instabot-2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#libraries used for web scraping below\n",
    "import matplotlib.pyplot as plt\n",
    "import selenium\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import argparse\n",
    "from selenium import webdriver\n",
    "from bs4 import BeautifulSoup\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from selenium.webdriver.common.by import By\n",
    "import time\n",
    "from selenium.common.exceptions import StaleElementReferenceException\n",
    "from selenium.common.exceptions import TimeoutException\n",
    "from selenium.webdriver.common.keys import Keys\n",
    "from selenium.common.exceptions import NoSuchElementException\n",
    "from selenium.webdriver.common.keys import Keys "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver = webdriver.Chrome('C:\\\\Users\\\\iderjit\\\\Downloads\\\\chromedriver_win32\\\\chromedriver')\n",
    "driver.get('https://www.instagram.com/')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#login to instagram\n",
    "import time\n",
    "loginIdinput = driver.find_element_by_name('username')\n",
    "loginIdinput.send_keys('9899960574') #Replace sample_mail_id with your email id\n",
    "Pass = driver.find_element_by_name('password')\n",
    "Pass.send_keys('staytuned') #Replace sample_password with your password\n",
    "driver.find_element_by_class_name('Igw0E.IwRSH.eGOV_._4EzTm.bkEs3.CovQj.jKUp7.DhRcB').click()\n",
    "time.sleep(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Q1. Now your friend has followed a lot of different food bloggers, he needs to analyse the habits of these bloggers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1.1 From the list of instagram handles you obtained when you searched ‘food’ in previous project. Open the first 10 handles and find the top 5 which have the highest number of followers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#searching for \"food\" again in the search bar and storing the top 10 usernames in a list\n",
    "WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH,'//span[contains(@class, \"TqC_a\")]')))\n",
    "time.sleep(2)\n",
    "driver.find_element_by_xpath('//span[contains(@class, \"TqC_a\")]').click()\n",
    "driver.find_element_by_xpath('//input[contains(@class, \"XTCLo\")]').send_keys('food')\n",
    "WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, '//span[@class=\"Ap253\"]')))\n",
    "time.sleep(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "count=0\n",
    "users=[]\n",
    "# list of top 10 users will be stored in this list.\n",
    "for i in driver.find_elements_by_xpath('//span[@class=\"Ap253\"]'):\n",
    "    user_n=i.get_attribute('innerHTML')\n",
    "    if user_n[0]!='#' and count<10:\n",
    "        users.append(i.get_attribute('innerHTML'))\n",
    "        count+=1\n",
    "\n",
    "driver.find_element_by_xpath('//div[contains(@class, \"coreSpriteSearchClear\")]').click()\n",
    "\n",
    "#now i will iterate through all the usernames in this list and do whatever is asked in the question\n",
    "followers=[]\n",
    "#this list will contain the number of followers of 10 users.\n",
    "\n",
    "\n",
    "for user in users:\n",
    "    driver.find_element_by_xpath('//span[contains(@class, \"TqC_a\")]').click()\n",
    "    driver.find_element_by_xpath('//input[contains(@class, \"XTCLo\")]').send_keys(user)\n",
    "    WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, \"//span[@class='Ap253']\")))\n",
    "    driver.find_element_by_xpath('//span[@class=\"Ap253\"]').click()\n",
    "    WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, '//a[@class=\"-nal3 \"]/span[@class=\"g47SY \"]')))\n",
    "    followers.append(driver.find_element_by_xpath('//a[@class=\"-nal3 \"]/span[@class=\"g47SY \"]').get_attribute('innerHTML'))\n",
    "    time.sleep(3.2)\n",
    "#now finally we have 2 arrays with usernames of users and their followers as a string. we need to convert this string into...\n",
    "#an integer somehow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['foodtalkindia', 'foodiesince96', 'food_belly11', 'foodiekaurexpeditions', 'dilsefoodie', 'food_from_devpreet_kitchen', 'food', 'food_lunatic', 'foodbossindia', 'eatorpassfoodie']\n",
      "['298k', '298k', '253k', '7,008', '3,641', '557k', '298k', '298k', '88.4k', '155k']\n"
     ]
    }
   ],
   "source": [
    "print(users)\n",
    "print(followers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "food_from_devpreet_kitchen\n",
      "food_lunatic\n",
      "food\n",
      "foodiesince96\n",
      "foodtalkindia\n"
     ]
    }
   ],
   "source": [
    "\n",
    "for i in range(len(followers)):\n",
    "    if not 'k' in followers[i]:\n",
    "        followers[i]=int(\"\".join(followers[i].split(',')))\n",
    "    else:\n",
    "        followers[i]=float(followers[i][:-1])*1000\n",
    "followers=np.array(followers, dtype='int')\n",
    "users=np.array(users)\n",
    "#sorted in ascending order\n",
    "users=users[np.argsort(followers)][::-1]\n",
    "followers=followers[np.argsort(followers)][::-1]\n",
    "#now printing top 5 \n",
    "top5=[]\n",
    "for x in range(5):\n",
    "    print(users[x])\n",
    "    top5.append(users[x])\n",
    "#following is a list of users with highest number of followers among those top 10."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### From the above result we can infer that amongst the first 10 instagram handles of food the top 5 handles that have the most no of followers are: food_from_devpreet_kitchen, food_lunatic, food, foodiesince96,foodtalkindia."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1.2 Now Find the number of posts these handles have done in the previous 3 days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "post=[]\n",
    "def get_posts(driver,usernames, n):\n",
    "    wait = WebDriverWait(driver, 10)\n",
    "    d = {}\n",
    "    #post=[]\n",
    "    ## Looping through the users \n",
    "    \n",
    "    for i in usernames:\n",
    "        driver.get('https://www.instagram.com/' + i)\n",
    "        key = i \n",
    "        try:\n",
    "            driver.find_element_by_xpath('//div[@class = \"v1Nh3 kIKUG  _bz0w\"]/a')  ##Finding first pic\n",
    "        except NoSuchElementException:\n",
    "            count = 0                         ## If not found then 0 posts are assigned and loop is not further continued\n",
    "            d[i]= count\n",
    "            continue\n",
    "        \n",
    "        ## clicking the first pic\n",
    "        first_pic = driver.find_elements_by_xpath('//div[@class = \"v1Nh3 kIKUG  _bz0w\"]/a')[0]\n",
    "        first_pic.click()                         \n",
    "        \n",
    "        wait.until(EC.presence_of_element_located((By.TAG_NAME,'time')))\n",
    "        \n",
    "         ## Getting the time during which the post was posted\n",
    "        t = driver.find_elements_by_tag_name('time')[-1].text.split(' ')[1]  \n",
    "        \n",
    "        count = 0\n",
    "        \n",
    "        while (t=='HOURS'  or t=='HOUR' or t=='DAYS' or t=='DAY' or t=='MINUTES' or t=='MINUTE' or t=='SECONDS' or t=='SECOND'):\n",
    "            \n",
    "            ## Updating count after checking  for appropriate tags\n",
    "            if t=='HOURS' or t=='HOUR'or t=='MINUTES' or t=='MINUTE' or t=='SECONDS' or t=='SECOND' or t=='DAY':\n",
    "                count+=1        \n",
    "\n",
    "            elif t=='DAYS':\n",
    "                if float(driver.find_elements_by_tag_name('time')[-1].text.split(' ')[0])<=n:\n",
    "                    count+=1\n",
    "                      ## if post is exceeding the time limit \n",
    "                else:                                                            ## then closing the pic and breaking from loop            \n",
    "                    break\n",
    "            else:\n",
    "                              \n",
    "                break\n",
    "            \n",
    "            ## going to next pic\n",
    "            driver.find_element_by_class_name('coreSpriteRightPaginationArrow').click()  \n",
    "            wait.until(EC.presence_of_element_located((By.TAG_NAME,'time')))      \n",
    "            \n",
    "            t = driver.find_elements_by_tag_name('time')[-1].text.split(' ')[1]   ## Updating the time tag\n",
    "        \n",
    "        ## adding the username with number of posts to dictionary\n",
    "        d[key] = count                  \n",
    "    \n",
    "    ## Printing the info\n",
    "    for k,v in d.items():\n",
    "        print(k,v)                 \n",
    "        post.append(v)\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "foodtalkindia 4\n",
      "food_from_devpreet_kitchen 4\n",
      "food 8\n",
      "food_lunatic 7\n",
      "foodiesince96 9\n",
      "[4, 4, 8, 7, 9]\n"
     ]
    }
   ],
   "source": [
    "top5=['food_from_devpreet_kitchen', 'food_lunatic', 'food', 'foodiesince96','foodtalkindia']\n",
    "n=3\n",
    "get_posts(driver,top5, n)\n",
    "print(post)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1.3 Depict this information using a suitable graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4, 4, 8, 7, 9])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post=np.array(post)\n",
    "post"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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StgaQtAPwP8B1hUZl3Vq6dGnRIQx7roPiuQ6szHwKqWfTgHWAhZKWkZK+UyJifrFhWXdO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\nB0LgOIEYD+NaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x87bf6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "#graph between top 5 users and the number of posts\n",
    "top5=['food_from_devpreet_kitchen', 'food_lunatic', 'food', 'foodiesince96','foodtalkindia']\n",
    "pos=[4,4,8,7,9]\n",
    "arr=range(len(top5))\n",
    "plt.xticks(arr,top5)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Users versus number of posts', size=12)\n",
    "plt.xlabel('users--->', size=12)\n",
    "plt.ylabel('number of posts--->', size=12)\n",
    "plt.bar(arr,pos)\n",
    "plt.grid()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Q2. Your friend also needs a list of hashtags that he should use in his posts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2.1 Open the 5 handles you obtained in the last question, and scrape the content of the first 10 posts of each handle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'foodtalkindia': ['What on earth 😂. I love Sushi', 'Happy International Beer Day, folks!\\nA day to celebrate beer in all its fizzy glory, with some fun beer games… 🍻 #InternationalBeerDay #beerstagram\\n\\n1. Flip Cup - What you need: Beers, cups\\n\\nFlip Cup is a good starter for a house party! There are two teams competing against each other. Both teams stand on opposite sides of the table and keep their cups with drinks at the edge. Everyone must finish their drink and flip the cup, upside-down before the next member begins. First team to complete this wins.\\n\\n2. Buzz- What you need: Beers\\n\\nOne of the easiest games, each player starts counting a number and says it aloud, except 7 and its multiples, in which case, you say buzz. If you don\\'t, you drink your beer. Simple!\\n\\n3. Most Likely - What you need: Beers\\n\\nThe group sits in a circle and asks a \\'most likely\\' question. For example, \"Who would be most likely to fart in front of strangers?\" After counting to three, everyone points at a person who they think are most likely to do so. The person who has the maximum number of fingers pointed at them, drinks as many Beers.\\n\\n4. Straight Face - What you need: Beers\\n\\nWhen you get drunk, it\\'s tough to keep a straight face and this game challenges just that. You write funny or inappropriate sentences on small pieces of paper - ones that are tough to read while keeping a straight face. Each player picks up a chit of paper and tries to keep a straight face. The one who giggles or reacts has to drink their beer!\\n\\nImage Courtsey -\\nThrillist\\nMental Floss\\nUS News & World Report\\nFreepik\\nMatador Network', 'The good food, the jazz vibes, ease of the place and perfect company is back! @tpmcafes have opened their Delhi outlet between 12PM to 9PM for limited dine-In & delivery!\\n. \\nTheir delivery menu’s got some absolutely delicious new add-ons you don’t wanna miss out on. Their signature burrito bowl is a must-try. \\U0001f959\\n. \\nFollowing all safety precautions, @tpmcafes promises some good times and great eats! 🍕\\U0001f959🍛🌯', 'Imagine biting into a thick butter shortbread crust, chewy caramel, and milk chocolate all at once. Yes, it’s basically heaven in your mouth! We’ve got the ultimate dessert for you, these twix candy bars are incredibly easy and delicious to make! 🍫 #TalkRecipe\\n\\nIngredients:\\n- Graham Crackers\\n- Caramel\\n- Milk\\n- Sweet Chocolate Chips\\n\\nPreparations:\\nStep 1 - Melt the caramels with 3 tablespoon milk in a microwave safe bowl for 1 minute. Stir and continue to heat for 30 seconds at a time until smooth.\\n\\nStep 2 - Break the graham crackers in half, lengthwise. Spread a thick layer of caramel on each cracker and let it set up.\\n\\nStep 3 - Dunk each bar into the melted chocolate, making sure to cover the whole thing.\\n\\nStep 4 - Store in a sealed container at room temperature.\\n\\nStep 5 - Try microwaving the bars for a few seconds for a gooey treat!\\n\\ncredits: ohhotcakes.com', 'Having a well-stocked pantry and fridge is like money in the bank. Swipe left to checkout FTI’s weekly pantry picks:\\n\\n1. Big Fat Essentials- Gourmet dips, savoury jams, sauces, spreads and flavoured cream cheese with gourmet breads, bagels, slow-cooked and marinated meats and many other essentials, Big Fat essentials will become your go-to! \\U0001f96f\\U0001f9c4\\U0001f953\\n2. Kylin- Secrets of Kylin in ready to cook sauces for your home kitchen. From flavourful Burnt Chili Oil to delectable Thai Curry Paste, cooking up delicacies at home just got easier! 🌶🍲\\n3. Azure Retail- Get cooking and satiate your cravings at home with these sauces and pastes from Azure Retail. We’ve got you covered for those on-point punjabi flavours from Dhaba, for those slick European flavours by Sly Granny and to up your Asian flavours by Mamagoto. \\U0001f958\\U0001f962\\U0001f961\\n4. Fig & Maple Signature- Craving a creamy curry loaded with tropical flavours, Fig’s Coconut Chili Lime sauce is what you need or if you want a cup of hot chocolate, a glass of chilled chocolate malt, frost cakes or need something to slather over pancakes and waffles, their Ultimate Choco Sauce will fulfill your needs! \\U0001f965\\U0001f95e🍫\\n\\n@bigfatessentials • @kylinexperienceofficial • @dhaba1986 • @mamagotofunasian • @sly_granny • @figandmapledelhi', 'Who’s enjoying their weekend with a lovely cup of coffee? We surely are with @elbuenocoffeeroasters! El Bueno means ‘the good’, and we’re totally tasting a whole lot of goodness in our cuppa.\\nBringing you interesting fine roasts like the Whiskey Fermented Red Honey Coffee that leaves a lingering taste of Irish cream, The Weekend- their signature Indian- Ethopian Blend with lovely notes of milk chocolate and the Red Honey PSD with its sweet winey flavours standing out among many more in store for you. ☕️🍫\\n\\nStanding as one of the only coffee roasters in the country that’s founded by a woman by @manvi.gupta16, their lovely coffee roasts come loaded with flavour, aromas and a whole lot of inspiration! ☕️\\n\\nIt’s time to up your coffee game, get your bag of roasted goodness now!', 'Story of our lives! 🍳\\n#weekendvibes', 'Still thinking of how to sweeten your celebrations this Raksha Bandhan? How about gifting them some love from @theartful_baker! Share the joy with deliciousness in their hampers, get yours now! \\U0001f9c1🍰🍪🍞\\n\\nFor direct orders call:\\n\\nGurgaon:+91 97188 00822/9871118099\\nNoida: +918130595504\\nDelhi: +91 94570 00512\\nMumbai:\\nAndheri East- 7700949565/ 02228501146\\nBKC- 7700972445/ 77009 72446\\nKalaghoda-7400096123/ 02222845566', 'When thinking of sangria, usually the red version comes to mind, but there are many vino varieties that make up the best wines for sangria.\\nFor wine lovers, here are some suggestions for getting into the sangria groove, based on wine type. Cheers! 🍷\\n\\n- Red Wine\\nFor a more drinkable sangria concoction, look for dry red wines that are reasonably price, tasty and offer simple, fruit-driven flavors and aromas.\\n\\n- White Wine\\nUnoaked Chardonnays tend to do well, as do Chenin Blanc wines and are great choices for a white wine sangria.\\n\\n- Rosé Wine\\nGiven the lighter red berry flavors and aromas presented by many rosés, this wine type tends to do best in sangria recipes that include raspberries, cranberries, and peaches as the main fruit ingredient.\\n\\n- Dessert Wine\\nSweet wines might not seem like a winning sangria option, but with a little careful planning, a dessert sipper can produce a tasty and memorable mix.\\n\\n#Sangria #WeekendVibes #Wine', '@papparotiindia Oh So Soft & fluffy #BunsOflove from PappaRoti are the perfect sweets for your Siblings this Rakhi. These buns are topped with dollops of luscious nutella, lotus biscoff, cheese, salted caramel and many more. \\nGet your favourite boxes delivered to your door. \\nCONTACT FOR DELIVERY ACROSS \\n\\nDELHI NCR - 8595332554 (whatsapp) ; ORDER ONLINE\\nwww.papparoti.co.in \\n@papparotidelhincr\\n\\nBANGALORE - 080-49626221 / +91 7371804077, Phoenix Market city bangalore , *SPECIAL OFFERS AVAILABLE* @papparotibangalore'], 'food_from_devpreet_kitchen': [\"Sattu kachori with ghughni..#saturdayspecial .\\nBihari's favourite breakfast\\nKachori stuffed with chatpati sattu and ghughni served with pyaj and dahi sprinkled\\n.\\n.\\n#saturday #sattukachori😋 #ghughni\\U0001f958😋👌 #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagood #netflixfood #photography #devpreetkitchen\", 'Chicken lollipop with biriyani,\\n\\nFinally had the chance to gorge on a plate of chicken after almost one month😋\\n\\n#comfortfood #quickrecipe #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagood', 'Chicken lollipop... A very popular appetizer and served as starter in Indian Chinese cuisine.\\n.\\n.\\n#chickenrecipes #chickenlollypops🍗 #starter #appetizers #foodstagram #foodie #foodblogger #foodnetwork #feedfeed #bihariblogger #bihar #bhagalpurfoodie #quickrecipe #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #indianfoodbloggers #homecooking #indianhomechef #homechef #netflixfood #worldfood #wow #instagood #chefs', 'Creamy Restaurant style Paneer Butter Masala is easy to make at home.\\n\\nThis creamy curry is made with onion, tomatoes, cashews, cream and butter (of course!).\\n\\nIt has a mild sweet taste and pairs beautifully with garlic naan or jeera rice.\\n\\n#paneerbuttermasala #paneer #creamysauce #netflixfood #quickrecipe #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagood', 'Cheesy Sandwich...\\nA simple bread stuffed with lots of green vegetables and ofcourse the most important cheese, toasted in butter\\n.\\n.\\n#comfortfood #sandwich #quickrecipe #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagrambusiness #instagram', \"Rasmalai.. Rakshabandhan special.\\nThis is everyone's favourite dessert after a heavy meal.\\n.\\n.\\nIf happiness is considered yellow,then I know why it's my favorite colour,bcoz that's what rasmalai looks like 😍\\n.\\n.\\nToday I tried my hands on making this spongy rasamalai on this festive season, and it turned out really really awesome.\\n.\\n.\\n#rasmalai #quickrecipe #dessert #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagood #netflixfood\", 'Cheesy potatoe nuggets.\\n\\n#foodie #foodstagram #foodblogger #foodnetwork #feedfeed #foodfrommykitchen #bihar #bhagalpurfoodie #bihariblogger #instagrambusiness #instagram', \"Today's lunch platter #tehri #potatoes #cucumberraita\\U0001f952 #easytocook\\n\\n#instagrambusiness #instagram #bihariblogger #bhagalpur #bhagalpurfoodie #foodstagram #foodie #foodlover #feedfeed #biharitaste\", 'Dinner tonight, a plate full of protein ,fibres and carbs😇 #paneer #paneerbhurji\\n❣️\\n\\n#paneerbhurji #salad #roti #comfortfood #instagram #instagrambusiness #quickrecipe #easytocook #foodstagram #foodblogger #foodphotography #photothatspeaksamillionwords #foodporn #tasteofindia #bachelorsfood #noodles #indianfoodbloggers #homecooking #indianhomechef #homechef #foodie #worldfood #wow #instagood', 'To improve your zest for life,fill it with vitamin-C\\n👉The most needed fruit these days.\\n👉The best immune booster.\\n\\n#oranges #vitaminc #immunebooster #photography #fotografia #fruitphotographyobsession #feedfeed #foodie #foodstagram #foodporn #photothatspeaks #foodphotography📷'], 'food': ['What on earth 😂. I love Sushi', 'Happy International Beer Day, folks!\\nA day to celebrate beer in all its fizzy glory, with some fun beer games… 🍻 #InternationalBeerDay #beerstagram\\n\\n1. Flip Cup - What you need: Beers, cups\\n\\nFlip Cup is a good starter for a house party! There are two teams competing against each other. Both teams stand on opposite sides of the table and keep their cups with drinks at the edge. Everyone must finish their drink and flip the cup, upside-down before the next member begins. First team to complete this wins.\\n\\n2. Buzz- What you need: Beers\\n\\nOne of the easiest games, each player starts counting a number and says it aloud, except 7 and its multiples, in which case, you say buzz. If you don\\'t, you drink your beer. Simple!\\n\\n3. Most Likely - What you need: Beers\\n\\nThe group sits in a circle and asks a \\'most likely\\' question. For example, \"Who would be most likely to fart in front of strangers?\" After counting to three, everyone points at a person who they think are most likely to do so. The person who has the maximum number of fingers pointed at them, drinks as many Beers.\\n\\n4. Straight Face - What you need: Beers\\n\\nWhen you get drunk, it\\'s tough to keep a straight face and this game challenges just that. You write funny or inappropriate sentences on small pieces of paper - ones that are tough to read while keeping a straight face. Each player picks up a chit of paper and tries to keep a straight face. The one who giggles or reacts has to drink their beer!\\n\\nImage Courtsey -\\nThrillist\\nMental Floss\\nUS News & World Report\\nFreepik\\nMatador Network', 'The good food, the jazz vibes, ease of the place and perfect company is back! @tpmcafes have opened their Delhi outlet between 12PM to 9PM for limited dine-In & delivery!\\n. \\nTheir delivery menu’s got some absolutely delicious new add-ons you don’t wanna miss out on. Their signature burrito bowl is a must-try. \\U0001f959\\n. \\nFollowing all safety precautions, @tpmcafes promises some good times and great eats! 🍕\\U0001f959🍛🌯', 'Imagine biting into a thick butter shortbread crust, chewy caramel, and milk chocolate all at once. Yes, it’s basically heaven in your mouth! We’ve got the ultimate dessert for you, these twix candy bars are incredibly easy and delicious to make! 🍫 #TalkRecipe\\n\\nIngredients:\\n- Graham Crackers\\n- Caramel\\n- Milk\\n- Sweet Chocolate Chips\\n\\nPreparations:\\nStep 1 - Melt the caramels with 3 tablespoon milk in a microwave safe bowl for 1 minute. Stir and continue to heat for 30 seconds at a time until smooth.\\n\\nStep 2 - Break the graham crackers in half, lengthwise. Spread a thick layer of caramel on each cracker and let it set up.\\n\\nStep 3 - Dunk each bar into the melted chocolate, making sure to cover the whole thing.\\n\\nStep 4 - Store in a sealed container at room temperature.\\n\\nStep 5 - Try microwaving the bars for a few seconds for a gooey treat!\\n\\ncredits: ohhotcakes.com', 'Having a well-stocked pantry and fridge is like money in the bank. Swipe left to checkout FTI’s weekly pantry picks:\\n\\n1. Big Fat Essentials- Gourmet dips, savoury jams, sauces, spreads and flavoured cream cheese with gourmet breads, bagels, slow-cooked and marinated meats and many other essentials, Big Fat essentials will become your go-to! \\U0001f96f\\U0001f9c4\\U0001f953\\n2. Kylin- Secrets of Kylin in ready to cook sauces for your home kitchen. From flavourful Burnt Chili Oil to delectable Thai Curry Paste, cooking up delicacies at home just got easier! 🌶🍲\\n3. Azure Retail- Get cooking and satiate your cravings at home with these sauces and pastes from Azure Retail. We’ve got you covered for those on-point punjabi flavours from Dhaba, for those slick European flavours by Sly Granny and to up your Asian flavours by Mamagoto. \\U0001f958\\U0001f962\\U0001f961\\n4. Fig & Maple Signature- Craving a creamy curry loaded with tropical flavours, Fig’s Coconut Chili Lime sauce is what you need or if you want a cup of hot chocolate, a glass of chilled chocolate malt, frost cakes or need something to slather over pancakes and waffles, their Ultimate Choco Sauce will fulfill your needs! \\U0001f965\\U0001f95e🍫\\n\\n@bigfatessentials • @kylinexperienceofficial • @dhaba1986 • @mamagotofunasian • @sly_granny • @figandmapledelhi', 'Who’s enjoying their weekend with a lovely cup of coffee? We surely are with @elbuenocoffeeroasters! El Bueno means ‘the good’, and we’re totally tasting a whole lot of goodness in our cuppa.\\nBringing you interesting fine roasts like the Whiskey Fermented Red Honey Coffee that leaves a lingering taste of Irish cream, The Weekend- their signature Indian- Ethopian Blend with lovely notes of milk chocolate and the Red Honey PSD with its sweet winey flavours standing out among many more in store for you. ☕️🍫\\n\\nStanding as one of the only coffee roasters in the country that’s founded by a woman by @manvi.gupta16, their lovely coffee roasts come loaded with flavour, aromas and a whole lot of inspiration! ☕️\\n\\nIt’s time to up your coffee game, get your bag of roasted goodness now!', 'Story of our lives! 🍳\\n#weekendvibes', 'Still thinking of how to sweeten your celebrations this Raksha Bandhan? How about gifting them some love from @theartful_baker! Share the joy with deliciousness in their hampers, get yours now! \\U0001f9c1🍰🍪🍞\\n\\nFor direct orders call:\\n\\nGurgaon:+91 97188 00822/9871118099\\nNoida: +918130595504\\nDelhi: +91 94570 00512\\nMumbai:\\nAndheri East- 7700949565/ 02228501146\\nBKC- 7700972445/ 77009 72446\\nKalaghoda-7400096123/ 02222845566', 'When thinking of sangria, usually the red version comes to mind, but there are many vino varieties that make up the best wines for sangria.\\nFor wine lovers, here are some suggestions for getting into the sangria groove, based on wine type. Cheers! 🍷\\n\\n- Red Wine\\nFor a more drinkable sangria concoction, look for dry red wines that are reasonably price, tasty and offer simple, fruit-driven flavors and aromas.\\n\\n- White Wine\\nUnoaked Chardonnays tend to do well, as do Chenin Blanc wines and are great choices for a white wine sangria.\\n\\n- Rosé Wine\\nGiven the lighter red berry flavors and aromas presented by many rosés, this wine type tends to do best in sangria recipes that include raspberries, cranberries, and peaches as the main fruit ingredient.\\n\\n- Dessert Wine\\nSweet wines might not seem like a winning sangria option, but with a little careful planning, a dessert sipper can produce a tasty and memorable mix.\\n\\n#Sangria #WeekendVibes #Wine', '@papparotiindia Oh So Soft & fluffy #BunsOflove from PappaRoti are the perfect sweets for your Siblings this Rakhi. These buns are topped with dollops of luscious nutella, lotus biscoff, cheese, salted caramel and many more. \\nGet your favourite boxes delivered to your door. \\nCONTACT FOR DELIVERY ACROSS \\n\\nDELHI NCR - 8595332554 (whatsapp) ; ORDER ONLINE\\nwww.papparoti.co.in \\n@papparotidelhincr\\n\\nBANGALORE - 080-49626221 / +91 7371804077, Phoenix Market city bangalore , *SPECIAL OFFERS AVAILABLE* @papparotibangalore'], 'food_lunatic': ['Made these cute cupcakes from scratch.\\U0001f9c1❤️\\n#Recipe will be live on @zingyzest’s IGTV super soon.⭐️', '#Throwback to the days when eating outside was just another thing.💁🏻\\u200d♀️\\nI have cooked almost everything which I loved eating at restaurants but the only thing I badly miss is dining in with my friends and chatting for hours.\\U0001f97a', 'Made spinach and corn sandwich from scratch.\\U0001f96a\\nYou can add in your desired veggies. Trust me, it was superb.😍\\U0001f924\\n.\\n#Sandwich #Recipe', 'Nutella on pizza because why not?😍\\U0001f924\\nTag a Nutella lover and say nothing.\\U0001f923', '“Tyson, just wait until next year.”\\nI think now we all can relate to this.😌\\n.\\nI had this awesomeness at Raabta before lockdown and it tasted damn good.\\U0001f924❤️', 'ISBT maggi at Cafe Delhi Heights is something you can definitely not miss.🍝\\U0001f924\\n\\nCAUTION- It was too hot.🔥', 'What could be better than having momos in such awesome weather.😍\\U0001f924\\nWheat chicken momos from Bistro37.⭐️', 'After a long tiring weekend, I am finally taking a day off.😅\\nHaving my fav cheese corn sandwiches stuffed with sweet corn, loads of cheese, and some Italian herbs.😋❤️', 'Our relationship is literally like Tom and Jerry - We tease each other, knock down each other, irritate each other, but still can’t live without each other.❤️😘\\n\\nMy brother has always spoiled me like his first child. So this Raksha Bandhan, I decided to pamper him and ordered his favourite pizzas from pizza hut.🍕\\n\\nWe opted for Pizza Hut’s #ContactlessDelivery and thanks to #HutHeroes for delivering Hut Treat meal for 4 safely from their oven to our doorstep, untouched & sealed with care.♥️ #HutCares\\n\\nI am glad, #MomApproved to order from Pizza Hut as it ensures #TrustInEveryBite⭐️\\n.\\n#Rakshabandhan #Rakhi #RakhiWithPizzaHut #Brother #Sister #ITrustPizzaHut #ContactlessDelivery #TrustInEveryBite #HutLovers #PizzaHutIndia', 'Spiderman cake for the biggest Spiderman fan.👻\\nThank you @purplepixiecakes for this beautiful cake.⭐️ Neer is totally in love with it.❤️\\nAnd a big thankyou to everyone for so many messages and love. Virtual kisses from Neer.😘\\n.\\n#Birthday #BirthdayCake'], 'foodiesince96': ['Bombay bhel house 😍♥️ Dhokla Chaat\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #streetfood #streetfoodlover #dhokla\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Yum platter 😍😍😍\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #platter #vegetarian #momo #chillipotato #springroll #fries\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Made these Banana Chocolate / Caramel Candies first time 😍😍 This turned out delicious especially the white chocolate one 🙈🙈😍😍 ( After coating the banana with Chocolate & caramel you have to keep it in the fridge and let it set )\\n.\\nI made caramel sauce at home it’s so perfect 😍😍\\n.\\n.\\nPs. When I was shooting this video it started raining hence had to shoot in artificial light😿\\U0001f97a plus I bought a new camera still trying to figure out its function \\U0001f92a\\U0001f92a\\U0001f923\\U0001f923\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #chocolate #caramel #banana #chcoolatedipped #bananachocolate #caramel\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Hi friends! @grofers is back with its Grand Orange Bag Days Sale! Find the lowest prices and get maximum savings along with exciting discounts such as flat 50% off, Buy1 Get1, Buy2Get1 and so many more amazing offers! I have prepared my shopping list and I am super excited. The sale is already live for Smart Bachat Club members and you too can get an early access to the sale by becoming SBC member. So what are you waiting for? Become a Smart Bachat Club member and get maximum savings. The sale ends on 16th of August, hurry up!\\n.\\n.\\n\\n#unlocksastedaamongobd\\n#grofers\\n#GOBD #GrandOrangeBagDays #groceryshopping\\n#foodgasm #delhi_igers #foodiesince96 #sale #onlinesale #grocery #ad', 'Tag someone who will love this 😍😍😍\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #desichinese #chinese #chinesefood\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'I’m missing BURGERS 😶😶😶🙄🙄🙄🙄😭😭😭😭\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #burger #burgerlove #burgers\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Had these delicious kebabs from Charocal. The Seekh Kebabs, Malai broccoli was yum 😍😍\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #streetfood #kebab #seekhkebab #chicken #mutton #vegetarian #kebabtime\\n.\\n\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Chicken shawarma or creamy lollipop 😍😍😍\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #streetfood #indianstreetfood', 'Major craving for these Galouti burger 😑😑😶🙄🙄\\U0001f97a\\U0001f97a\\U0001f97a for Farzi\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #burger #farzi #galouti #burgerlove #burgers\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96', 'Black Forest Cake using White Bread 😍😍 My dad could not tell the difference 🙈🙈💁🏻\\u200d♀️💁🏻\\u200d♀️ He said kaunsi bakery se laye ho 👻\\n.\\n.\\n\\n#Foodtalkindia #delicious #delhigram #feedfeed #buzzfeast #recipe #mumbaifoodie #mumbaifood #ilovefood #instafood #nomnom #hungry #foodstagram #eeeeeats #foodblogger #delhifoodie #foodoftheday #foodgasm #delhi_igers #foodiesince96 #cake #blackforestcake #whitebread #cakedecorating #cakesofinstagram #homemade #recipe #breadcake\\n.\\n.\\nFollow @foodiesince96 💫💫 for more delicious updates\\nYouTube - Mehak Dhawan\\nSnapchat - Foodiesince96']}\n"
     ]
    }
   ],
   "source": [
    "#iterating through the list of top 5 users with maximum followers\n",
    "#and counting the number of posts they have done in past 3 days\n",
    "top5=['food_from_devpreet_kitchen', 'food_lunatic', 'food', 'foodiesince96','foodtalkindia']\n",
    "dictn = {}\n",
    "for user in top5:\n",
    "    \n",
    "    li = []\n",
    "    hashtags=[]\n",
    "    \n",
    "    driver.find_element_by_xpath('//input[contains(@class,\"XTCLo\")]').clear()\n",
    "    time.sleep(1)\n",
    "    driver.find_element_by_xpath('//input[contains(@class,\"XTCLo\")]').send_keys(user)\n",
    "    \n",
    "    wait=WebDriverWait(driver,10)\n",
    "    profile=wait.until(EC.presence_of_element_located((By.XPATH,'//a[contains(@class,\"yCE8d\")]')))\n",
    "    profile.click()\n",
    "    time.sleep(3)\n",
    "\n",
    "    s=driver.find_element_by_class_name('_9AhH0')\n",
    "    s.click()\n",
    "    time.sleep(5)\n",
    "    \n",
    "    caption=driver.find_element_by_xpath('//div[contains(@class,\"C4VMK\")]/span')\n",
    "    li.append(caption.text)\n",
    "    \n",
    "      \n",
    "    for j in range(9):\n",
    "        \n",
    "        nxt=driver.find_element_by_xpath('//a[contains(@class,\"_65Bje \")]')\n",
    "        nxt.click()\n",
    "        WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, '//div[contains(@class, \"C4VMK\")]')))\n",
    "        for hashes in driver.find_elements_by_xpath('//div[contains(@class, \"C4VMK\")]/span/a'):\n",
    "            hashtags.append(hashes.get_attribute('innerHTML'))\n",
    "        wait=WebDriverWait(driver,10)\n",
    "        caption=wait.until(EC.presence_of_element_located((By.XPATH,'//div[contains(@class,\"C4VMK\")]/span')))\n",
    "        li.append(caption.text.strip())\n",
    "        \n",
    "        \n",
    "    close=wait.until(EC.presence_of_element_located((By.XPATH,'//div[contains(@class,\"BI4qX\")]/button')))\n",
    "    close.click()\n",
    "    \n",
    "    dictn[user]=li\n",
    "    \n",
    "\n",
    "print(dictn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2.2 Prepare a list of all words used in all the scraped posts and calculate the frequency of each word."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Everyone': 2,\n",
       " 'FOR': 2,\n",
       " '@figandmapledelhi': 2,\n",
       " 'Caramel-': 2,\n",
       " 'each': 12,\n",
       " 'Beers,': 2,\n",
       " 'broccoli': 1,\n",
       " 'uploading': 1,\n",
       " 'smooth.Step': 2,\n",
       " 'straight': 6,\n",
       " 'surely': 2,\n",
       " 'has': 6,\n",
       " 'other.': 2,\n",
       " 'about': 2,\n",
       " '7700972445/': 2,\n",
       " 'crust,': 2,\n",
       " 'sale': 3,\n",
       " 'amazing': 1,\n",
       " 'Buzz-': 2,\n",
       " 'Beers.4.': 2,\n",
       " '30': 2,\n",
       " 'long': 1,\n",
       " 'Granny': 2,\n",
       " 'Chardonnays': 2,\n",
       " 'recipes': 2,\n",
       " \"Today's\": 1,\n",
       " 'Bag': 1,\n",
       " 'Story': 2,\n",
       " 'flat': 1,\n",
       " 'offer': 2,\n",
       " '#immunebooster': 1,\n",
       " '💫💫': 8,\n",
       " '🍕\\U0001f959🍛🌯': 2,\n",
       " 'creamy': 4,\n",
       " '#appetizers': 1,\n",
       " 'This': 2,\n",
       " '#Sister': 1,\n",
       " 'tend': 2,\n",
       " 'Essentials-': 2,\n",
       " '#paneerbhurji': 1,\n",
       " 'love': 5,\n",
       " 'super': 2,\n",
       " 'Buy2Get1': 1,\n",
       " '#chefs': 1,\n",
       " 'Foodiesince96': 8,\n",
       " '#chickenlollypops🍗': 1,\n",
       " 'down': 1,\n",
       " 'sipper': 2,\n",
       " 'member': 3,\n",
       " 'totally': 2,\n",
       " 'se': 1,\n",
       " 'Choco': 2,\n",
       " 'beer.': 2,\n",
       " 'home': 7,\n",
       " 'served': 2,\n",
       " 'News': 2,\n",
       " 'lengthwise.': 2,\n",
       " 'BeersThe': 2,\n",
       " 'badly': 1,\n",
       " 'Become': 1,\n",
       " 'let': 3,\n",
       " 'pancakes': 2,\n",
       " 'we': 1,\n",
       " '8595332554': 2,\n",
       " '@kylinexperienceofficial': 2,\n",
       " '#WeekendVibes': 2,\n",
       " 'cooked': 1,\n",
       " 'precautions,': 2,\n",
       " '77009': 2,\n",
       " 'woman': 2,\n",
       " 'bought': 1,\n",
       " 'AVAILABLE*': 2,\n",
       " 'curry': 3,\n",
       " 'melted': 2,\n",
       " '@foodiesince96': 8,\n",
       " '😍😍😍.#Foodtalkindia': 3,\n",
       " ',fibres': 1,\n",
       " 'like': 9,\n",
       " 'face': 2,\n",
       " 'figure': 1,\n",
       " 'door.': 2,\n",
       " 'Graham': 2,\n",
       " 'off.😅Having': 1,\n",
       " '7': 2,\n",
       " 'rasmalai': 1,\n",
       " 'spreads': 2,\n",
       " 'other.❤️😘My': 1,\n",
       " 'pamper': 1,\n",
       " 'but': 6,\n",
       " 'almost': 2,\n",
       " 'crackers': 2,\n",
       " 'shortbread': 2,\n",
       " '#foodporn': 8,\n",
       " 'restaurants': 1,\n",
       " 'cupsFlip': 2,\n",
       " 'seconds': 4,\n",
       " 'enjoying': 2,\n",
       " 'among': 2,\n",
       " 'Get1,': 1,\n",
       " 'cream,': 2,\n",
       " 'on.': 2,\n",
       " 'time': 5,\n",
       " 'lovely': 6,\n",
       " 'new': 3,\n",
       " 'Likely': 2,\n",
       " '9PM': 2,\n",
       " '080-49626221': 2,\n",
       " '00822/9871118099Noida:': 2,\n",
       " 'becoming': 1,\n",
       " 'graham': 2,\n",
       " 'platter': 2,\n",
       " 'team': 2,\n",
       " 'there': 2,\n",
       " 'might': 2,\n",
       " 'Coconut': 2,\n",
       " 'kachori': 1,\n",
       " 'pastes': 2,\n",
       " 'beer': 4,\n",
       " 'comes': 2,\n",
       " 'ofcourse': 1,\n",
       " 'microwave': 2,\n",
       " 'become': 2,\n",
       " 'make': 3,\n",
       " 'based': 2,\n",
       " 'butter..#comfortfood': 1,\n",
       " 'colour,bcoz': 1,\n",
       " 'Kylin-': 2,\n",
       " 'delicious': 14,\n",
       " '#breadcake': 1,\n",
       " 'example,': 2,\n",
       " 'vibes,': 2,\n",
       " 'fav': 1,\n",
       " 'Yes,': 2,\n",
       " 'did': 1,\n",
       " 'gooey': 2,\n",
       " 'dine-In': 2,\n",
       " 'Fig': 2,\n",
       " '🙈🙈💁🏻\\u200d♀️💁🏻\\u200d♀️': 1,\n",
       " 'this.😌.I': 1,\n",
       " 'breakfastKachori': 1,\n",
       " 'ho': 1,\n",
       " 'season,': 1,\n",
       " 'buns': 2,\n",
       " 'deliciousness': 2,\n",
       " 'only': 3,\n",
       " 'Spread': 2,\n",
       " 'city': 2,\n",
       " 'still': 2,\n",
       " 'favorite': 1,\n",
       " 'pizzas': 1,\n",
       " 'Candies': 1,\n",
       " 'weekend': 2,\n",
       " '#ad': 1,\n",
       " '\\U0001f958\\U0001f962\\U0001f9614.': 2,\n",
       " 'Banana': 1,\n",
       " 'taste': 3,\n",
       " 'place': 2,\n",
       " 'Cheers!': 2,\n",
       " 'wine': 8,\n",
       " 'chance': 1,\n",
       " 'by': 11,\n",
       " '#indianfoodbloggers': 7,\n",
       " '97188': 2,\n",
       " 'cranberries,': 2,\n",
       " 'Bistro37.⭐️': 1,\n",
       " '@dhaba1986': 2,\n",
       " 'suggestions': 2,\n",
       " '94570': 2,\n",
       " 'hot.🔥': 1,\n",
       " 'next': 3,\n",
       " '#mumbaifoodie': 9,\n",
       " 'good’,': 2,\n",
       " '1.': 2,\n",
       " 'special.': 1,\n",
       " 'after': 2,\n",
       " '#foodfrommykitchen': 1,\n",
       " 'NCR': 2,\n",
       " 'garlic': 1,\n",
       " 'maximum': 4,\n",
       " 'sandwich': 1,\n",
       " 'pointed': 2,\n",
       " '&': 10,\n",
       " '#instagrambusiness': 4,\n",
       " 'mild': 1,\n",
       " 'thinking': 4,\n",
       " 'how': 2,\n",
       " '#tehri': 1,\n",
       " 'El': 2,\n",
       " 'essentials,': 2,\n",
       " 'says': 2,\n",
       " 'company': 2,\n",
       " '#photography': 2,\n",
       " 'its': 8,\n",
       " 'wines': 8,\n",
       " 'promises': 2,\n",
       " 'ingredient.-': 2,\n",
       " 'few': 2,\n",
       " '#Recipe': 1,\n",
       " 'up': 10,\n",
       " 'chocolate,': 4,\n",
       " 'weekly': 2,\n",
       " 'waiting': 1,\n",
       " 'Simple!3.': 2,\n",
       " 'sits': 2,\n",
       " 'coffee?': 2,\n",
       " 'Sandwich...A': 1,\n",
       " 'begins.': 2,\n",
       " '#GrandOrangeBagDays': 1,\n",
       " 'prepared': 1,\n",
       " '#weekendvibes': 2,\n",
       " '👻..#Foodtalkindia': 1,\n",
       " 'know': 1,\n",
       " 'before': 3,\n",
       " ')': 1,\n",
       " 'Melt': 2,\n",
       " 'fulfill': 2,\n",
       " '3': 4,\n",
       " 'Tom': 1,\n",
       " 'biting': 2,\n",
       " 'need:': 8,\n",
       " 'wanna': 2,\n",
       " 'kaunsi': 1,\n",
       " '#bachelorsfood': 6,\n",
       " 'ensures': 1,\n",
       " 'Nutella': 2,\n",
       " '#delhi_igers': 10,\n",
       " 'groove,': 2,\n",
       " '#delhigram': 9,\n",
       " 'for?': 1,\n",
       " 'Fat': 4,\n",
       " 'Butter': 1,\n",
       " 'bakery': 1,\n",
       " 'butter': 3,\n",
       " \"that's\": 1,\n",
       " 'Market': 2,\n",
       " 'from': 15,\n",
       " 'cashews,': 1,\n",
       " '#Brother': 1,\n",
       " 'careful': 2,\n",
       " 'breads,': 2,\n",
       " 'craving': 1,\n",
       " 'celebrations': 2,\n",
       " 'joy': 2,\n",
       " 'go-to!': 2,\n",
       " 'savoury': 2,\n",
       " 'BURGERS': 1,\n",
       " 'sentences': 2,\n",
       " 'BeersOne': 2,\n",
       " 'When': 3,\n",
       " 'funny': 2,\n",
       " 'do': 8,\n",
       " 'slather': 2,\n",
       " '#HutLovers': 1,\n",
       " 'Irish': 2,\n",
       " 'winey': 2,\n",
       " 'bar': 2,\n",
       " 'vitamin-C': 1,\n",
       " 'keeping': 2,\n",
       " 'damn': 1,\n",
       " 'untouched': 1,\n",
       " 'version': 2,\n",
       " 'relate': 1,\n",
       " 'which': 3,\n",
       " 'incredibly': 2,\n",
       " '@tpmcafes': 4,\n",
       " '#burgers': 2,\n",
       " 'rosés,': 2,\n",
       " 'read': 2,\n",
       " 'tropical': 2,\n",
       " 'Charocal.': 1,\n",
       " 'sauce': 3,\n",
       " 'fruit-driven': 2,\n",
       " 'lovers,': 2,\n",
       " 'Mehak': 8,\n",
       " 'Cake': 1,\n",
       " 'friends': 1,\n",
       " 'BeersWhen': 2,\n",
       " 'lotus': 2,\n",
       " 'chicken': 2,\n",
       " 'scratch.\\U0001f96aYou': 1,\n",
       " 'counting': 4,\n",
       " '\\U0001f959.': 2,\n",
       " 'edge.': 2,\n",
       " 'yours': 2,\n",
       " 'desired': 1,\n",
       " 'it': 12,\n",
       " 'favourite': 5,\n",
       " 'satiate': 2,\n",
       " 'dahi': 1,\n",
       " 'bagels,': 2,\n",
       " '#foodphotography': 7,\n",
       " 'cuisine...#chickenrecipes': 1,\n",
       " 'without': 1,\n",
       " 'Jerry': 1,\n",
       " 'guesses': 1,\n",
       " 'ISBT': 1,\n",
       " 'Maple': 2,\n",
       " 'making': 3,\n",
       " 'fingers': 2,\n",
       " 'peaches': 2,\n",
       " 'These': 2,\n",
       " 'ordered': 1,\n",
       " 'simple': 1,\n",
       " 'heat': 2,\n",
       " 'a': 76,\n",
       " '4': 3,\n",
       " 'We': 3,\n",
       " 'now!': 4,\n",
       " 'coating': 1,\n",
       " 'fruit': 3,\n",
       " 'just': 6,\n",
       " 'looks': 1,\n",
       " 'drinks': 4,\n",
       " 'frost': 2,\n",
       " 'Our': 1,\n",
       " 'picks': 2,\n",
       " 'tends': 2,\n",
       " '\\U0001f96f\\U0001f9c4\\U0001f9532.': 2,\n",
       " 'FlossUS': 2,\n",
       " 'had': 3,\n",
       " '☕️🍫Standing': 2,\n",
       " 'mouth!': 2,\n",
       " 'said': 1,\n",
       " 'choices': 2,\n",
       " 'literally': 1,\n",
       " 'Bachat': 2,\n",
       " 'cheese': 3,\n",
       " 'WineGiven': 2,\n",
       " 'or': 10,\n",
       " 'Swipe': 2,\n",
       " 'fun': 2,\n",
       " 'PSD': 2,\n",
       " 'stuffed': 3,\n",
       " 'other,': 3,\n",
       " 'dips,': 2,\n",
       " 'delectable': 2,\n",
       " 'sangria.': 4,\n",
       " '#instafood': 9,\n",
       " 'Imagine': 2,\n",
       " 'year.”I': 1,\n",
       " 'ghughni..#saturdayspecial': 1,\n",
       " 'savings': 1,\n",
       " '#ghughni\\U0001f958😋👌': 1,\n",
       " 'today': 1,\n",
       " '#cucumberraita\\U0001f952': 1,\n",
       " 'Chaat.#Foodtalkindia': 1,\n",
       " 'outlet': 2,\n",
       " 'Ultimate': 2,\n",
       " 'Beer': 2,\n",
       " 'must-try.': 2,\n",
       " 'chewy': 2,\n",
       " 'burrito': 2,\n",
       " 'flavourful': 2,\n",
       " 'early': 1,\n",
       " 'corn': 2,\n",
       " 'multiples,': 2,\n",
       " '#photothatspeaks': 1,\n",
       " 'tasted': 1,\n",
       " '(of': 1,\n",
       " 'orders': 2,\n",
       " 'usually': 2,\n",
       " 'finally': 1,\n",
       " 'Chili': 4,\n",
       " 'delivering': 1,\n",
       " 'punjabi': 2,\n",
       " 'sweet': 4,\n",
       " 'at': 21,\n",
       " '👉The': 1,\n",
       " 'pantry': 4,\n",
       " 'Rosé': 2,\n",
       " 'table': 2,\n",
       " 'Tag': 1,\n",
       " 'until': 3,\n",
       " 'list': 1,\n",
       " '#kebabtime...Follow': 1,\n",
       " 'small': 2,\n",
       " 'momos': 2,\n",
       " 'Having': 2,\n",
       " '#foodgasm': 10,\n",
       " 'full': 2,\n",
       " '😑😑😶🙄🙄\\U0001f97a\\U0001f97a\\U0001f97a': 1,\n",
       " 'ChipsPreparations:Step': 2,\n",
       " 'CONTACT': 2,\n",
       " 'bhel': 1,\n",
       " '7371804077,': 2,\n",
       " '#burgerlove': 2,\n",
       " 'safely': 1,\n",
       " '#Throwback': 1,\n",
       " '#easytocook': 8,\n",
       " 'aloud,': 2,\n",
       " 'chocolate': 7,\n",
       " 'fizzy': 2,\n",
       " 'credits:': 2,\n",
       " 'Snapchat': 8,\n",
       " 'eating': 2,\n",
       " 'MOMO': 1,\n",
       " 'Milk-': 2,\n",
       " 'having': 1,\n",
       " 'nutella,': 2,\n",
       " 'The': 11,\n",
       " 'roasted': 2,\n",
       " '#burger': 2,\n",
       " 'tasting': 2,\n",
       " 'Raksha': 3,\n",
       " 'write': 2,\n",
       " 'buzz.': 2,\n",
       " 'signature': 4,\n",
       " 'excited.': 1,\n",
       " 'Club': 2,\n",
       " 'Grand': 1,\n",
       " 'lighter': 2,\n",
       " 'microwaving': 2,\n",
       " 'Siblings': 2,\n",
       " 'trying': 1,\n",
       " '12PM': 2,\n",
       " 'will': 6,\n",
       " '#ITrustPizzaHut': 1,\n",
       " 'brother': 1,\n",
       " 'cover': 2,\n",
       " 'gorge': 1,\n",
       " 'inspiration!': 2,\n",
       " 'they': 2,\n",
       " 'raining': 1,\n",
       " '#foodlover': 1,\n",
       " '#fotografia': 1,\n",
       " 'A': 3,\n",
       " 'up.Step': 2,\n",
       " 'thick': 4,\n",
       " '#quickrecipe': 6,\n",
       " 'There': 2,\n",
       " 'kitchen.': 2,\n",
       " 'booster.#oranges': 1,\n",
       " 'delivery': 2,\n",
       " 'days': 1,\n",
       " 'corn,': 1,\n",
       " 'Who’s': 2,\n",
       " 'How': 2,\n",
       " 'Will': 1,\n",
       " 'well-stocked': 2,\n",
       " 'Honey': 4,\n",
       " '#platter': 1,\n",
       " 'starter': 3,\n",
       " 'was': 5,\n",
       " 'PappaRoti': 2,\n",
       " 'Kebabs,': 1,\n",
       " '#dessert': 1,\n",
       " 'White': 3,\n",
       " 'tomatoes,': 1,\n",
       " '😍😍': 2,\n",
       " 'you,': 2,\n",
       " 'easy': 3,\n",
       " 'Most': 2,\n",
       " 'could': 2,\n",
       " 'What': 11,\n",
       " 'number': 4,\n",
       " 'ones': 2,\n",
       " 'against': 2,\n",
       " 'knock': 1,\n",
       " 'lollipop': 2,\n",
       " 'burger': 1,\n",
       " 'marinated': 2,\n",
       " ',': 2,\n",
       " 'members': 1,\n",
       " 'on-point': 2,\n",
       " '7700949565/': 2,\n",
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       " 'too': 2,\n",
       " 'it’s': 3,\n",
       " 'immune': 1,\n",
       " '#indianhomechef': 7,\n",
       " '\\U0001f9c1🍰🍪🍞For': 2,\n",
       " '#foodiesince96': 10,\n",
       " 'back': 1,\n",
       " 'is': 19,\n",
       " 'are': 23,\n",
       " 'World': 2,\n",
       " 'cup,': 2,\n",
       " 'green': 1,\n",
       " 'Red': 6,\n",
       " 'look': 2,\n",
       " 'not': 4,\n",
       " 'shoot': 1,\n",
       " ...}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "d = {}\n",
    "top5=['food_from_devpreet_kitchen', 'food_lunatic', 'food', 'foodiesince96','foodtalkindia']\n",
    "\n",
    "for k in top5:\n",
    "    \n",
    "    ###searching the page \n",
    "    searchwriter = driver.find_element_by_xpath('//input[contains(@class, \"x3qfX\")]')\n",
    "    searchwriter.send_keys(k)\n",
    "\n",
    "    time.sleep(2)\n",
    "\n",
    "    button = driver.find_element_by_class_name('Ap253')\n",
    "    button.click()\n",
    "    \n",
    "    time.sleep(4)\n",
    "\n",
    "    post = driver.find_elements_by_class_name('_9AhH0')\n",
    "\n",
    "    for i in range(10):\n",
    "        \n",
    "        button1 = post[i]\n",
    "        driver.execute_script(\"arguments[0].click();\", button1)\n",
    "    \n",
    "\n",
    "        time.sleep(3)\n",
    "\n",
    "        post_content = driver.find_element_by_xpath('//div[starts-with(@class, \"C4VMK\")]/span')\n",
    "        html = post_content.get_attribute('outerHTML')\n",
    "\n",
    "        time.sleep(2)\n",
    "\n",
    "        driver.back()\n",
    "\n",
    "        data = BeautifulSoup(html, 'html.parser')\n",
    "\n",
    "        str1 = data.get_text()\n",
    "        list1 = str1.split()\n",
    "\n",
    "        for i in list1:\n",
    "            if i not in d:\n",
    "                d[i] = 1\n",
    "            else:\n",
    "                d[i] += 1\n",
    "    \n",
    "    driver.get('https://www.instagram.com/')\n",
    "    time.sleep(3)\n",
    "        \n",
    "d"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2.3 Create a csv file with two columns : the word and its frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "###Part-3\n",
    "###Create a csv file with two columns : the word and its frequency\n",
    "##################################################################\n",
    "list1 = []\n",
    "\n",
    "for key, value in d.items():\n",
    "    list1.append([key,value])\n",
    "list1\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(list1,columns = ['Word','Frequency'])\n",
    "\n",
    "df.to_csv('wordfrequency.csv', index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2.4 Now, find the hashtags that were most popular among these bloggers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Word</th>\n",
       "      <th>Frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>#foodstagram</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>#foodblogger</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>#feedfeed</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>#foodie</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>#delhi_igers</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>#foodgasm</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>#recipe</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>#foodiesince96</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>#instafood</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>#delhigram</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>#hungry</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>#ilovefood</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>#eeeeeats</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>#foodoftheday</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>#delicious</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>#mumbaifoodie</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>#delhifoodie</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>#mumbaifood</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>#buzzfeast</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>#nomnom</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>#foodporn</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>#easytocook</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>#indianhomechef</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>#wow</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>#tasteofindia</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>#homechef</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>#worldfood</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>#photothatspeaksamillionwords</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>#homecooking</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>#foodphotography</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>#platter</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>#dessert</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>#TrustInEveryBite</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>#momo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756</th>\n",
       "      <td>#potatoes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>#bhagalpur</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>749</th>\n",
       "      <td>#dhokla</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>#chicken</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>#chinesefood..Follow</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>#bananachocolate</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>😶😶😶🙄🙄🙄🙄😭😭😭😭.#Foodtalkindia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>704</th>\n",
       "      <td>#chocolate</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>#appetizers</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>#HutHeroes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>#sale</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>month😋#comfortfood</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>#MomApproved</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>😍😍.#Foodtalkindia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>awesome...#rasmalai</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>#vitaminc</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>#fruitphotographyobsession</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>#TrustInEveryBite⭐️.#Rakshabandhan</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>#seekhkebab</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>#comfortfood</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>#chcoolatedipped</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>#galouti</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>sprinkled..#saturday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>#cakesofinstagram</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>#PizzaHutIndia</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1187</th>\n",
       "      <td>up!..#unlocksastedaamongobd#grofers</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>156 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Word  Frequency\n",
       "964                          #foodstagram         20\n",
       "789                          #foodblogger         18\n",
       "826                             #feedfeed         13\n",
       "1063                              #foodie         10\n",
       "225                          #delhi_igers         10\n",
       "378                             #foodgasm         10\n",
       "980                               #recipe         10\n",
       "989                        #foodiesince96         10\n",
       "337                            #instafood          9\n",
       "227                            #delhigram          9\n",
       "746                               #hungry          9\n",
       "718                            #ilovefood          9\n",
       "1117                            #eeeeeats          9\n",
       "899                         #foodoftheday          9\n",
       "509                            #delicious          9\n",
       "170                         #mumbaifoodie          9\n",
       "825                          #delhifoodie          9\n",
       "554                           #mumbaifood          9\n",
       "557                            #buzzfeast          9\n",
       "950                               #nomnom          9\n",
       "92                              #foodporn          8\n",
       "388                           #easytocook          8\n",
       "987                       #indianhomechef          7\n",
       "542                                  #wow          7\n",
       "560                         #tasteofindia          7\n",
       "601                             #homechef          7\n",
       "724                            #worldfood          7\n",
       "726         #photothatspeaksamillionwords          7\n",
       "649                          #homecooking          7\n",
       "290                      #foodphotography          7\n",
       "...                                   ...        ...\n",
       "440                              #platter          1\n",
       "445                              #dessert          1\n",
       "494                     #TrustInEveryBite          1\n",
       "500                                 #momo          1\n",
       "756                             #potatoes          1\n",
       "751                            #bhagalpur          1\n",
       "749                               #dhokla          1\n",
       "740                              #chicken          1\n",
       "736                  #chinesefood..Follow          1\n",
       "731                      #bananachocolate          1\n",
       "717            😶😶😶🙄🙄🙄🙄😭😭😭😭.#Foodtalkindia          1\n",
       "704                            #chocolate          1\n",
       "34                            #appetizers          1\n",
       "687                            #HutHeroes          1\n",
       "684                                 #sale          1\n",
       "671                    month😋#comfortfood          1\n",
       "642                          #MomApproved          1\n",
       "637                     😍😍.#Foodtalkindia          1\n",
       "632                   awesome...#rasmalai          1\n",
       "625                             #vitaminc          1\n",
       "624            #fruitphotographyobsession          1\n",
       "587    #TrustInEveryBite⭐️.#Rakshabandhan          1\n",
       "571                           #seekhkebab          1\n",
       "540                          #comfortfood          1\n",
       "532                      #chcoolatedipped          1\n",
       "526                              #galouti          1\n",
       "523                  sprinkled..#saturday          1\n",
       "522                     #cakesofinstagram          1\n",
       "501                        #PizzaHutIndia          1\n",
       "1187  up!..#unlocksastedaamongobd#grofers          1\n",
       "\n",
       "[156 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###Part-4\n",
    "####Now, find the hashtags that were most popular among these bloggers\n",
    "########################################################################\n",
    "df_copy = df.copy()\n",
    "\n",
    "df_hashtag = df_copy[df_copy['Word'].str.contains(\"#\")]\n",
    "\n",
    "df_pie = df_hashtag.sort_values('Frequency', ascending=False)\n",
    "\n",
    "df_pie"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2.5 Plot a Pie Chart of the top 5 hashtags obtained and the number of times they were used by these bloggers in the scraped posts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['#foodstagram', 20],\n",
       "       ['#foodblogger', 18],\n",
       "       ['#feedfeed', 13],\n",
       "       ['#foodie', 10],\n",
       "       ['#delhi_igers', 10]], dtype=object)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd2=np.array(df_pie)\n",
    "pd2[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Xcy8/O+cyDfoEGGNKiiUvxpQhScInHWsAncPPyPVkV39xq0N6VXzyUYXmaWiVWT5XWXoR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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9c90c30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=['#foodstagram','#foodblogger','#feedfeed','#foodie','#delhi_igers']\n",
    "y=[20,18,13,10,10]\n",
    "#plt.figure(figsize=(10,10))\n",
    "plt.pie(y, labels=x, autopct='%.2f%%')\n",
    "plt.title('Pie Chart of the top 5 hashtags ')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q3. You need to also calculate average followers : likes ratio for the obtained handles. Followers : Likes ratio is calculated as follows:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q3.1 Find out the likes of the top 10 posts of the 5 handles obtained earlier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "food_from_devpreet_kitchen 33\n",
      "food_lunatic 1864\n",
      "food 1015\n",
      "foodiesince96 2692\n",
      "foodtalkindia 1015\n"
     ]
    }
   ],
   "source": [
    "from selenium.common.exceptions import NoSuchElementException ###instagram photos and videos work differently with likes therefore the exception\n",
    "average_likes_list = []\n",
    "top5=['food_from_devpreet_kitchen', 'food_lunatic', 'food', 'foodiesince96','foodtalkindia']\n",
    "for k in top5:\n",
    "    ##searching for page\n",
    "    searchwriter = driver.find_element_by_xpath('//input[contains(@class, \"x3qfX\")]')\n",
    "    searchwriter.send_keys(k)\n",
    "\n",
    "    time.sleep(10)\n",
    "    \n",
    "    ##clicking button of the first entry that appears \n",
    "    button = driver.find_element_by_class_name('z556c')\n",
    "    button.click()\n",
    "\n",
    "    time.sleep(10)\n",
    "\n",
    "    post = driver.find_elements_by_class_name('_9AhH0')\n",
    "    \n",
    "    average_likes = 0 ###this counter will contain average likes \n",
    "    \n",
    "    for i in range(10):\n",
    "        time.sleep(1)\n",
    "\n",
    "        button = post[i]\n",
    "        driver.execute_script(\"arguments[0].click();\", button)\n",
    "        \n",
    "        time.sleep(10)\n",
    "        \n",
    "        ###if the post is a video then try would work, otherwise except would \n",
    "        try:\n",
    "            views_button = driver.find_element_by_class_name('vcOH2')\n",
    "            views_button.click()\n",
    "            time.sleep(5)\n",
    "            likes = driver.find_element_by_xpath('//div[@class = \"vJRqr\"]/span')\n",
    "            like_count = likes.get_attribute('innerHTML')\n",
    "            like_count = like_count.replace(',', '')\n",
    "            like_count = int(like_count)\n",
    "            average_likes += like_count\n",
    "        except NoSuchElementException:\n",
    "            likes = driver.find_element_by_xpath('//button[contains(@class, \"_8A5w5\")]/span')\n",
    "            like_count = likes.get_attribute('innerHTML')\n",
    "            like_count = like_count.replace(',', '')\n",
    "            like_count = int(like_count)\n",
    "    \n",
    "            \n",
    "        driver.back()\n",
    "        time.sleep(3)\n",
    "    print(k, like_count)\n",
    "    driver.get('https://www.instagram.com/')\n",
    "    time.sleep(3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Q3.2 Calculate the average likes for a handle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "food_from_devpreet_kitchen 38\n",
      "food_lunatic 2067\n",
      "food 3384\n",
      "foodiesince96 5479\n",
      "foodtalkindia 3384\n"
     ]
    }
   ],
   "source": [
    "from selenium.common.exceptions import NoSuchElementException ###instagram photos and videos work differently with likes therefore the exception\n",
    "average_likes_list = []\n",
    "top5=['food_from_devpreet_kitchen','food_lunatic','food','foodiesince96','foodtalkindia']\n",
    "for k in top5:\n",
    "    ##searching for page\n",
    "    searchwriter = driver.find_element_by_xpath('//input[contains(@class, \"x3qfX\")]')\n",
    "    searchwriter.send_keys(k)\n",
    "\n",
    "    time.sleep(10)\n",
    "    \n",
    "    ##clicking button of the first entry that appears \n",
    "    button = driver.find_element_by_class_name('z556c')\n",
    "    button.click()\n",
    "\n",
    "    time.sleep(10)\n",
    "\n",
    "    post = driver.find_elements_by_class_name('_9AhH0')\n",
    "    \n",
    "    average_likes = 0 ###this counter will contain average likes \n",
    "    \n",
    "    for i in range(10):\n",
    "        time.sleep(1)\n",
    "\n",
    "        button = post[i]\n",
    "        driver.execute_script(\"arguments[0].click();\", button)\n",
    "        \n",
    "        time.sleep(10)\n",
    "        \n",
    "        ###if the post is a video then try would work, otherwise except would \n",
    "        try:\n",
    "            views_button = driver.find_element_by_class_name('vcOH2')\n",
    "            views_button.click()\n",
    "            time.sleep(5)\n",
    "            likes = driver.find_element_by_xpath('//div[@class = \"vJRqr\"]/span')\n",
    "            like_count = likes.get_attribute('innerHTML')\n",
    "            like_count = like_count.replace(',', '')\n",
    "            like_count = int(like_count)\n",
    "            average_likes += like_count\n",
    "        except NoSuchElementException:\n",
    "            likes = driver.find_element_by_xpath('//button[contains(@class, \"_8A5w5\")]/span')\n",
    "            like_count = likes.get_attribute('innerHTML')\n",
    "            like_count = like_count.replace(',', '')\n",
    "            like_count = int(like_count)\n",
    "            average_likes += like_count\n",
    "            \n",
    "        driver.back()\n",
    "        time.sleep(3)\n",
    "    \n",
    "    average_likes = average_likes//10\n",
    "    average_likes_list.append(average_likes) ##appending average likes for a page into the list \n",
    "            \n",
    "    driver.get('https://www.instagram.com/')\n",
    "    time.sleep(3)\n",
    "\n",
    "#####Average likes for a handle\n",
    "for i in range(5):\n",
    "    print(top5[i],average_likes_list[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Q3.3 Divide the average likes obtained from the number of followers of the handle to get the average followers:like ratio of each handle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([557000, 298000, 298000, 298000, 298000])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "followers[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[38, 2067, 3384, 5479, 3384]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_likes_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([164.59810875,  88.06146572,  88.06146572,  88.06146572,\n",
       "        88.06146572])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#for getting average followers to likes ratio\n",
    "ratio=followers[0:5]/average_likes\n",
    "ratio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Q3.4 Create a bar graph to depict the above obtained information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['food_from_devpreet_kitchen', 'food_lunatic', 'food',\n",
       "       'foodiesince96', 'foodtalkindia'], dtype='<U26')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5=np.array(top5)\n",
    "top5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5SM85SM85qJ2iFD8fAmZExIvVByLiJeAS4MM1jmFp/r52H8dGVvVZCqzVz3lG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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x87bf490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "#plotting the graph between average followers to the likes ratio and users.\n",
    "top=['foodiekaurexpeditions','food_lunatic','food','foodiesince96','foodtalkindia']\n",
    "arr=range(len(top5))\n",
    "plt.xticks(arr,top5)\n",
    "plt.xticks(rotation=45)\n",
    "plt.bar(arr, ratio, color='orange')\n",
    "plt.xticks(rotation=45, size=12)\n",
    "plt.xlabel('Users---->', size=12)\n",
    "plt.ylabel('Average followers to likes ratio---->', size=12)\n",
    "plt.yticks(size=12)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}