scrapping_vs_api.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Webpage Scrapping</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import requests # library to handle requests\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "source = requests.get(\"https://www.worldatlas.com/articles/biggest-cities-in-saudi-arabia.html\").text\n",
    "soup = BeautifulSoup(source, 'lxml')\n",
    "#print(soup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "Saudi_table = soup.table\n",
    "#print(Saudi_table.prettify())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>City</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Riyadh</td>\n",
       "      <td>6506700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jeddah</td>\n",
       "      <td>3976400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Mecca</td>\n",
       "      <td>1919900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Medina</td>\n",
       "      <td>1271800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Al-Ahsa</td>\n",
       "      <td>1136900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Ta'if</td>\n",
       "      <td>1109800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Dammam</td>\n",
       "      <td>975800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Buraidah</td>\n",
       "      <td>658600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Khobar</td>\n",
       "      <td>626200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Tabuk</td>\n",
       "      <td>609000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank      City  Population\n",
       "0     1    Riyadh     6506700\n",
       "1     2    Jeddah     3976400\n",
       "2     3     Mecca     1919900\n",
       "3     4    Medina     1271800\n",
       "4     5   Al-Ahsa     1136900\n",
       "5     6     Ta'if     1109800\n",
       "6     7    Dammam      975800\n",
       "7     8  Buraidah      658600\n",
       "8     9    Khobar      626200\n",
       "9    10     Tabuk      609000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "Saudi_Cities = pd.read_html(str(Saudi_table), header=0)[0]\n",
    "Saudi_Cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Riyadh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jeddah</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mecca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Medina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Al-Ahsa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      City\n",
       "0   Riyadh\n",
       "1   Jeddah\n",
       "2    Mecca\n",
       "3   Medina\n",
       "4  Al-Ahsa"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Saudi_Cities = Saudi_Cities.drop(columns=['Rank','Population'])\n",
    "Saudi_Cities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Riyadh\n",
      "Jeddah\n",
      "Mecca\n",
      "Medina\n",
      "Al-Ahsa\n",
      "Ta'if\n",
      "Dammam\n",
      "Buraidah\n",
      "Khobar\n",
      "Tabuk\n"
     ]
    }
   ],
   "source": [
    "for i, row in Saudi_Cities.iterrows():\n",
    "    print(row['City'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Riyadh 24.633; 46.717\n",
      "Jeddah 21.54333; 39.17278\n",
      "Mecca 21.417; 39.817\n",
      "Medina 24.467; 39.600\n",
      "location was not detected for Al-Ahsa\n",
      "Ta'if 21.433; 40.350\n",
      "Dammam 26.433; 50.100\n",
      "Buraidah 26.333; 43.967\n",
      "Khobar 26.283; 50.200\n",
      "location was not detected for Tabuk\n"
     ]
    }
   ],
   "source": [
    "col = ['CityName', 'latitude', 'longitude']\n",
    "Saudi_loc = pd.DataFrame(columns = col)\n",
    "for i, row in Saudi_Cities.iterrows():\n",
    "    city_name = row['City']\n",
    "    source = requests.get(\"https://en.wikipedia.org/wiki/\"+ city_name).text\n",
    "    soup = BeautifulSoup(source, 'lxml')\n",
    "    try:\n",
    "        loc = soup.find('span', class_=\"geo\").text\n",
    "        print(city_name , loc)\n",
    "        Saudi_loc = Saudi_loc.append({col[0]:city_name, \n",
    "                                      col[1]:float(loc.split('; ')[0]), \n",
    "                                      col[2]:float(loc.split('; ')[1])}, ignore_index=True)\n",
    "    except:\n",
    "        print(\"location was not detected for\", city_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CityName</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Riyadh</td>\n",
       "      <td>24.63300</td>\n",
       "      <td>46.71700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jeddah</td>\n",
       "      <td>21.54333</td>\n",
       "      <td>39.17278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mecca</td>\n",
       "      <td>21.41700</td>\n",
       "      <td>39.81700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Medina</td>\n",
       "      <td>24.46700</td>\n",
       "      <td>39.60000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ta'if</td>\n",
       "      <td>21.43300</td>\n",
       "      <td>40.35000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dammam</td>\n",
       "      <td>26.43300</td>\n",
       "      <td>50.10000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Buraidah</td>\n",
       "      <td>26.33300</td>\n",
       "      <td>43.96700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Khobar</td>\n",
       "      <td>26.28300</td>\n",
       "      <td>50.20000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CityName  latitude  longitude\n",
       "0    Riyadh  24.63300   46.71700\n",
       "1    Jeddah  21.54333   39.17278\n",
       "2     Mecca  21.41700   39.81700\n",
       "3    Medina  24.46700   39.60000\n",
       "4     Ta'if  21.43300   40.35000\n",
       "5    Dammam  26.43300   50.10000\n",
       "6  Buraidah  26.33300   43.96700\n",
       "7    Khobar  26.28300   50.20000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Saudi_loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Saudi Arabia are 25.6242618, 42.3528328.\n"
     ]
    }
   ],
   "source": [
    "#!conda install -c conda-forge geopy --yes \n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes \n",
    "import folium # map rendering library\n",
    "\n",
    "address = 'Saudi Arabia'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"Saudi_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Saudi Arabia are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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            var popup_2c391e814d2a45f8aa4800a52c7bebd6 = L.popup({maxWidth: '300'});

            
                var html_3315de106d5a4654a9759b8dbf87b748 = $('<div id="html_3315de106d5a4654a9759b8dbf87b748" style="width: 100.0%; height: 100.0%;">Buraidah</div>')[0];
                popup_2c391e814d2a45f8aa4800a52c7bebd6.setContent(html_3315de106d5a4654a9759b8dbf87b748);
            

            marker_e185b24e593b46888ec16a9243f6fdd7.bindPopup(popup_2c391e814d2a45f8aa4800a52c7bebd6);

            
        
    

            var marker_38b5c58a1d3e47f884b6aad579c05bb8 = L.marker(
                [26.283,50.2],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_053944b45e9043e9a217bf575ec249ea);
            
    
            var popup_8f0a998978d040f6b43595e87bdea109 = L.popup({maxWidth: '300'});

            
                var html_375c75ddf8754dd5884cdaee383cf542 = $('<div id="html_375c75ddf8754dd5884cdaee383cf542" style="width: 100.0%; height: 100.0%;">Khobar</div>')[0];
                popup_8f0a998978d040f6b43595e87bdea109.setContent(html_375c75ddf8754dd5884cdaee383cf542);
            

            marker_38b5c58a1d3e47f884b6aad579c05bb8.bindPopup(popup_8f0a998978d040f6b43595e87bdea109);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f31931bbf28>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "map_Saudi = folium.Map(location=[latitude, longitude], zoom_start=6)\n",
    "\n",
    "for lat, lng, city in zip(Saudi_loc['latitude'], Saudi_loc['longitude'], Saudi_loc['CityName']):\n",
    "    label = folium.Popup(city, parse_html=True)\n",
    "    folium.Marker([lat, lng], popup = label).add_to(map_Saudi)\n",
    "map_Saudi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Application programming interface (API)</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CityName</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Riyadh</td>\n",
       "      <td>24.63300</td>\n",
       "      <td>46.71700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jeddah</td>\n",
       "      <td>21.54333</td>\n",
       "      <td>39.17278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mecca</td>\n",
       "      <td>21.41700</td>\n",
       "      <td>39.81700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Medina</td>\n",
       "      <td>24.46700</td>\n",
       "      <td>39.60000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ta'if</td>\n",
       "      <td>21.43300</td>\n",
       "      <td>40.35000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dammam</td>\n",
       "      <td>26.43300</td>\n",
       "      <td>50.10000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Buraidah</td>\n",
       "      <td>26.33300</td>\n",
       "      <td>43.96700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Khobar</td>\n",
       "      <td>26.28300</td>\n",
       "      <td>50.20000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CityName  latitude  longitude\n",
       "0    Riyadh  24.63300   46.71700\n",
       "1    Jeddah  21.54333   39.17278\n",
       "2     Mecca  21.41700   39.81700\n",
       "3    Medina  24.46700   39.60000\n",
       "4     Ta'if  21.43300   40.35000\n",
       "5    Dammam  26.43300   50.10000\n",
       "6  Buraidah  26.33300   43.96700\n",
       "7    Khobar  26.28300   50.20000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Saudi_loc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "يجب تغيير القيمة في متغير \n",
    "</br>CityID</br>\n",
    "حسب المدينة المراد تحليل مواقعها\n",
    "القيمة 0 تشير إلى مدينة الرياض والقيمة 1 تشير إلى مدينة جدة وهكذا"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'ZLNCVVDMUTSIAICKT103POACTFZMR4COUZMCMB4UUN5MYA3X' # your Foursquare ID\n",
    "CLIENT_SECRET = 'SCRJ41NA15ZHMBPSEMB115J3SBV33QTBTMUQ25CZJOBWEBKH' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "CityID = 0\n",
    "cityLatitude = Saudi_loc.loc[CityID, 'latitude']\n",
    "cityLongitude = Saudi_loc.loc[CityID, 'longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=ZLNCVVDMUTSIAICKT103POACTFZMR4COUZMCMB4UUN5MYA3X&client_secret=SCRJ41NA15ZHMBPSEMB115J3SBV33QTBTMUQ25CZJOBWEBKH&v=20180605&ll=24.633,46.717&radius=80000&limit=100'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "\n",
    "radius = 80000 # define radius\n",
    "\n",
    "\n",
    " # create URL\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    cityLatitude, \n",
    "    cityLongitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "results = requests.get(url).json()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Al Zal Bazaar (سوق الزل التراثي)</td>\n",
       "      <td>Antique Shop</td>\n",
       "      <td>24.629318</td>\n",
       "      <td>46.712572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>National Museum (المتحف الوطني)</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>24.646388</td>\n",
       "      <td>46.710302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>King Abdulaziz Foundation (دارة الملك عبدالعزيز)</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>24.647263</td>\n",
       "      <td>46.708253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Saravana Bhavan</td>\n",
       "      <td>South Indian Restaurant</td>\n",
       "      <td>24.663358</td>\n",
       "      <td>46.704458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AlNaqaa (حمص النقاء)</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>24.667307</td>\n",
       "      <td>46.733412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               name               categories  \\\n",
       "0                  Al Zal Bazaar (سوق الزل التراثي)             Antique Shop   \n",
       "1                   National Museum (المتحف الوطني)           History Museum   \n",
       "2  King Abdulaziz Foundation (دارة الملك عبدالعزيز)           History Museum   \n",
       "3                                   Saravana Bhavan  South Indian Restaurant   \n",
       "4                              AlNaqaa (حمص النقاء)           Breakfast Spot   \n",
       "\n",
       "         lat        lng  \n",
       "0  24.629318  46.712572  \n",
       "1  24.646388  46.710302  \n",
       "2  24.647263  46.708253  \n",
       "3  24.663358  46.704458  \n",
       "4  24.667307  46.733412  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
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}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_ae8f508a8d954ca1abf21aa774c02497 = L.popup({maxWidth: '300'});

            
                var html_bbd509beb75c4c6f820c4fd25d85cd18 = $('<div id="html_bbd509beb75c4c6f820c4fd25d85cd18" style="width: 100.0%; height: 100.0%;">Gift Shop</div>')[0];
                popup_ae8f508a8d954ca1abf21aa774c02497.setContent(html_bbd509beb75c4c6f820c4fd25d85cd18);
            

            circle_marker_76b19cb522f24fc3b7087bd1972fa143.bindPopup(popup_ae8f508a8d954ca1abf21aa774c02497);

            
        
    
            var circle_marker_a8f2b9e9dba849d493f88079fadbf196 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
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  "fillColor": "#008000",
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  "fillRule": "evenodd",
  "lineCap": "round",
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}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_7075fd608d4045cba447cd62e195c71d = L.popup({maxWidth: '300'});

            
                var html_e337963a9f2a46628874786511472aeb = $('<div id="html_e337963a9f2a46628874786511472aeb" style="width: 100.0%; height: 100.0%;">Supermarket</div>')[0];
                popup_7075fd608d4045cba447cd62e195c71d.setContent(html_e337963a9f2a46628874786511472aeb);
            

            circle_marker_a8f2b9e9dba849d493f88079fadbf196.bindPopup(popup_7075fd608d4045cba447cd62e195c71d);

            
        
    
            var circle_marker_b29a2840bb004193aa76d33affa2f168 = L.circleMarker(
                [24.764577290201313,46.692811254273934],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
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  "lineCap": "round",
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  "opacity": 1.0,
  "radius": 6,
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}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_0bd0ef773ad346ccbb3df76a48965f4c = L.popup({maxWidth: '300'});

            
                var html_3caeead1054747588bc31639fbe858ab = $('<div id="html_3caeead1054747588bc31639fbe858ab" style="width: 100.0%; height: 100.0%;">Ice Cream Shop</div>')[0];
                popup_0bd0ef773ad346ccbb3df76a48965f4c.setContent(html_3caeead1054747588bc31639fbe858ab);
            

            circle_marker_b29a2840bb004193aa76d33affa2f168.bindPopup(popup_0bd0ef773ad346ccbb3df76a48965f4c);

            
        
    
            var circle_marker_208dcf76e5c649af895dc753a402254f = L.circleMarker(
                [24.735289624446292,46.647218496627104],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
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  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 6,
  "stroke": true,
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}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_5c6fa31f95434440a8526dc5c02116e8 = L.popup({maxWidth: '300'});

            
                var html_54eb8ef2111c4e31b6a43742f5ac089d = $('<div id="html_54eb8ef2111c4e31b6a43742f5ac089d" style="width: 100.0%; height: 100.0%;">Pastry Shop</div>')[0];
                popup_5c6fa31f95434440a8526dc5c02116e8.setContent(html_54eb8ef2111c4e31b6a43742f5ac089d);
            

            circle_marker_208dcf76e5c649af895dc753a402254f.bindPopup(popup_5c6fa31f95434440a8526dc5c02116e8);

            
        
    
            var circle_marker_169754698145407691ead59d46c0b6ff = L.circleMarker(
                [24.7532760680209,46.7293296307276],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
  "fillOpacity": 0.4,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 6,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_6121fe46927447ba8e6ff8c49173f06f = L.popup({maxWidth: '300'});

            
                var html_7e6173f9f64249ce9e7858855fdd333b = $('<div id="html_7e6173f9f64249ce9e7858855fdd333b" style="width: 100.0%; height: 100.0%;">Spa</div>')[0];
                popup_6121fe46927447ba8e6ff8c49173f06f.setContent(html_7e6173f9f64249ce9e7858855fdd333b);
            

            circle_marker_169754698145407691ead59d46c0b6ff.bindPopup(popup_6121fe46927447ba8e6ff8c49173f06f);

            
        
    
            var circle_marker_3eba6a70c9af4675af04b7f1df5fce85 = L.circleMarker(
                [24.743003697849833,46.656090285733946],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
  "fillOpacity": 0.4,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 6,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_7f3251b386654eb7b71ffa9389e55279 = L.popup({maxWidth: '300'});

            
                var html_c490fec398204426bcd228a22f9176ea = $('<div id="html_c490fec398204426bcd228a22f9176ea" style="width: 100.0%; height: 100.0%;">Coffee Shop</div>')[0];
                popup_7f3251b386654eb7b71ffa9389e55279.setContent(html_c490fec398204426bcd228a22f9176ea);
            

            circle_marker_3eba6a70c9af4675af04b7f1df5fce85.bindPopup(popup_7f3251b386654eb7b71ffa9389e55279);

            
        
    
            var circle_marker_c63af364373e4ad0abba66d6fb3d21f5 = L.circleMarker(
                [24.76209867575031,46.722948391649815],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
  "fillOpacity": 0.4,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 6,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_0526893d1e5949008898facb59da6446 = L.popup({maxWidth: '300'});

            
                var html_fe5e482f9b314894bdae0cc1bbd21fd0 = $('<div id="html_fe5e482f9b314894bdae0cc1bbd21fd0" style="width: 100.0%; height: 100.0%;">Fried Chicken Joint</div>')[0];
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            circle_marker_c63af364373e4ad0abba66d6fb3d21f5.bindPopup(popup_0526893d1e5949008898facb59da6446);

            
        
    
            var circle_marker_a1dcd6737af44beea73baf5e84336020 = L.circleMarker(
                [24.738906180224937,46.635383651045856],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#008000",
  "fillOpacity": 0.4,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 6,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_09e980bc21ea4a1da6826317d76a9c1d);
            
    
            var popup_da766f7fd9b24a2aab5916b7356b4e76 = L.popup({maxWidth: '300'});

            
                var html_40f507d41eb843888a96c0af79277a37 = $('<div id="html_40f507d41eb843888a96c0af79277a37" style="width: 100.0%; height: 100.0%;">Hotel</div>')[0];
                popup_da766f7fd9b24a2aab5916b7356b4e76.setContent(html_40f507d41eb843888a96c0af79277a37);
            

            circle_marker_a1dcd6737af44beea73baf5e84336020.bindPopup(popup_da766f7fd9b24a2aab5916b7356b4e76);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f3193a6c748>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "address = Saudi_loc.loc[CityID, 'CityName']+', Saudi Arabia'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"Saudi_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "\n",
    "map_City = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "for lat, lng, venue in zip(nearby_venues['lat'], nearby_venues['lng'], nearby_venues['categories']):\n",
    "    label = folium.Popup(venue, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "       [lat, lng],\n",
    "       radius=6,\n",
    "       popup=label,\n",
    "       color='green',\n",
    "       fill=True,\n",
    "       fill_color='#008000',\n",
    "       fill_opacity=0.4,\n",
    "       parse_html=False).add_to(map_City)  \n",
    "map_City"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Supermarket</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        categories  count\n",
       "10     Coffee Shop      9\n",
       "49     Supermarket      8\n",
       "13    Dessert Shop      5\n",
       "30   Jewelry Store      4\n",
       "28  Ice Cream Shop      4"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "common_ven = nearby_venues.groupby('categories').size().to_frame(name = 'count'\n",
    "                                                                ).reset_index().sort_values(by=['count'], ascending=False\n",
    "                                                                                           ).head(15)\n",
    "common_ven.plot.bar(x='categories', figsize=(10,4), fontsize=15)\n",
    "common_ven.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}