gazdasag/2019/1_parser.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T00:17:00.686796Z",
     "start_time": "2018-12-16T00:17:00.682793Z"
    }
   },
   "outputs": [],
   "source": [
    "import requests, pandas as pd, numpy as np\n",
    "from requests import session\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T00:10:48.191666Z",
     "start_time": "2018-12-16T00:10:47.036665Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__cfduid dc1e6566f055b30ff537c92b686dc9db61577353250\n",
      "PHPSESSID i1sgviskhsoe31m2vdhp3r1e66\n"
     ]
    }
   ],
   "source": [
    "url='http://www.omnibus.ro/index.php/hu/szekelyfoldi-top-listak/arbevetel/also-haromszek-2015-2018#oldal'\n",
    "r = requests.get(url)\n",
    "\n",
    "for c in r.cookies:\n",
    "    print(c.name, c.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://www.omnibus.ro/index.php/hu/szekelyfoldi-top-listak/arbevetel/also-haromszek-2015-2018#oldal'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T08:49:53.082342Z",
     "start_time": "2018-12-16T08:39:39.697363Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "gyergyoszek\n"
     ]
    }
   ],
   "source": [
    "dfs=[]\n",
    "regions=['also-haromszek','felso-haromszek','csikszek','udvarhelyszek','marosszek','gyergyoszek']\n",
    "for region in regions:\n",
    "    url='http://www.omnibus.ro/index.php/hu/szekelyfoldi-top-listak/alkalmazott/'+\\\n",
    "        region+'-2015-2018#oldal'\n",
    "    with session() as c:\n",
    "        response = c.get(url)\n",
    "        #print(response.headers)\n",
    "        #print(response.text)\n",
    "        df=pd.read_html(response.text)[1]\n",
    "        df.columns=[0]+list(df.loc[0])[:-1]\n",
    "        df=df.loc[2:].set_index(0)\n",
    "        df=df[df.columns[1:-1]]\n",
    "        df=df.loc[list(df.index)[:-1]]\n",
    "        df['region']=region\n",
    "        df['nr']=df.index\n",
    "        \n",
    "    soup = BeautifulSoup(response.content)\n",
    "    links=soup.findAll('table')[3].findAll('a')\n",
    "    coords=[]\n",
    "    kws=[]\n",
    "    cms=[]\n",
    "    for i in range(len(links)):\n",
    "        print(i,)\n",
    "        r=requests.get(links[i]['href'])\n",
    "        g=repr(r.content)\n",
    "        coord_start=g.find('GLatLng')\n",
    "        coord_end=coord_start+g[coord_start:].find(')')\n",
    "        coord=g[coord_start+len('GLatLng')+1:coord_end].split(',')\n",
    "        kw_start=g.find('<meta name=\"keywords')\n",
    "        kw_end=kw_start+g[kw_start:].find('/>')\n",
    "        kw=g[kw_start+len('<meta name=\"keywords\" content=\"'):kw_end].split(',')\n",
    "        kw=[i.strip() for i in kw]\n",
    "        cm_start=g.find('<b>C&iacute;m:</b>')\n",
    "        cm_end=cm_start+g[cm_start:].find('<br>')\n",
    "        cm=g[cm_start+len('<b>C&iacute;m:</b>'):cm_end].strip()\n",
    "        \n",
    "        coords.append(coord)\n",
    "        kws.append(kw)\n",
    "        cms.append(cm)\n",
    "   \n",
    "    df=df[:len(links)]\n",
    "    df['coords']=coords\n",
    "    df['kws']=kws\n",
    "    df['cms']=cms\n",
    "    dfs.append(df)\n",
    "    print(region)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T08:39:39.694362Z",
     "start_time": "2018-12-16T08:29:29.816472Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "dfs2=[]\n",
    "regions=['also-haromszek','felso-haromszek','csikszek','udvarhelyszek','marosszek','gyergyoszek']\n",
    "for region in regions:\n",
    "    url='http://www.omnibus.ro/index.php/hu/szekelyfoldi-top-listak/arbevetel/'+\\\n",
    "        region+'-2015-2018#oldal'\n",
    "    with session() as c:\n",
    "        response = c.get(url)\n",
    "        #print(response.headers)\n",
    "        #print(response.text)\n",
    "        df=pd.read_html(response.text)[1]\n",
    "        df.columns=[0]+list(df.loc[0])[:-1]\n",
    "        df=df.loc[2:].set_index(0)\n",
    "        df=df[df.columns[1:-1]]\n",
    "        df=df.loc[list(df.index)[:-1]]\n",
    "        df['region']=region\n",
    "        df['nr']=df.index\n",
    "        \n",
    "    soup = BeautifulSoup(response.content)\n",
    "    links=soup.findAll('table')[3].findAll('a')\n",
    "    coords=[]\n",
    "    kws=[]\n",
    "    cms=[]\n",
    "    for i in range(len(links)):\n",
    "        print(i,)\n",
    "        r=requests.get(links[i]['href'])\n",
    "        g=repr(r.content)\n",
    "        coord_start=g.find('GLatLng')\n",
    "        coord_end=coord_start+g[coord_start:].find(')')\n",
    "        coord=g[coord_start+len('GLatLng')+1:coord_end].split(',')\n",
    "        kw_start=g.find('<meta name=\"keywords')\n",
    "        kw_end=kw_start+g[kw_start:].find('/>')\n",
    "        kw=g[kw_start+len('<meta name=\"keywords\" content=\"'):kw_end].split(',')\n",
    "        kw=[i.strip() for i in kw]\n",
    "        cm_start=g.find('<b>C&iacute;m:</b>')\n",
    "        cm_end=cm_start+g[cm_start:].find('<br>')\n",
    "        cm=g[cm_start+len('<b>C&iacute;m:</b>'):cm_end].strip()\n",
    "        \n",
    "        coords.append(coord)\n",
    "        kws.append(kw)\n",
    "        cms.append(cm)\n",
    "   \n",
    "    df=df[:len(links)]\n",
    "    df['coords']=coords\n",
    "    df['kws']=kws\n",
    "    df['cms']=cms\n",
    "    dfs2.append(df)\n",
    "    print(region)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T09:03:49.815627Z",
     "start_time": "2018-12-16T09:03:49.810628Z"
    }
   },
   "outputs": [],
   "source": [
    "dfs[5].columns=dfs[0].columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T09:04:06.364690Z",
     "start_time": "2018-12-16T09:04:06.356689Z"
    }
   },
   "outputs": [],
   "source": [
    "dfsi=pd.concat(dfs).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T09:04:07.103689Z",
     "start_time": "2018-12-16T09:04:07.093685Z"
    }
   },
   "outputs": [],
   "source": [
    "dfsi2=pd.concat(dfs2).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2018-12-16T09:04:08.766218Z"
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   },
   "outputs": [],
   "source": [
    "dfsi.to_csv('dfsi.csv',sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-12-16T09:04:09.266213Z",
     "start_time": "2018-12-16T09:04:09.103216Z"
    }
   },
   "outputs": [],
   "source": [
    "dfsi2.to_csv('dfsi2.csv',sep=';')"
   ]
  }
 ],
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