Bundestagswahl 2017: der Bundeswahlleister-Scrapper

gistfile1.txt

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   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
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   "source": [
    "import requests\n",
    "import bs4\n",
    "import re\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "import json\n",
    "from csv import writer, DictWriter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_page(wk_url):\n",
    "    resp = requests.get(wk_url)\n",
    "    resp.encoding = 'utf-8'\n",
    "    wk_soup = bs4.BeautifulSoup(requests.get(wk_url).content.decode('utf8'), \"html5lib\")\n",
    "    votes = wk_soup.select('.table-stimmen')[0]\n",
    "    rows = votes.select('tbody tr')\n",
    "    result = {}\n",
    "    for row in rows:\n",
    "        name = row.select('td:nth-of-type(1)')[0].text.strip()\n",
    "        first = row.select('td:nth-of-type(2)')[0].text.strip().replace('.', '')\n",
    "        first = 0 if first == '-' else int(first)\n",
    "        second = row.select('td:nth-of-type(5)')[0].text.strip().replace('.', '')\n",
    "        second = first if second == '-' else int(second)\n",
    "        result[name] = { 'first': first, 'second': second }\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_state(state_id):\n",
    "    state_url = 'https://www.bundeswahlleiter.de/bundestagswahlen/2017/ergebnisse/bund-99/land-%s.html' % state_id\n",
    "    state_dom = bs4.BeautifulSoup(requests.get(state_url).content.decode('utf8'), \"html5lib\")\n",
    "    states = state_dom.select('.flex .linklist .linklist__item a')\n",
    "    result = {}\n",
    "    for state in tqdm(states, leave=False):\n",
    "        wk_str = re.match(r'land-\\d+/wahlkreis-(\\d+).html', state.attrs['href']).group(1)\n",
    "        wk_id = int(wk_str)\n",
    "        result[wk_id] = parse_page('https://www.bundeswahlleiter.de/bundestagswahlen/2017/ergebnisse/bund-99/land-%s/wahlkreis-%s.html' % (state_id, wk_id))\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_map = {\n",
    "    8: 'Baden-Württemberg',\n",
    "    9: 'Bayern',\n",
    "    11: 'Berlin',\n",
    "    12: 'Brandenburg',\n",
    "    4: 'Bremen',\n",
    "    2: 'Hamburg',\n",
    "    6: 'Hessen',\n",
    "    13: 'Mecklenburg-Vorpommern',\n",
    "    3: 'Niedersachsen',\n",
    "    5: 'Nordrhein-Westfalen',\n",
    "    7: 'Rheinland-Pfalz',\n",
    "    10: 'Saarland',\n",
    "    14: 'Sachsen',\n",
    "    15: 'Sachsen-Anhalt',\n",
    "    1: 'Schleswig-Holstein',\n",
    "    16: 'Thüringen',\n",
    "}\n",
    "\n",
    "def parse_btw():\n",
    "    results = {}\n",
    "    for i in tqdm(range(1, 17)):\n",
    "        results[state_map[i]] = parse_state(i)\n",
    "    return results"
   ]
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       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
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       "  Widgets Documentation</a> for setup instructions.\n",
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       "<p>\n",
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       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
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       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
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      "\n"
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   ],
   "source": [
    "btw = parse_btw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "json.dump(btw, open('btw_results.json', 'w'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_districts(btw):\n",
    "    result = {}\n",
    "    for key in btw.keys():\n",
    "        for distr_id in btw[key].keys():\n",
    "            result[distr_id] = btw[key][distr_id]\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "distrs = to_districts(btw)\n",
    "json.dump(distrs, open('btw_distr_results.json', 'w'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_flat(btw_distrs):\n",
    "    result = []\n",
    "    for idx, distr_results in btw_distrs.items():\n",
    "        for party, party_res in distr_results.items():\n",
    "            result.append((idx, party, party_res['first'], party_res['second']))\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('flat.csv', 'w') as f:\n",
    "    w = writer(f)\n",
    "    w.writerows(to_flat(distrs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "fields = ['distr_id']\n",
    "for distr in distrs.values():\n",
    "    for key in distr.keys():\n",
    "        fields.add('%s_first' % key)\n",
    "        fields.add('%s_second' % key)\n",
    "with open('even_flatter.csv', 'w') as f:\n",
    "    \n",
    "    w = DictWriter(f, fieldnames=fields)\n",
    "    w.writeheader()\n",
    "    for idx, row in distrs.items():\n",
    "        to_write = { 'distr_id': idx }\n",
    "        for key, value in row.items():\n",
    "            to_write['%s_first' % key] = value['first']\n",
    "            to_write['%s_second' % key] = value['second']\n",
    "        w.writerow(to_write)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AfD': {'first': 10581, 'second': 11647},\n",
       " 'BGE': {'first': 0, 'second': 843},\n",
       " 'CDU': {'first': 68102, 'second': 58307},\n",
       " 'DIE LINKE': {'first': 12138, 'second': 13995},\n",
       " 'Die PARTEI': {'first': 0, 'second': 2091},\n",
       " 'EB: Krüger-Winands': {'first': 755, 'second': 755},\n",
       " 'FDP': {'first': 11143, 'second': 18948},\n",
       " 'FREIE WÄHLER': {'first': 1943, 'second': 1189},\n",
       " 'GRÜNE': {'first': 17899, 'second': 22290},\n",
       " 'Gültige': {'first': 170258, 'second': 170396},\n",
       " 'MLPD': {'first': 0, 'second': 59},\n",
       " 'NPD': {'first': 0, 'second': 354},\n",
       " 'PIRATEN': {'first': 0, 'second': 0},\n",
       " 'SPD': {'first': 47697, 'second': 40376},\n",
       " 'Tierschutzpartei': {'first': 0, 'second': 0},\n",
       " 'Ungültige': {'first': 1647, 'second': 1509},\n",
       " 'Wahlberechtigte': {'first': 225659, 'second': 225659},\n",
       " 'Wähler': {'first': 171905, 'second': 171905},\n",
       " 'ÖDP': {'first': 0, 'second': 297},\n",
       " 'Übrige': {'first': 0, 'second': 0}}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  }
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