affortability_scraping.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-22T02:34:03.295818Z",
     "start_time": "2018-04-22T02:34:01.823353Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "% pylab inline\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import requests\n",
    "import bs4\n",
    "from bs4 import BeautifulSoup\n",
    "import csv\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import os\n",
    "import indeed_scraping\n",
    "import time\n",
    "\n",
    "DATA_DIR = os.path.join(os.getcwd(), 'data')\n",
    "try:\n",
    "    os.makedirs(DATA_DIR)\n",
    "except FileExistsError:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-22T02:34:03.339496Z",
     "start_time": "2018-04-22T02:34:03.298247Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "cities = np.load(file=os.path.join(DATA_DIR, 'cities.npy'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-22T02:34:04.097795Z",
     "start_time": "2018-04-22T02:34:04.034293Z"
    },
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "def get_cost_info(soup):\n",
    "    info = dict()\n",
    "    city_2 = soup.find(name='span', attrs={\"class\": \"city2\"})\n",
    "    if city_2:\n",
    "        city_2 = soup.find(name='span', attrs={\"class\": \"city2\"})\n",
    "        info['city'] = city_2.contents[0]\n",
    "        if city_2.parent.find(name='span', attrs={\"class\": \"number_amount_nobreak\"}):\n",
    "            info['city_cost'] = (\n",
    "                city_2\n",
    "                .parent\n",
    "                .find(name='span', attrs={\"class\": \"number_amount_nobreak\"})\n",
    "                .contents[0]\n",
    "                .replace(',', '')\n",
    "                .replace('$', ''))\n",
    "        else:\n",
    "            info['city_cost'] = None\n",
    "    return info"
   ]
  },
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      "{'city_cost': '5280.08', 'city': 'Alexandria, VA'}\n"
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      "{'city_cost': '4336.69', 'city': 'Worcester, MA'}\n"
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      "{'city_cost': '4168.62', 'city': 'Santa Fe, NM'}\n"
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3607.03', 'city': 'Columbia, MO'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4108.51', 'city': 'Raleigh, NC'}\n"
     ]
    },
    {
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     "name": "stdout",
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     "text": [
      "{'city_cost': '6431.70', 'city': 'Hayward, CA'}\n"
     ]
    },
    {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3470.75', 'city': 'Lexington, KY'}\n"
     ]
    },
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     ]
    },
    {
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      "{'city_cost': '5953.32', 'city': 'San Rafael, CA'}\n"
     ]
    },
    {
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    {
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      "{'city_cost': '5051.19', 'city': 'Long Beach, CA'}\n"
     ]
    },
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     ]
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      "{'city_cost': '3686.89', 'city': 'Panama City, FL'}\n"
     ]
    },
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    },
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      "{'city_cost': '3671.25', 'city': 'Peoria, IL'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3362.76', 'city': 'Lakeland, FL'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
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     "text": [
      "{'city_cost': '4224.31', 'city': 'Riverside, CA'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3384.15', 'city': 'Moscow, ID'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      " 92%|█████████▏| 2835/3075 [09:24<00:47,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4721.96', 'city': 'Minneapolis, MN'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 92%|█████████▏| 2843/3075 [09:25<00:46,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '5159.18', 'city': 'San Diego, CA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 93%|█████████▎| 2859/3075 [09:29<00:42,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4408.65', 'city': 'Greenville, SC'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 93%|█████████▎| 2864/3075 [09:30<00:41,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3816.42', 'city': 'Augusta, ME'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '6469.51', 'city': 'San Mateo, CA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 93%|█████████▎| 2874/3075 [09:32<00:40,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4587.71', 'city': 'Portland, ME'}\n"
     ]
    },
    {
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     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3749.66', 'city': 'Shreveport, LA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3969.29', 'city': 'Farmington Hills, MI'}\n"
     ]
    },
    {
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     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4810.83', 'city': 'Marlborough, MA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4692.81', 'city': 'Bozeman, MT'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 94%|█████████▍| 2903/3075 [09:38<00:34,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3586.32', 'city': 'Winston-salem, NC'}\n"
     ]
    },
    {
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     ]
    },
    {
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     "text": [
      "{'city_cost': '3596.25', 'city': 'Grand Forks, ND'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '6113.59', 'city': 'Washington, DC'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4438.82', 'city': 'Beaverton, OR'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 95%|█████████▌| 2929/3075 [09:43<00:29,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3763.35', 'city': 'Bakersfield, CA'}\n"
     ]
    },
    {
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     "text": [
      " 96%|█████████▌| 2939/3075 [09:44<00:27,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3627.89', 'city': 'Ocala, FL'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      " 96%|█████████▌| 2940/3075 [09:45<00:26,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3162.53', 'city': 'Oshkosh, WI'}\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      " 96%|█████████▌| 2955/3075 [09:47<00:23,  5.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3801.51', 'city': 'Prescott, AZ'}\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4097.29', 'city': 'Flagstaff, AZ'}\n"
     ]
    },
    {
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "{'city_cost': '3198.84', 'city': 'Johnson City, TN'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3666.81', 'city': 'Redding, CA'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
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     "text": [
      "{'city_cost': '5752.60', 'city': 'Irvine, CA'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3777.50', 'city': 'Phoenix, AZ'}\n"
     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3183.79', 'city': 'Springfield, MO'}\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3983.41', 'city': 'Kissimmee, FL'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98%|█████████▊| 3007/3075 [09:58<00:13,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3370.08', 'city': 'Deltona, FL'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 99%|█████████▊| 3032/3075 [10:03<00:08,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '3608.06', 'city': 'Kenosha, WI'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 99%|█████████▊| 3035/3075 [10:04<00:07,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '4554.75', 'city': 'Sacramento, CA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 3070/3075 [10:09<00:00,  5.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'city_cost': '6623.85', 'city': 'Mountain View, CA'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3075/3075 [10:12<00:00,  5.02it/s]\n"
     ]
    }
   ],
   "source": [
    "city_cost_list = []\n",
    "for i, city in tqdm(enumerate(cities), total=len(cities)):\n",
    "    if len(city.split(', ')) != 2:\n",
    "        continue\n",
    "    city_name, state = city.split(', ')\n",
    "    query_url = ('https://www.numbeo.com/cost-of-living/compare_cities.jsp?'\n",
    "     'country1=United+States&country2=United+States&city1=San+Francisco%2C+CA&'\n",
    "     'city2={:}%2C+{:}&tracking=getDispatchComparison').format(city_name, state)\n",
    "    page = requests.get(query_url)\n",
    "\n",
    "    soup = BeautifulSoup(page.text, \"html.parser\")\n",
    "    city_cost_info = get_cost_info(soup)\n",
    "    if len(city_cost_info) and city_cost_info['city_cost'] is not None:\n",
    "        print(city_cost_info)\n",
    "        city_cost_list.append(city_cost_info)\n",
    "    time.sleep(0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-22T02:46:00.457008Z",
     "start_time": "2018-04-22T02:46:00.411468Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "df_city_cost = pd.DataFrame(city_cost_list)\n",
    "df_city_cost['city_cost'] = df_city_cost['city_cost'].astype(float)\n",
    "df_city_cost['relative_cost'] = df_city_cost['city_cost'] / 7800."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-22T02:47:32.977665Z",
     "start_time": "2018-04-22T02:47:32.931430Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "(df_city_cost[['city', 'relative_cost']]).to_csv(os.path.join(DATA_DIR, 'cities_relative_cost.tsv'), sep='\\t')"
   ]
  }
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