Search businesses in different areas on Google Maps

google_maps_search_businesses.py

import requests
import json
import csv

MAPS_KEY='YOUR_API_KEY' # Get API_key & Enable Places_API on GCP
MAPS_RADIUS='3000' #3KM radius
MAPS_KEYWORD='PHYSIOTHERAPY' # What are you looking for

CITIES = [
    {'name': 'madrid', 'cord': '40.416586, -3.703884'},
    {'name': 'madrid_south', 'cord': '40.410153, -3.705196'},
    {'name': 'madrid_north', 'cord': '40.428533, -3.704031'},
]

f=csv.writer(open('./export.csv','w', newline='', encoding='utf-8'))

for city in CITIES:

    URL = str('https://maps.googleapis.com/maps/api/place/nearbysearch/json?key='+ MAPS_KEY +'&location='+ city['cord'] +'&radius='+ MAPS_RADIUS +'&keyword='+ MAPS_KEYWORD)
    req = requests.get(URL)
    resp = json.loads(req.text.encode('utf8'))

    count = 0
    for result in resp['results']:
        z = list()
        url_data = str('https://maps.googleapis.com/maps/api/place/details/json?place_id='+ result['reference'] +'&fields=formatted_phone_number,website&key='+ MAPS_KEY)
        
        for k, v in result.items():
            if 'name' in k:
                z.append(v)
            if 'code' in k:
                z.append(city['name'].replace('_',' '))
                z.append(v['global_code'])
            if 'rating' == k:
                z.append(v)
            if 'types' in k:
                z.append(",".join(v))
            if 'total' in k:
                z.append(v)
            if 'vicinity' in k:
                z.append(v)

        data = json.loads(requests.get(url_data).text.encode('utf8'))
        z.append(str(data['result'].get('formatted_phone_number','')))
        z.append(str(data['result'].get('website','')))

        f.writerow(z)