Google Maps API Python Client
Extract Google Maps data with our Google Maps API Python client. Get programmatic access to phone numbers, coordinates, review counts, business names, opening hours, addresses, websites, ratings, and more using simple Python code. Start free, no credit card required.

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Integrate our Google Maps API
The Apify API client for Python is the official library that allows you to use Google Maps API in Python, providing convenience functions and automatic retries on errors. Get started with simple pip installation and robust error handling built-in.
Python
JavaScript
HTTP
MCP
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9    "searchStringsArray": ["restaurant"],10    "locationQuery": "New York, USA",11    "maxCrawledPlacesPerSearch": 50,12    "language": "en",13    "maximumLeadsEnrichmentRecords": 0,14    "maxImages": 0,15}16
17# Run the Actor and wait for it to finish18run = client.actor("compass/crawler-google-places").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])22for item in client.dataset(run["defaultDatasetId"]).iterate_items():23    print(item)24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGet data with Google Maps API Python client
Use our Python API client to extract Google Maps data by providing search terms, locations, or direct URLs. The API returns structured data, including business details, contact information, ratings, reviews, images, opening hours, and geographic coordinates for comprehensive business intelligence and lead generation.
Input
{ "website": "allPlaces", "language": "en", "maxReviews": 0, "reviewsSort": "newest", "maxQuestions": 0, "locationQuery": "New York, USA", "reviewsOrigin": "all", "scrapeContacts": false, "searchMatching": "all", "skipClosedPlaces": false, "includeWebResults": false, "placeMinimumStars": "", "scrapeDirectories": false, "scrapeImageAuthors": false, "searchStringsArray": [  "restaurant" ], "reviewsFilterString": "", "scrapePlaceDetailPage": false, "allPlacesNoSearchAction": "", "maxCrawledPlacesPerSearch": 50, "scrapeReviewsPersonalData": true, "maximumLeadsEnrichmentRecords": 0, "scrapeTableReservationProvider": false}Output
{ "cid": "7838756667406262025", "fid": "0x89c3ca9c11f90c25:0x6cc8dba851799f09", "url": "<https://www.google.com/maps/search/?api=1&query=Kim's%20Island&query_place_id=ChIJJQz5EZzKw4kRCZ95UajbyGw>", "city": "Staten Island", "menu": "<http://kimsislandsi.com/>", "rank": null, "kgmid": "/g/1tmgdcj8", "phone": "(718) 356-5168", "price": "$10–20", "state": "New York", "title": "Kim's Island", "images": [  {   "imageUrl": "<https://lh5.googleusercontent.com/p/AF1QipMyThXuZMjeiMZfTM42rbJJGm-q54JNzL3xsCn_=w1920-h1080-k-no>",   "authorUrl": "<https://maps.google.com/maps/contrib/103237729589375373179>",   "authorName": "Sebastian Sinisterra (CitySeby)",   "uploadedAt": "2017-05-30T00:00:00.000Z"  } ], "street": "175 Main St", "address": "175 Main St, Staten Island, NY 10307", "orderBy": [  {   "name": "kimsislandsi.com",   "orderUrl": "<http://kimsislandsi.com/>"  } ], "placeId": "ChIJJQz5EZzKw4kRCZ95UajbyGw", "reviews": [  {   "name": "Rocco Castellano",   "text": "Excellent  food great service n always  on time",   "stars": 5,   "rating": null,   "reviewId": "ChdDSUhNMG9nS0VJQ0FnSURuNV9DVnFRRRAB",   "publishAt": "a month ago",   "reviewUrl": "<https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sChdDSUhNMG9nS0VJQ0FnSURuNV9DVnFRRRAB!2m1!1s0x0:0x6cc8dba851799f09!3m1!1s2@1:CIHM0ogKEICAgIDn5_CVqQE%7CCgwInvyhuAYQyOjhgwI%7C?hl=en>",   "likesCount": 0,   "reviewerId": "108813127648936384314",   "reviewerUrl": "<https://www.google.com/maps/contrib/108813127648936384314?hl=en>",   "isLocalGuide": true,   "reviewOrigin": "Google",   "reviewContext": {},   "textTranslated": null,   "publishedAtDate": "2024-10-11T01:23:42.544Z",   "reviewImageUrls": [],   "reviewerPhotoUrl": "<https://lh3.googleusercontent.com/a-/ALV-UjXRb3lzFb-4SdRMWMlaaECCmdFwULv7bvKKVOK-3mmDcBWyJnY3XQ=s120-c-rp-mo-ba4-br100>",   "reviewDetailedRating": {    "Food": 5,    "Service": 5,    "Atmosphere": 5   },   "responseFromOwnerDate": null,   "responseFromOwnerText": null,   "reviewerNumberOfReviews": 74  } ], "website": "<http://kimsislandsi.com/>", "hotelAds": [], "imageUrl": "<https://lh5.googleusercontent.com/p/AF1QipMyThXuZMjeiMZfTM42rbJJGm-q54JNzL3xsCn_=w408-h306-k-no>", "location": {  "lat": 40.5107736,  "lng": -74.2482624 }, "plusCode": "GQ62+8M Staten Island, New York", "subTitle": null, "gasPrices": [], "imageUrls": [  "<https://lh5.googleusercontent.com/p/AF1QipMyThXuZMjeiMZfTM42rbJJGm-q54JNzL3xsCn_=w1920-h1080-k-no>" ], "locatedIn": null, "scrapedAt": "2024-11-28T12:28:50.519Z", "categories": [  "Chinese restaurant",  "Delivery Restaurant" ], "hotelStars": null, "placesTags": [], "postalCode": "10307", "totalScore": 4.5, "webResults": [], "checkInDate": null, "countryCode": "US", "description": null, "imagesCount": 28, "reviewsTags": [  {   "count": 6,   "title": "prices"  },  {   "count": 4,   "title": "delivery"  },  {   "count": 3,   "title": "spareribs"  },  {   "count": 2,   "title": "dumpling"  },  {   "count": 2,   "title": "lo mein"  } ], "bookingLinks": [], "categoryName": "Chinese restaurant", "checkOutDate": null, "neighborhood": "Tottenville", "openingHours": [  {   "day": "Monday",   "hours": "Closed"  },  {   "day": "Tuesday",   "hours": "11 AM to 9:30 PM"  },  {   "day": "Wednesday",   "hours": "11 AM to 9:30 PM"  },  {   "day": "Thursday",   "hours": "11 AM to 12 AM"  },  {   "day": "Friday",   "hours": "12 to 9:30 AM, 11 AM to 10:30 PM"  },  {   "day": "Saturday",   "hours": "11 AM to 10:30 PM"  },  {   "day": "Sunday",   "hours": "12 to 9:30 PM"  } ], "ownerUpdates": [], "reviewsCount": 91, "searchString": "Direct Detail URL: <https://www.google.com/maps/place/Kim's+Island/@40.5107736,-74.2482624,17z/data=!4m6!3m5!1s0x89c3ca9c11f90c25:0x6cc8dba851799f09!8m2!3d40.5107736!4d-74.2482624!16s%2Fg%2F1tmgdcj8?hl=en&entry=ttu>", "googleFoodUrl": null, "searchPageUrl": null, "userPlaceNote": null, "additionalInfo": {  "Children": [   {    "Good for kids": true   }  ],  "Payments": [   {    "Credit cards": true   },   {    "Debit cards": true   },   {    "NFC mobile payments": true   },   {    "Credit cards": true   }  ],  "Planning": [   {    "Accepts reservations": false   }  ],  "Amenities": [   {    "Restroom": false   }  ],  "Offerings": [   {    "Comfort food": true   },   {    "Healthy options": true   },   {    "Quick bite": true   },   {    "Small plates": true   }  ],  "Atmosphere": [   {    "Casual": true   }  ],  "Popular for": [   {    "Lunch": true   },   {    "Dinner": true   },   {    "Solo dining": true   }  ],  "Accessibility": [   {    "Wheelchair accessible entrance": true   },   {    "Wheelchair accessible seating": true   },   {    "Assistive hearing loop": false   },   {    "Wheelchair accessible parking lot": false   },   {    "Wheelchair accessible restroom": false   }  ],  "Dining options": [   {    "Lunch": true   },   {    "Dinner": true   }  ],  "Service options": [   {    "Takeout": true   },   {    "Dine-in": true   }  ] }, "parentPlaceUrl": null, "restaurantData": {}, "imageCategories": [  "All",  "Menu",  "Food & drink",  "Vibe",  "By owner",  "Street View & 360°" ], "isAdvertisement": false, "reserveTableUrl": null, "hotelDescription": null, "peopleAlsoSearch": [  {   "title": "Island Kitchen Chinese",   "category": "People also search for",   "totalScore": 3.4,   "reviewsCount": 70  },  {   "title": "New Island",   "category": "People also search for",   "totalScore": 3.9,   "reviewsCount": 116  },  {   "title": "Islander Taste Chinese Restaurant",   "category": "People also search for",   "totalScore": 4.2,   "reviewsCount": 119  },  {   "title": "Kum Fung",   "category": "People also search for",   "totalScore": 3.8,   "reviewsCount": 168  } ], "phoneUnformatted": "+17183565168", "claimThisBusiness": false, "permanentlyClosed": false, "temporarilyClosed": false, "hotelReviewSummary": null, "questionsAndAnswers": [], "reviewsDistribution": {  "oneStar": 4,  "twoStar": 3,  "fiveStar": 71,  "fourStar": 10,  "threeStar": 3 }, "searchPageLoadedUrl": null, "similarHotelsNearby": null, "updatesFromCustomers": null, "tableReservationLinks": []}Sign up for Apify account01
Creating an account is quick and free — no credit card required. Your account gives you access to more than 5,000 scrapers and APIs.
Install Apify Python client02
Install the Apify Python client using pip: pip install apify-client. This package provides a simple interface to interact with Google Maps API from your Python applications.
Get your Apify API token03
Go to settings in the Apify console and navigate to the “API & Integrations” tab. There, create a new token and save it for later.
Integrate Google Maps API04
Navigate to the Google Maps API page and click on the API dropdown menu in the top right corner. In the dropdown menu, you can see API clients, API endpoints, and more. Use the provided Python code examples to integrate Google Maps API into your Python application.
Get your Google Maps data via API05
The Google Maps API returns structured JSON data that works perfectly with pandas, NumPy, and other Python data analysis libraries.

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Python-ready Google Maps data extraction
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No, there is no official Google Maps Python API client that provides the comprehensive data extraction capabilities offered by this scraper. While Google offers the Places API Python client, it caps search results at only 60 places per query and costs $200 for 28,500 map loads per month. This Google Maps Scraper bypasses the 120 places per area limitation and provides unlimited results without rate limits or quotas, plus additional data like popular times histograms that aren't available in the official Python API client.
Yes, you can try the Google Maps Python API client for free using Apify's free tier. The platform provides free credits to test the Python API client's capabilities before committing to a paid plan, allowing you to extract sample data and evaluate the quality of results for your specific use case.
You can extract comprehensive business data using the Python Google Maps API client including names, addresses, phone numbers, websites, ratings, review counts, categories, opening hours, coordinates, images, menu links, price brackets, popular times, amenities, accessibility information, reviewer details, questions and answers, booking links, and over 50 other data points. The Python API client also supports enrichment add-ons for company contact details and business leads with LinkedIn profiles and email addresses.
Yes, it is legal to scrape Google Maps data using Python API clients as long as you are extracting publicly available information, which covers most data on Google Maps. However, you should respect boundaries regarding personal data and intellectual property regulations when implementing your Python scraping solution. Only scrape personal data with your Python API client if you have a legitimate reason, and ensure compliance with Google's Terms of Use and applicable data protection laws.
Getting started with our Google Maps Python API is easy — simply create a free Apify account, get your API token, and start using the Google Maps API in Python, JavaScript, CLI, cURL, OpenAPI, or MCP.