How to Scrape Google Maps Places in Python

Published by the Livescraper Team on June 14, 2025 🌐 https://livescraper.com

Table of Contents

• Scrape Google Places in Python
• Scrape Google Places in Python Within 6 Minutes
• Scrape Google Maps Using Livescraper SDK
• Video Tutorial
• FAQ

Scrape Google Places in Python

Scraping Google Maps directly using pure Python is extremely difficult due to advanced protections like Recaptcha, dynamic JavaScript rendering, and IP restrictions. Even seasoned developers hit rate limits within 10 requests. That’s where Livescraper comes in—your all-in-one platform for extracting business listings, locations, reviews, and more from Google Maps, reliably and at scale.

With Livescraper, you don’t need to deal with proxies, headless browsers, or reverse-engineering Google’s frontend. Whether you’re a solo developer or part of a data engineering team, our tool can deliver the clean, structured data you need from Google Maps with ease.

Scrape Google Places in Python Within 6 Minutes

Building and maintaining a custom Google Maps scraper can take weeks of effort, not to mention constant maintenance to bypass Google’s bot detection systems. That’s why many developers turn to Livescraper—a cloud-based scraping API platform that handles all the heavy lifting.

Instead of wasting time managing scraper infrastructure, you can simply call Livescraper’s API from Python and get instant results with thousands of entries in minutes.

Scrape Google Maps Using Livescraper SDK

Step 1: Install the Python SDK

pip install livescraper

Step 2: Get Your API Key

Create an account at https://livescraper.com and get your API key from your profile page.

Step 3: Initialize and Make Your First Request

from livescraper import ApiClient

api_client = ApiClient(api_key='YOUR_LIVESCRAPER_API_KEY')

response = api_client.google_maps_search(
    query='Restaurants near Los Angeles, USA',
    language='en',
    region='us',
    limit=100
)

print(response)

Step 4: Process Your Data

Once the request is complete, you’ll receive structured JSON containing details like:

• Name
• Full address
• GPS coordinates
• Website and phone number
• Business category and subtypes
• Ratings and review count
• Working hours
• Google Maps place links
• And much more…

Example response:

    {
        "name": "The Rustic Table",
        "full_address": "45 Elm Street, Greenfield, MA 01301",
        "borough": "Downtown Greenfield",
        "street": "45 Elm Street",
        "city": "Greenfield",
        "postal_code": "01301",
        "country_code": "US",
        "country": "United States of America",
        "us_state": "Massachusetts",
        "state": "Massachusetts",
        "plus_code": null,
        "latitude": 42.587042,
        "longitude": -72.601493,
        "time_zone": "America/New_York",
        "popular_times": null,
        "site": "http://www.therustictable.com/",
        "phone": "+1 413-555-1234",
        "type": "Farm-to-table restaurant",
        "category": "restaurants",
        "subtypes": "Farm-to-table restaurant, Bistro, Organic restaurant, Vegan restaurant, Restaurant, Wine bar",
        "posts": null,
        "rating": 4.7,
        "reviews": 540,
        "reviews_data": null,
        "photos_count": 320,
        "google_id": "0x89df123456789abc:0xa1b2c3d4e5f6g7h8",
        "place_id": "ChIJ1234abcd5678efgh90ijkl",
        "reviews_link": "https://search.google.com/local/reviews?placeid=ChIJ1234abcd5678efgh90ijkl&q=restaurants+greenfield+usa&authuser=0&hl=en&gl=US",
        "reviews_id": "-1234567890123456789",
        "photo": "https://example.com/photos/restaurant.jpg",
        "street_view": "https://example.com/streetview/restaurant.jpg",
        "working_hours_old_format": "Monday: Closed | Tuesday: 5–10PM | Wednesday: 5–10PM | Thursday: 5–10PM | Friday: 5–11PM | Saturday: 12–3PM, 5–11PM | Sunday: 12–3PM, 5–9PM",
        "working_hours": {
            "Monday": "Closed",
            "Tuesday": "5–10PM",
            "Wednesday": "5–10PM",
            "Thursday": "5–10PM",
            "Friday": "5–11PM",
            "Saturday": "12–3PM, 5–11PM",
            "Sunday": "12–3PM, 5–9PM"
        },
        "business_status": "OPERATIONAL",
        "about": {
            "Service options": {
                "Dine-in": true,
                "Delivery": true,
                "Takeout": true
            },
            "Health & safety": {
                "Mask required": false,
                "Staff required to disinfect surfaces between visits": true
            },
            "Highlights": {
                "Farm-to-table ingredients": true,
                "Great cocktails": true,
                "Live music": true
            },
            "Popular for": {
                "Lunch": true,
                "Dinner": true,
                "Special occasions": true
            },
            "Accessibility": {
                "Wheelchair accessible entrance": true,
                "Wheelchair accessible restroom": true,
                "Wheelchair accessible seating": true
            },
            "Offerings": {
                "Local beers": true,
                "Seasonal dishes": true,
                "Vegetarian options": true,
                "Vegan options": true,
                "Organic dishes": true,
                "Wine": true
            },
            "Dining options": {
                "Dessert": true,
                "Outdoor seating": true
            },
            "Amenities": {
                "Free parking": true,
                "Wi-Fi": true
            },
            "Atmosphere": {
                "Cozy": true,
                "Casual": true,
                "Family-friendly": true
            },
            "Crowd": {
                "Groups": true,
                "Couples": true
            },
            "Planning": {
                "Dinner reservations recommended": true,
                "Accepts reservations": true
            },
            "Payments": {
                "Credit cards": true,
                "Contactless payments": true
            }
        },
        "range": "$$",
        "reviews_per_score": {
            "1": 5,
            "2": 7,
            "3": 30,
            "4": 120,
            "5": 378
        },
        "reserving_table_link": "https://example.com/reserve",
        "booking_appointment_link": "https://example.com/book",
        "owner_id": "123456789012345678901",
        "verified": true,
        "owner_title": "The Rustic Table",
        "owner_link": "https://www.google.com/maps/contrib/123456789012345678901",
        "location_link": "https://www.google.com/maps/place/The+Rustic+Table/@42.587042,-72.601493,14z/data=!4m8!1m2!2m1!1sRustic+Table!3m4!1s0x89df123456789abc:0xa1b2c3d4e5f6g7h8!8m2!3d42.587042!4d-72.601493"
    }

You can now feed this data directly into your application, CRM, or analytics dashboard.

Video Tutorial

🎥 Check out our YouTube Channel for a step-by-step video guide.

 

FAQ

Q: How do I scrape data from Google Maps in Python using Livescraper?

A: Install our Python SDK, authenticate using your API key, and run a simple query to fetch structured place data from Google Maps.

Q: What kind of data can I extract?

A: Business name, address, phone, reviews, website, ratings, coordinates, categories, working hours, and more.

Q: Can I scrape Google Maps reviews with Livescraper?

A: Yes, our API supports deep review extraction for businesses including reviewer names, timestamps, ratings, and content.

Q: How fast is it?

A: Our infrastructure is optimized to return hundreds of results within seconds. Just sit back and let Livescraper do the hard work.

Ready to Start?

Join thousands of developers using Livescraper to automate local data extraction. 🔗 Visit https://livescraper.com and sign up now!