Google Maps Scraper
No credit card required
Google Maps Scraper
No credit card required
Extract data from hundreds of Google Maps locations and businesses. Get Google Maps data including reviews, images, contact info, opening hours, location, popular times, prices & more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
Do you want to learn more about this Actor?
Get a demoYou can access the Google Maps Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "searchStringsArray": ["restaurant"],
10 "locationQuery": "New York, USA",
11 "maxCrawledPlacesPerSearch": 50,
12 "language": "en",
13 "maxImages": 1,
14 "maxReviews": 0,
15 "maxQuestions": 0,
16 "countryCode": "",
17 "allPlacesNoSearchAction": "",
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("compass/crawler-google-places").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26 print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start📍 Google Maps Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Compass- 3k monthly users
- 527 stars
- 98.8% runs succeeded
- 5.9 days response time
- Created in Nov 2018
- Modified 2 days ago
