Google Maps Data Scraper
Pricing
$30.00/month + usage
Google Maps Data Scraper
Capture every detail from Google Maps with this powerful Actor! 🌟 Extract an exceptionally rich set of fields, enjoy unmatched speed and stability, and break through Google Maps' 120-item limit. Perfect for lead generation, market research, and data analysis. 🚀
0.0 (0)
Pricing
$30.00/month + usage
27
Total users
85
Monthly users
28
Runs succeeded
>99%
Last modified
a month ago
You can access the Google Maps Data Scraper programmatically from your own 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 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 "urls": ["https://www.google.com/maps/search/coffee/@42.5438041,-124.2804221,12.04z/data=!4m2!2m1!6e5?entry=ttu&g_ep=EgoyMDI0MTIxMS4wIKXMDSoJLDEwMjExMjMzSAFQAw%3D%3D"],10 "keywords": [],11 "location": "New York City",12}13
14# Run the Actor and wait for it to finish15run = client.actor("delicious_zebu/google-maps-data-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])19for item in client.dataset(run["defaultDatasetId"]).iterate_items():20 print(item)21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGoogle Maps Data Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
