Google Maps Business Scraper
Pay $4.00 for 1,000 places
Google Maps Business Scraper
Pay $4.00 for 1,000 places
Extract place data from Google Maps fast. Just paste Google place URL or Google place id and get business data including contact details, prices, categories, opening hours, menus & 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 Business 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 "startUrls": [{ "url": "https://www.google.com/maps/place/Yellowstone+National+Park/@44.5857951,-110.5140571,9z/data=!3m1!4b1!4m5!3m4!1s0x5351e55555555555:0xaca8f930348fe1bb!8m2!3d44.427963!4d-110.588455?hl=en-GB" }],
10 "language": "en",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("compass/google-places-api").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
🧭 Google Maps Business Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Business Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
- 110 monthly users
- 15 stars
- 94.3% runs succeeded
- 4.2 days response time
- Created in Dec 2023
- Modified about 12 hours ago