Google Maps Extractor
Pricing
$6.00 / 1,000 results
Google Maps Extractor
Extract data from hundreds of places fast. Scrape Google Maps by keyword, category, location, URLs & other filters. Get addresses, contact info, opening hours, popular times, prices, menus & more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
4.3 (62)
Pricing
$6.00 / 1,000 results
916
Total users
39.8k
Monthly users
6.2k
Runs succeeded
86%
Response time
2.9 days
Last modified
an hour ago
You can access the Google Maps Extractor 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 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}
14
15# Run the Actor and wait for it to finish
16run = client.actor("compass/google-maps-extractor").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🏎 Google Maps Data Extractor API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
