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Google Maps Fast Scraper

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Pay $2.00 for 1,000 rows

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Google Maps Fast Scraper

Google Maps Fast Scraper

xmiso_scrapers/google-maps-scraper
Try for free

Pay $2.00 for 1,000 rows

Cost effective version of lightweight, fast, low memory google maps scraper, speed 1000 results per minute, priced at just $2/1000 rows

You can access the Google Maps Fast 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    "search_query": "dentist",
10    "gmaps_url": "https://www.google.com/maps/search/dentist/@37.7647232,-122.4924768,13z/data=!3m1!4b1?entry=ttu&g_ep=EgoyMDI0MDkxMS4wIKXMDSoASAFQAw%3D%3D",
11    "latitude": "",
12    "longitude": "",
13    "area_width": 20,
14    "area_height": 20,
15    "max_results": 200,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("xmiso_scrapers/google-maps-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Fast Scraper API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Fast Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 4 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • Created in Aug 2024
  • Modified 17 days ago