Google Map Review Scraper
Pay $0.50 for 1,000 reviews
Google Map Review Scraper
Pay $0.50 for 1,000 reviews
Extract Google Maps place reviews using URLs. Retrieve review text, publication date, formatted data, owner responses, review URLs, and reviewer details. Download scraped data, run via API, schedule and monitor runs, or integrate with other tools
You can access the Google Map Review 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 "start_urls": [{ "url": "https://www.google.com/maps/place/hub+by+Premier+Inn+London+Soho+hotel/@51.5131803,-0.1348236,17z/data=!4m11!3m10!1s0x487605af1b928353:0xdad3fbac544f2168!5m2!4m1!1i2!8m2!3d51.5131803!4d-0.1348236!9m1!1b1!16s%2Fg%2F11fkn1t17_?entry=ttu&g_ep=EgoyMDI1MDEyOS4xIKXMDSoASAFQAw%3D%3D" }],
10 "start_date": "2000-01-01",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("scrapercoder/google-map-review-scraper").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-startGoogle Map Review Scraper API in Python
The Apify API client for Pythonis the official library that allows you to use Google Map Review Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
wallnut.aiActor Metrics
1 monthly user
-
0 No stars yet
>99% runs succeeded
Created in Feb 2025
Modified 3 days ago
