Google Maps Reviews Scraper
Pay $0.50 for 1,000 reviews
Google Maps Reviews Scraper
Pay $0.50 for 1,000 reviews
Extract all reviews of Google Maps places using place URLs. Get review text, published date, response from owner, review URL, and reviewer's details. Download 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 Reviews 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 "maxReviews": 100,
11 "language": "en",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("compass/google-maps-reviews-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 Reviews Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Compass- 388 monthly users
- 40 stars
- 98.9% runs succeeded
- 3.4 days response time
- Created in Feb 2022
- Modified about 11 hours ago
