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Restaurant Review Aggregator

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Pay $1.50 for 1,000 Reviews

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Restaurant Review Aggregator

Restaurant Review Aggregator

tri_angle/restaurant-review-aggregator
Try for free

Pay $1.50 for 1,000 Reviews

Add restaurant names and get reviews from Yelp, Google Maps, Doordash, UberEats, Tripadvisor, and Facebook. Extract review text, place address, rating, date, reviewer's name. Export reviews in JSON, CSV, HTML, use API, schedule and monitor runs or integrate reviews data with other tools.

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You can access the Restaurant Review Aggregator 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, youā€™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 = { "maxPlaces": 10 }
9
10# Run the Actor and wait for it to finish
11run = client.actor("tri_angle/restaurant-review-aggregator").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start

šŸ½ Restaurant Review Aggregator API in Python

The Apify API client for Python is the official library that allows you to use Restaurant Review Aggregator 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 Apify

Actor Metrics

  • 20 monthly users

  • 9 stars

  • >99% runs succeeded

  • 5.6 hours response time

  • Created in Apr 2024

  • Modified 7 days ago