Pricing

from $0.30 / 1,000 reviews

UberEats Reviews Scraper

Extract customer reviews from Uber Eats restaurant pages, including authorName, date, text, and placeInfo (name, rating, numberOfReviews, address). Export data, run via API, schedule and monitor runs, or integrate with other tools.

Pricing

from $0.30 / 1,000 reviews

Rating

4.1

(4)

Developer

E Commerce

Actor stats

Bookmarked

151

Total users

Monthly active users

24 days ago

Last modified

Categories

E-commerce

You can access the UberEats Reviews Scraper 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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
10# Run the Actor and wait for it to finish
11run = client.actor("e-commerce/ubereats-reviews-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Uber Eats Reviews Scraper - Ratings, Places API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

UberEats Reviews Scraper API in JavaScript

UberEats Reviews Scraper API through CLI

UberEats Reviews Scraper OpenAPI definition

UberEats Reviews Scraper API

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