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UberEats Reviews Scraper
Try for free

Pay $0.75 for 1,000 Reviews

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UberEats Reviews Scraper

UberEats Reviews Scraper

tri_angle/ubereats-reviews-scraper
Try for free

Pay $0.75 for 1,000 Reviews

Ubereats Reviews allows you to scrape reviews by simply adding the UberEats URLs

Uber Eats Reviews Scraper

What does Uber Eats Reviews Scraper do?

It's a tool that allows you to get reviews data for places on Uber Eats, such as date, text, and author.

How much does it cost to scrape reviews from Uber Eats?

When it comes to scraping, it can be challenging to estimate the resources needed to extract data, as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.

Apify provides you with $5 free usage credits to use every month on the Apify Free plan. That should be enough to give this scraper a test drive.

Watch this video for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

How do I use Uber Eats Reviews Scraper to extract data?

This Uber Eats Reviews Scraper was designed for an easy start even if you've never extracted data from the web before. Here's how you can scrape reviews from Uber Eats with this tool:

  1. Create a free Apify account using your email.
  2. Open Uber Eats Reviews Scraper.
  3. Enter your Uber Eats URLs.
  4. Click "Start" and wait for the data to be extracted.
  5. Export your Uber Eats reviews in Excel, CSV, JSON, or other formats.

Input

The input for Uber Eats Reviews Scraper should be:

  • A list of Uber Eats URLs.
  • The maximum number of reviews to scrape for each place.

Output sample

The extracted Uber Eats reviews will be shown as a dataset which you can find in the Output tab.

You can preview all the fields in the Storage and Output tabs and choose the format in which to export the Google Scholar data you've extracted: JSON, CSV, Excel, or HTML table. Here below is a sample dataset in JSON:

1{
2	"authorName": "Jon Doe",
3	"date": "12/31/23",
4	"text": "Great!",
5	"placeInfo": {
6		"id": "acbd123456789",
7		"url": "https://www.ubereats.com/store/a-place/acbd123456789",
8		"name": "The Place",
9		"rating": 4.7,
10		"numberOfRatings": 24,
11		"numberOfReviews": 14,
12		"address": "This Way, 13, That City"
13	}
14}
Developer
Maintained by Apify
Actor metrics
  • 6 monthly users
  • 74.5% runs succeeded
  • Created in May 2024
  • Modified 8 days ago