UberEats Reviews Scraper
by tri_angle
Ubereats Reviews allows you to scrape reviews by simply adding the UberEats URLs
Opens on Apify.com
About UberEats Reviews Scraper
Ubereats Reviews allows you to scrape reviews by simply adding the UberEats URLs
What does this actor do?
UberEats Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
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. 5. Click "Start" and wait for the data to be extracted. 6. 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: json { "authorName": "Jon Doe", "date": "12/31/23", "text": "Great!", "placeInfo": { "id": "acbd123456789", "url": "https://www.ubereats.com/store/a-place/acbd123456789", "name": "The Place", "rating": 4.7, "numberOfRatings": 24, "numberOfReviews": 14, "address": "This Way, 13, That City" } }
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try UberEats Reviews Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- tri_angle
- Pricing
- Paid
- Total Runs
- 2,154
- Active Users
- 93
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