01
Restaurant storefront pages
Compare seller or supplier details alongside the displayed offers.
All Data API targets
Data API•Managed extraction
Uber Eats Scraper API for Food Delivery Data
Get structured Uber Eats data on restaurant menus, item prices, promotions and delivery terms.
Structured records · Parser maintenance included
Source
Restaurant storefront pages
Managed extractionAccess, extraction and parser maintenance
Example fields
- Restaurant name and service area
- Delivery fee, minimum, and ETA
- Options, sizes, and add-ons
Uber Eats: example source and field groups.
Available data
Uber Eats pages you can collect
Choose the pages that match your project, then check field coverage in a sample.
02
Menu section and item pages
Review the attributes and displayed values for each item.
03
Search, cuisine, and discovery results
Compare visible results and their position in the selected view.
Business use cases
What you can build with Uber Eats data
Structured output
Uber Eats data fields
Field availability varies by page. Check a representative sample before choosing the fields for your project.
01
Restaurant name and service area
Preserve source wording for search and comparison.
02
Cuisine, category, and rating
Keep counts, scores and text distinct when comparing feedback.
03
Delivery fee, minimum, and ETA
Keep currency, terms and collection time with displayed values.
04
Menu section and item name
Preserve source wording for search and comparison.
05
Displayed item price
Keep currency, terms and collection time with displayed values.
06
Options, sizes, and add-ons
Compare like-for-like items using their distinguishing attributes.
07
Item availability and sold-out state
Record the state shown at collection time.
08
Promotion terms and discovery position
Keep currency, terms and collection time with displayed values.
How it works
From Uber Eats pages to useful records
- 01
Share example pages
Send a few URLs and the markets or locations you need.
- 02
Review a sample
Check useful fields, missing values and source links before choosing a plan.
- 03
Agree delivery
Set record volume, refresh frequency and how the data reaches your application.
- 04
Put the data to work
WebScrapingAPI runs collection and maintains extraction as the source changes.
Managed maintenance
We maintain collection. You use the data.
WebScrapingAPI
Collection and maintenance
- Source access
- Data extraction
- Parser updates
- Quality monitoring
Your team
Your data project
- Choose pages and markets
- Select the fields you need
- Set delivery and refresh requirements
- Build your analysis and applications
Get started
Try Uber Eats data in your workflow
Sample data
Check the sample against your own requirements
Check field coverage, missing values and source links in your own tools.
Talk to a data expertFAQ
Uber Eats API questions
What Uber Eats data can I collect?
Get structured Uber Eats data on restaurant menus, item prices, promotions and delivery terms.
Which fields are available?
Field availability varies by page. Check a representative sample before choosing the fields for your project.
How do I get started with Uber Eats data?
Send example URLs, the fields you need and your expected volume. Review a sample with our team, then agree coverage, delivery and pricing.
Who maintains Uber Eats extraction?
WebScrapingAPI operates source access, extraction, parser maintenance and quality monitoring. Your team decides how to use the records in its applications and analysis.
How is Uber Eats data priced?
Pricing depends on the source pages, fields, volume, refresh frequency and delivery method. Request a quote for the collection you need.
Your Uber Eats data
Request Uber Eats sample data
Share example pages, required fields and refresh frequency. We will help you evaluate coverage and delivery.