Go to example tasks![๐ดUber Eats Scraper [PPR]](https://images.apifyusercontent.com/ykFVd357QmY_QibZ6uZN0e2akovcyShvXAIQki1sw6Q/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnJRZVVKUGJlSkxWVnNYUEgvNEluWnUzcDBTdDc3cmoxTngtc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp)
๐ Get a restaurant's full menu and prices from its URL
Created by
borderline
![๐ดUber Eats Scraper [PPR]](/_next/image?url=https%3A%2F%2Fimages.apifyusercontent.com%2FykFVd357QmY_QibZ6uZN0e2akovcyShvXAIQki1sw6Q%2Frs%3Afill%3A250%3A250%2Fcb%3A1%2FaHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnJRZVVKUGJlSkxWVnNYUEgvNEluWnUzcDBTdDc3cmoxTngtc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp&w=3840&q=75){kind=small}
Paste the URL of any Uber Eats store page and get its complete menu as structured data: every menu category, each item with title, description, price, popularity rating, number of ratings, sold-out and availability flags โ plus the restaurant's hours, rating, reviews, phone and address. Add as many `urls` as you need; each URL becomes one row.
๐ดUber Eats Scraper [PPR]borderline/uber-eats-scraper-ppr
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
+37 fieldsTextNumberBooleanListObject
Input
๐ Store URLs:https://www.ubereats.com/fr/store/mcdonalds-paris-alesia/eHoH6Q_2RRikwI-xKk7qaQ
๐บ๏ธ Locale:fr-FR
๐งฉ Menu customizations:false
Output fields
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
Merchant Type
Phone Number
Emails
Categories
Menu
Featured Items
Store Reviews
Featured Reviews
Location
Distance
Cuisine list
Rating
Price Bucket
Parent Chain
Chain
City Slug
Store Slug
Scraped At
Dining Mode
Search Address
Menu Analytics
Store Availability Status
Open Now
Accepting Orders
Closed Message
ETA Range
ETA Minutes
Fare Badge
Delivery Fee
Hours Summary
Promotions
Hours
Currency Code
Categories Link
UUID
URL
Supported Dining Modes
Sign up on Apify01
Create your Apify account to access the ๐ดUber Eats Scraper [PPR].
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
