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🌍 Scrape Uber Eats restaurants in France
Created by
borderline
![🍴Uber 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}
Scrape Uber Eats France with the right locale and proxy country already set: enter any French address and get the restaurants delivering there, with menus and prices in euros, French item names, ratings and reviews, delivery fee, ETA, opening hours, phone and coordinates. Change `address` to the French city or street you need; keep `locale` fr-FR and `addressCountry` FR.
🍴Uber Eats Scraper [PPR]borderline/uber-eats-scraper-ppr
Restaurant Logo
Hero Image
Restaurant title
Sanitized Title
+37 fieldsTextNumberBooleanListObject
Input
📍 Delivery address:71 Avenue du Général Leclerc, 75014 Paris
🏪 Store type (vertical):RESTAURANTS
📈 Maximum number of rows (restaurants/stores):50
🗺️ Locale:fr-FR
🌍 Address proxy country:FR
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 🍴Uber 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.
