UBER EATS DATA SCRAPING

Global food delivery,
menu by menu.

// THE SHORT ANSWER

Uber Eats data scraping extracts food-delivery data from Uber Eats — restaurants, full menus, item-level prices, service and delivery fees, ratings and availability — across cities worldwide. iWeb Data Scraping delivers it QA-verified as CSV, JSON or API, so restaurant chains, ghost kitchens and researchers track competitor menu pricing and market structure across Uber Eats' global footprint.

Get free sample in 48h See the data
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Restaurant listings
  • Data point: Full menu & items
  • Data point: Item-level prices
  • Data point: Service & delivery fees

Uber Eats operates in cities across the globe, and like every delivery platform it prices hyperlocally — menus, item prices and fees vary by restaurant, city and demand. For chains and ghost kitchens competing on it, structured menu data is the input for pricing and expansion decisions that intuition can't make at scale.

We capture restaurants, menus, item prices, fees, ratings and availability across cities, benchmarked against competitors — powering menu intelligence via our managed and app pipelines. Pairs with DoorDash for full US and Zomato/Swiggy for India coverage.

THE POINT

If it’s on the page, we can put it in your warehouse — clean, matched, and refreshed on your schedule.

DATA POINTS WE EXTRACT

Menu to fees, city by city.

Restaurant listings
Full menu & items
Item-level prices
Service & delivery fees
Ratings & reviews
Availability / hours
Cuisine & category
Promotions & Uber One
Delivery time / ETA
City & area
Popular items
New restaurants
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Uber Eats feed — restaurant, item, price, fees, city.
restaurant item price service_fee rating city available
Sushi Bar Salmon Roll 8.95 2.49 4.6 Chicago yes
Sushi Bar Miso Soup 3.50 2.49 4.6 Chicago yes
Taco Loco Burrito 10.25 1.99 4.4 Austin no
Green Bowl Poke Bowl 13.50 2.99 4.7 Seattle yes
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

RESTAURANT / CHAIN

Benchmark menu pricing

Competitor item prices and fees across cities — inform pricing and combos.

GHOST KITCHEN

Find market gaps

Cuisine coverage, pricing and demand per city for concept and location decisions.

MARKET RESEARCH

Global food-delivery intel

Restaurant density, pricing and new-listing velocity across Uber Eats markets.

RELATED:DoorDash Scraping →Menu & Catalog Intelligence →Food Data Scraping →
FAQ

Before the first call.

Restaurant listings, full menus and items, item-level prices, service and delivery fees, ratings and reviews, availability and hours, cuisine and category, promotions and Uber One offers, delivery times, city/area, popular items and new-restaurant listings — across the cities you track.

Yes — item-level pricing is captured per restaurant per city, so chains and ghost kitchens can benchmark competitor menu pricing and fees market by market, revealing the hyperlocal pricing strategies a single national view hides.

Yes — most clients track Uber Eats with DoorDash for US coverage and Zomato/Swiggy for India, as one program with restaurants and items matched across platforms for a complete competitive view.

Daily as standard, with intraday capture available for demand-based pricing and promotions. Each capture is timestamped so menu and fee changes are trackable over time.

Get a free sample dataset in 48 hours.