DOORDASH DATA SCRAPING

US food delivery,
as structured data.

// THE SHORT ANSWER

DoorDash data scraping extracts food-delivery data from DoorDash — restaurants, full menus, item-level prices, delivery and service fees, ratings and availability — across US cities, delivered QA-verified as CSV, JSON or API. iWeb Data Scraping helps US restaurant chains, ghost kitchens and market researchers track competitor menu pricing and market structure city by city.

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: Delivery & service fees

DoorDash leads US food delivery, and like its global peers it's a hyperlocal, dynamic marketplace — menus, prices and fees vary by restaurant, city and time. For US restaurant chains and ghost-kitchen operators, competitor menu data on DoorDash is the input for pricing and market-entry decisions that intuition can't make well.

We capture restaurants, menus, item prices, fees, ratings and availability across cities, benchmarked against competitors — powering menu intelligence for the US market via our managed and app pipelines. Pair with Zomato/Swiggy for global food-delivery 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
Delivery & service fees
Ratings & reviews
Availability / hours
Cuisine & category
Promotions & DashPass
Delivery time / ETA
City & area
Popular / trending items
New restaurant listings
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.

DoorDash feed — restaurant, item, price, fees, availability.
restaurant item price delivery_fee rating city available
Taco Fiesta Burrito Bowl 11.49 2.99 4.6 Austin yes
Taco Fiesta Chips & Guac 4.99 2.99 4.6 Austin yes
Noodle Bar Pad Thai 13.95 1.99 4.4 Seattle no
Green Bowl Cobb Salad 10.75 3.49 4.7 Denver 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 US cities — inform pricing and combos.

GHOST KITCHEN

Find market gaps

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

MARKET RESEARCH

US food-delivery structure

Restaurant density, pricing trends and new-listing velocity across DoorDash markets.

RELATED:Menu & Catalog Intelligence →Zomato & Swiggy Scraping →Food Data Scraping →
FAQ

Before the first call.

Restaurant listings, full menus and items, item-level prices, delivery and service fees, ratings and reviews, availability and hours, cuisine and category, promotions and DashPass offers, delivery times, city/area, popular items and new-restaurant listings — across the US 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. This reveals the hyperlocal pricing strategies that a single national view completely hides.

Yes — DoorDash pairs with Uber Eats (on request) for US coverage and with Zomato/Swiggy for global reach. Most clients track multiple platforms as one program, with restaurants and items matched across them for a complete competitive view.

Daily as standard, with intraday capture available for demand-based pricing and promotions. Menus and fees change less frequently than quick-commerce prices, so daily refresh usually suffices, tightened around promotions or menu updates.

Get a free sample dataset in 48 hours.