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🔥 High demand in 2026

Food Delivery & Grocery Data Scraping

Menus, prices, ratings, delivery times, and grocery inventory from Uber Eats, DoorDash, Instacart, Grubhub, and US grocery chains — structured for restaurant analytics, grocery platforms, and food market research teams.

3–7 days  pilot turnaround Hourly / Daily  refresh CSV · JSON · API  delivery

The US food and grocery delivery market crossed $1.4 trillion in 2025 with 7.83% annual growth. Restaurants need menu and pricing intelligence on competitors. Delivery platforms need supply-side data. Grocery chains need cross-store comparison and inventory signals. We extract structured data from the platforms that actually drive US food commerce — and deliver it in formats your team can use immediately.

What you get

Engineered for real production use.

Restaurant menu data

Full menu items, descriptions, modifiers, allergen info, photos, and per-item pricing from Uber Eats, DoorDash, Grubhub, and direct restaurant sites.

Real-time delivery pricing

Delivery fees, service fees, surge pricing windows, minimum order amounts, and promo codes — refreshed at the cadence your pricing decisions need.

Reviews & ratings

Aggregate ratings, individual reviews, response times, and review velocity for restaurants and grocery stores.

Grocery inventory signals

In-stock status, prices, sizes, brand SKUs across Instacart, Whole Foods, Kroger, Safeway, Walmart Grocery, and Target.

Delivery time & coverage

ETA windows, delivery radius coverage, and time-of-day availability by ZIP code.

Cross-platform deduplication

Same restaurant on Uber Eats, DoorDash, and Grubhub deduplicated into a canonical entity with platform-specific details retained.

Sample Schema

This is what your food and grocery data scraping output looks like.

food-grocery-data-scraping_sample.csv ● LIVE SCHEMA
PlatformRestaurant / StoreCity/StateItemPriceDelivery FeeRatingETACaptured (UTC)
Uber EatsJoe's PizzaNew York, NYLarge Pepperoni Pizza$22.99$3.994.625–35 min2026-05-19 10:30
DoorDashJoe's PizzaNew York, NYLarge Pepperoni Pizza$23.49$4.994.530–40 min2026-05-19 10:30
InstacartWhole FoodsAustin, TXOrganic Avocado (each)$1.791 hr2026-05-19 10:30

Sources we typically cover: Uber Eats · DoorDash · Grubhub · Postmates · Instacart · Whole Foods · Kroger · Safeway · Walmart Grocery · Target Grocery · Fresh Direct · Amazon Fresh

Who uses this

Teams that ship with this data weekly.

Restaurant chains & franchises

Track competitor menu pricing, identify trending items, monitor delivery fee structures across markets.

Delivery platform analytics

Build supply-side intelligence on restaurant onboarding, menu completeness, and pricing competitiveness.

Grocery chains & DTC food brands

Monitor competitor pricing, promo cycles, and inventory signals across major US grocery platforms.

Food market research firms

Build market reports on US food delivery trends, regional pricing differences, and category-level dynamics.

Process

From requirements to delivery — fast.

01

Requirements

30-min call to confirm sources, fields, frequency, and output schema.

02

Pilot in 3–7 days

Sample dataset delivered for your team to validate coverage and quality.

03

Production + SLA

Scheduled jobs, monitoring, retries, reporting — backed by uptime SLA.

Get a sample dataset in 3–7 days.

Tell us the sources and fields you need. We will reply within 1 business day with a sample schema and a fast estimate.

Request sample data
FAQ

About food and grocery data scraping.

Can you scrape Uber Eats and DoorDash at scale?

Yes — both platforms have anti-bot infrastructure but we handle them at production scale with proper IP rotation and rate management. Sub-5% block rate is the target.

Do you handle location-specific menus?

Yes — menus and prices vary by delivery address. We capture by pinned ZIP codes or addresses to ensure consistent geographic coverage for your target markets.

Can you track promo codes and discounts?

Yes — promo codes surfaced on the platform, BOGO deals, free delivery offers, and platform-specific discounts are captured where publicly displayed.

How fresh is the data?

Pricing data refreshed every 2–6 hours typically. Menu structure changes weekly is standard. Higher-cadence refreshes available for time-sensitive use cases.