Food Data Scraping in USA, Built for America's Delivery Economy
Restaurant listings, live menus, pricing, offers, reviews, and outlet locations pulled from every major US food delivery platform — structured, deduplicated, and delivered on a schedule you set.
Food Industry Overview in USA
The United States is the second-largest online food delivery market in the world, and one of the hardest to track by hand. Here's the landscape our pipelines are built for.
Between three dominant aggregators, a growing quick-commerce food layer, direct QSR apps, and thousands of independent restaurants and cloud kitchens, restaurant data across the US changes constantly — new locations open weekly, menus get re-priced by daypart, and promotions rotate daily. Manual tracking simply cannot keep pace at this scale, which is why data teams, restaurant chains, and market researchers rely on food data scraping in USA instead of spreadsheets.
Our Food Delivery Data Scraping USA Services
Our food data scraping in USA service stack covers the full data lifecycle — from raw extraction to analytics-ready delivery.
USA Restaurant Data Extraction
Names, cuisines, addresses, hours, and status across every listing platform in a metro.
Menu Data Scraping
Item-level menus with modifiers, combos, and category structure, refreshed on schedule.
Food Price Data Scraping in USA
Base price, surge price, discounts, and promo-code tracking across dayparts and platforms.
Reviews & Ratings Extraction
Star ratings, review text, sentiment tags, and rating trend history per location.
Food Delivery Data Collection USA
Delivery time bands, minimum order value, delivery fee tiers, and serviceable zones.
Location & Outlet Mapping
Geo-coordinates, location counts, dark-kitchen footprint, and market-level density mapping.
Leading Food Delivery Platforms We Scrape in the USA
Aggregators, quick-commerce food layers, and direct-to-app QSR ordering systems.
Coverage is built and maintained per client requirement, in line with each platform's public data and applicable terms of use.
USA Restaurant Data Extraction
A complete, deduplicated restaurant master list per metro — the foundation layer every downstream analysis depends on.
- Location name, brand, cuisine tags, and price band
- Operating hours and live/inactive status
- Cross-platform ID matching to remove duplicates
{
"restaurant_id": "WDC-NYC-04821",
"name": "Joe's Downtown Pizza",
"platform": "DoorDash",
"city": "New York",
"neighborhood": "Greenwich Village",
"cuisines": ["Pizza", "Italian"],
"avg_cost_for_two": 28,
"rating": 4.5,
"status": "open",
"last_scraped": "2026-07-10T09:12:00Z"
}
Food Price Data Scraping in USA
Track how prices and discounts move across platforms and dayparts, down to the promo-code level.
- Base price vs. platform surge/peak-hour price
- Active promo codes, flat-off and percentage-off offers
- Historical price change logs for trend analysis
| Item | Platform | Base $ | Offer |
|---|---|---|---|
| Combo Meal | Uber Eats | 13.99 | 20% OFF |
| 2 Pizza Combo | Domino's App | 21.99 | Flat $5 |
| Chicken Bowl | DoorDash | 11.49 | Buy1Get1 |
| Family Meal Deal | Grubhub | 29.99 |
Restaurant Reviews & Ratings Data Extraction
Structured review capture with rating history, so you can spot quality drift before it shows up in churn.
- Overall rating and delivery-experience sub-ratings
- Review text with date and reviewer tier
- Rating trend tracked over rolling 30/90-day windows
{
"restaurant_id": "WDC-AUS-01193",
"rating_overall": 4.2,
"rating_delivery": 4.3,
"review_count_30d": 288,
"rating_trend_90d": "+0.3",
"top_tags": ["fast delivery", "generous portions"]
}
Food Delivery Data Collection USA
Understand serviceability and delivery economics at the location and neighborhood level.
- Estimated delivery time bands by neighborhood
- Minimum order value and delivery fee tiers
- Serviceable radius and dark-kitchen assignment
| Neighborhood | ETA | Min Order | Fee $ |
|---|---|---|---|
| Capitol Hill | 22–28 min | $12 | 2.99 |
| Ballard | 28–35 min | $15 | 3.99 |
| Fremont | 18–24 min | $10 | 1.99 |
Restaurant Location & Outlet Data
Geo-tagged location data for footprint mapping, whitespace analysis, and competitor density studies.
- Latitude/longitude and full street address
- Outlet type: dine-in, delivery-only, ghost kitchen
- Brand-wise location counts per city and neighborhood
| Brand | City | Outlets | Type |
|---|---|---|---|
| Shake Shack | Chicago | 18 | Dine-in |
| CloudKitchens Co. | Chicago | 9 | Ghost Kitchen |
| Chipotle | Chicago | 34 | Delivery-only |
Food Data Fields We Extract
A standard field set that most engagements start from — extended per client on request.
Sample Restaurant Dataset
A preview of the raw fields our crawlers pull from food delivery platforms across US cities — this is a 10-row sample from a live dataset refreshed daily.
| # | Restaurant | Cuisine | City · Area | Rating | Diet | Platforms | Price for two | Hours | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Katz's Deli | American Deli | New York · Lower East Side | ★ 4.6 | Non-Veg | DDUE | $45 | 8am–10pm | 2026-07-10 05:40 |
| 02 | Pat's King of Steaks | Cheesesteaks | Philadelphia · South Philly | ★ 4.4 | Non-Veg | DDUEGH | $28 | 24 hours | 2026-07-10 05:55 |
| 03 | Franklin Barbecue | Texas BBQ | Austin · East Side | ★ 4.7 | Non-Veg | DDUE | $40 | 11am–3pm | 2026-07-10 06:02 |
| 04 | Green Bowl Café | Vegan Cafe | Portland · Pearl District | ★ 4.3 | Vegan | UEGH | $22 | 7:30am–8pm | 2026-07-10 05:48 |
| 05 | Original Rainbow Cone | Desserts | Chicago · Beverly | ★ 4.5 | Veg | DD | $18 | 12pm–10pm | 2026-07-10 06:07 |
| 06 | Din Tai Fung | Taiwanese | Seattle · Bellevue | ★ 4.6 | Non-Veg | DDUEGH | $50 | 11am–9pm | 2026-07-10 05:33 |
| 07 | Nashville Hot Chicken Co. | Southern Fried Chicken | Nashville · Midtown | ★ 4.4 | Non-Veg | DDUE | $25 | 11am–10pm | 2026-07-10 06:15 |
| 08 | Boston Chowda House | Seafood | Boston · Faneuil Hall | ★ 4.5 | Non-Veg | DDUEGH | $55 | 11am–9:30pm | 2026-07-10 05:59 |
| 09 | Voodoo Doughnut | Doughnuts | Portland · Old Town | ★ 4.3 | Veg | UE | $15 | 24 hours | 2026-07-10 05:21 |
| 10 | Paradise Biryani House | Indian | Houston · Midtown | ★ 4.4 | Non-Veg | DDUEGH | $32 | 11am–11pm | 2026-07-10 06:20 |
🇺🇸 Sample records — live US food data API returns full datasets with all scraped fields across 320 cities
Access Full Dataset →Food Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive price benchmarking
Compare pricing across your locations vs. competing brands, neighborhood by neighborhood.
Ghost kitchen site selection
Identify underserved neighborhoods using location density and delivery-time data.
Dynamic menu optimisation
Spot high-performing items and pricing gaps across your catalogue.
Aggregator commission analysis
Reconcile listed prices against payouts across platforms.
Brand reputation monitoring
Track rating drift and review sentiment across locations in near real time.
Market-entry research
Size a city's food delivery market before committing to expansion.
Industries We Serve
QSR & Restaurant Chains
Ghost Kitchen Operators
Food Delivery Aggregators
CPG & Packaged Food Brands
Market Research Firms
Investors & PE / VC Analysts
Pricing & Revenue Teams
Consulting & Advisory Firms
Benefits of Food Data Scraping
What structured, always-fresh food data actually changes for your team.
Faster decisions
Skip manual audits — pricing and menu changes land in your pipeline within hours.
Nationwide coverage
See every location in a market, not just the ones your team can manually check.
Historical trendlines
Price, rating, and offer history that spreadsheets can't reconstruct after the fact.
Clean, deduped data
One restaurant record per location, matched across platforms — no duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual analysis and strategy.
API-ready delivery
Plug data directly into your BI tools, dashboards, or internal systems.
Our Food Data Collection Process
A coded, repeatable system built to scale across every US metro without dropping a single record.
Scope & target mapping
We confirm platforms, cities, and the exact field set your use case needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need — hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and broken listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Restaurant Data API Scraping USA & Integration
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
{
"count": 6140,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-10T06:00:00Z"
}
Cities Covered Across the USA
Major-metro-first coverage that extends into secondary and emerging markets as delivery platforms grow.
Frequently Asked Questions
We collect publicly available data for food data scraping in USA and structure our pipelines around each platform's public listings and applicable terms. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement — commonly hourly for pricing/offers, daily for menus, and weekly for outlet/location data.
Yes — we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access — whichever fits your existing stack.
Yes, coverage extends beyond the top metros into secondary and tertiary markets, scoped on request based on platform availability.
Fill in the form below with your city and platform of interest — we'll share a free structured sample dataset within one business day.
Why Choose Our Web Data Crawlers?
Streamline Research
Automate data collection for comprehensive insights.
Save Time
Efficiently gather and analyze data from multiple sources.
Real-time Updates
Stay continuously informed with the latest information.
Competitive Advantage
Monitor competitors' activities and pricing strategies.
Insightful Analysis
Extract trends and patterns for strategic decision-making.
Market Intelligence
Aggregate data from diverse websites effortlessly.
Customizable Solutions
Tailored to fit specific business requirements seamlessly.
Enhanced Productivity
Streamline workflows and boost efficiency significantly.
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