The most comprehensive Food Data Scraping platform in the USA — delivering real-time food data insights from 500,000+ restaurants, menus, delivery platforms, and grocery chains. Power your apps, AI models, and business decisions with structured food data intelligence via a single REST API.
{ "restaurant_id": "rd_us_7742819", "name": "Shake Shack - Midtown NYC", "cuisine": "American Burgers", "rating": 4.6, "review_count": 3821, "delivery_platforms": [ "doordash", "uber_eats" ], "menu_item": { "name": "ShackBurger", "price_usd": 9.49, "calories": 560, "protein_g": 34, "allergens": ["gluten", "dairy"], "in_stock": true, "last_updated": "2025-05-28T14:22:00Z" }, "geo": { "city": "New York", "state": "NY", "zip": "10036", "lat": 40.7549, "lng": -73.9840 } }
All data is normalized, deduplicated, and delivered as structured JSON. Below is the full breakdown of available fields organized by category.
From AI startups to Fortune 500 food brands — here is how teams across industries use our data in production today.
AI teams use our structured food corpus — 50M+ menu items with descriptions, ingredients, and nutrition — to fine-tune LLMs for restaurant recommendation engines, dietary chatbots, and calorie estimation apps. Clean labeled data eliminates months of manual annotation work.
Research firms monitor price inflation across QSR, fast casual, and fine dining segments in real time. Track how menu prices shift across 500 US cities, or identify which food categories are growing fastest by region and season using historical snapshots.
Super-apps and delivery aggregators pull live menu data from DoorDash, Uber Eats, and Grubhub to surface the best price or fastest ETA for a given dish. Our normalized schema makes cross-platform comparison trivial — no format inconsistencies to reconcile.
Calorie counters, macro trackers, and allergen alert systems query our nutrition database to show users exactly what is in their restaurant order — protein, fat, fiber, allergens — before they eat. Data covers both dine-in and delivery menu versions simultaneously.
Multi-unit restaurant operators monitor competitors' menu updates, pricing changes, and new item launches across geographic markets. Get alerted the moment a rival chain reprices a category or launches a limited-time offer anywhere in the USA.
PE firms and analysts track menu expansion velocity, delivery platform penetration, and price positioning to evaluate restaurant chain health before acquisitions. Unit-level menu data reveals operational trends invisible in financial filings alone.
Consumer packaged goods companies monitor how their ingredients appear across restaurant menus — tracking brand co-marketing mentions, organic certifications, and ingredient placement at scale across the entire US foodservice market in real time.
Urban planners, developers, and QSR site-selection teams use our geo-tagged restaurant dataset to identify food access gaps, evaluate neighborhood saturation, and model the optimal location for a new franchise unit across any US zip code.
Consumer apps power queries like "find me a keto-friendly burger under $15 near me open now" by combining our cuisine, nutrition, price, location, and hours data in a single API call — everything needed for real-time personalization in one endpoint.
Here is a preview of exactly what our food data scraping API returns. Every row below is a real-world record representative of the structured food data intelligence we deliver — normalized, deduplicated, and API-ready.
| # | Restaurant | Cuisine | City / State | Rating | Reviews | Platforms | Price (USD) | Hours | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | Shake Shack — Midtown | American Burgers | New York, NY | 3,821 | DDUEGH | $$ | 11am–11pm | 2025-05-28 14:22 | |
| 02 | Chipotle Mexican Grill | Mexican Fast Casual | Los Angeles, CA | 2,104 | DDUE | $$ | 10:45am–10pm | 2025-05-28 14:18 | |
| 03 | The Capital Grille | American Steakhouse | Chicago, IL | 1,562 | OT | $$$$ | 5pm–10pm | 2025-05-28 13:55 | |
| 04 | Joe's Seafood, Prime Steak | Seafood | Washington, DC | 4,230 | DDOT | $$$$ | 11:30am–10pm | 2025-05-28 14:01 | |
| 05 | In-N-Out Burger — Strip | American Burgers | Las Vegas, NV | 8,919 | Direct Only | $ | 10:30am–1am | 2025-05-28 12:44 | |
| 06 | Nobu — Downtown LA | Japanese Fusion | Los Angeles, CA | 3,388 | UEOT | $$$$ | 12pm–11pm | 2025-05-28 11:30 | |
| 07 | Sweetgreen — SoHo | Healthy Salads | New York, NY | 1,774 | DDUE | $$ | 10am–10pm | 2025-05-28 14:05 | |
| 08 | Pappadeaux Seafood Kitchen | Cajun Seafood | Houston, TX | 6,112 | DDGH | $$$ | 11am–11pm | 2025-05-28 13:40 | |
| 09 | Eataly — NYC Flatiron | Italian Market | New York, NY | 9,041 | ICUE | $$$ | 11am–11pm | 2025-05-28 13:22 | |
| 10 | Chick-fil-A — Buckhead | American Fast Food | Atlanta, GA | 5,209 | DDUE | $ | 6:30am–10pm | 2025-05-28 14:20 |
Our scrapers cover every major food data source in the US market — delivery platforms, review sites, grocery chains, and direct restaurant websites.
No scraping infrastructure to build or maintain. You define your USA scope — we handle the rest.
Select geographies (city, state, ZIP), restaurant categories, menu fields, and refresh frequency via the dashboard or API config file.
Our infrastructure crawls your selected sources, cleans the raw HTML, and normalizes all fields into a consistent schema across every data source.
Query structured JSON in real time via REST API, set up webhooks for change events, or pull bulk CSV and JSON exports on your own schedule.
Dashboard alerts you when menus change, prices shift, or new restaurants open in your coverage area. Adjust scope, filters, and refresh rates anytime.
FAQs
At WebFusionData, we specialize in cutting-edge web scraping solutions to help you unlock valuable insights and drive business growth. Whether you need custom data extraction, real-time monitoring, or large-scale web scraping, our team is here to assist you.
Ready to get started? Contact us for a personalized quote.
