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Web Fusion Data
Live restaurant intelligence
Web Fusion Data's food scraper pulls structured restaurant, menu, review and availability data straight from the platforms diners order from — refreshed on your schedule, delivered in the format your systems already use.
/ 01 — the basics
A food scraper is an automated system that visits restaurant and food ordering platforms, reads the restaurant, menu, review and availability information on them, and turns that raw page content into clean, structured data you can query, chart or feed into another system. Web Fusion Data runs this process continuously across the platforms and cities you choose, so the data in front of you is never more than a refresh cycle old.
Rotating IPs and locations reach restaurant pages the way a real diner searching nearby would.
A headless browser layer renders JavaScript so dynamically loaded menus, hours and delivery windows appear.
Page-specific parsers pull out restaurant info, dishes, prices, ratings and delivery details field by field.
Records are deduplicated, type-checked and mapped to a consistent schema across every platform.
Structured datasets land in your API, storage bucket or database on the schedule you set.
/ 02 — capabilities
Built to handle the scale, speed and structure of modern food ordering platforms without breaking your pipeline.
Refresh cycles from every few minutes to daily, matched to how fast a menu or availability status actually changes.
Headless rendering captures menus, hours and delivery windows that only appear after page scripts run.
Pull results the way a diner would see them, filtered by city, postal code or delivery radius.
Link listings for the same restaurant chain across branches, cities and platforms into one record.
Set recurring jobs by restaurant list, cuisine or full city coverage — hourly, daily or on a custom cadence.
Map any platform's fields to your own schema so every source lands in one consistent table.
From a single city to national coverage, the same pipeline scales without a re-architecture.
Automated checks flag broken selectors, missing fields or menu anomalies before data reaches you.
/ 03 — coverage
Pre-built parsers for the ordering and discovery platforms diners already use, plus the ability to onboard any restaurant site you name.
/ 04 — output
One crawl, six ready-to-use datasets — pick the ones that feed your workflow.
Names, cuisines, locations, photos and platform listings for every restaurant tracked.
Dish names, categories, prices and portion details across the full menu.
Star ratings, review volume, review text and sentiment-ready fields per restaurant.
Delivery fees, minimum order values, estimated times and platform-level metadata.
Open/closed status, operating hours and temporary closures at branch level.
Full cuisine and dish-category mappings for trend and assortment analysis.
/ 05 — schema
/ 06 — schema
/ 07 — schema
/ 08 — schema
/ 09 — availability
Open, busy and closed signals refresh on the same cycle as menu data, so a status change shows up before it shows up as a missed order.
Live open/closed flag plus current wait-time signal where the platform exposes one.
Configurable delay thresholds trigger alerts when order times run longer than usual.
Regular operating hours, holiday hours and temporary closures at branch level.
/ 10 — delivery
/ 11 — applications
Compare dish pricing across competitors and cities to guide menu decisions.
Track menus, ratings and delivery performance across every nearby competitor.
Benchmark delivery speed and fees across platforms and neighborhoods.
Spot rising cuisines, dish categories and dietary trends across a city or region.
Turn raw review text into structured sentiment signals for food and service quality.
Assess cuisine density and pricing gaps before opening a new location.
Power discovery and comparison apps with a constantly refreshed restaurant feed.
Track dietary labeling and allergen disclosures across menus at scale.
/ 12 — the case for us
Web Fusion Data is built for teams who need restaurant and menu data they can build a pricing, expansion or research decision on — not just a spreadsheet export.
/ 13 — questions
We collect only publicly available page data, respect platform terms where required, and apply rate limits designed not to disrupt the source site. We're glad to walk through the specifics for your use case before you start.
Refresh cycles range from under an hour for availability and delivery signals to daily for menu and restaurant-level attributes, set per project based on how quickly that data actually changes.
Yes. A headless rendering layer executes page scripts before extraction, so menus, hours and delivery windows loaded dynamically are captured correctly.
JSON, CSV and XLSX exports, a REST API, webhooks, direct cloud storage delivery, or a push straight into your database or warehouse.
Rotating IP pools, browser fingerprint management and adaptive crawl pacing are built into every job, with a dedicated team monitoring for new blocking patterns.
Yes, custom parser builds are part of the service. Send us the platform and the fields you need and we'll scope the build.
Yes, request a sample dataset for your city and cuisine of choice before committing to a plan.
Ready when you are
Tell us the platforms, cities and fields you need — Web Fusion Data will scope a crawl and send back a sample dataset within one business day.