We collect data on restaurants, cafes, and delivery: menus and prices from venue sites and aggregators, locations and chains on maps, reviews and ratings, coverage and promotions. Manage your menu, pricing, and reputation on market data.
In food service you compete on menu, price, and reputation across several platforms at once — we bring that picture together.
Competitors' menus and prices by city and platform — average check and menu items.
Presence on delivery platforms and storefronts, and menu completeness.
Venues and chains on maps, location openings and closings.
Reviews and ratings for each location — where the problems are and where you are strong.
Competitors' discounts and promotions on websites and delivery apps.
Mentions of brands and venues across the web and social media.
We capture menus, prices, locations, and reputation from venue websites, delivery platforms, maps, and review sites.
Menu composition, dishes, and descriptions by venue.
Item prices and promotions on websites and delivery platforms.
Venues and chains on maps, with addresses.
Scores and reviews from maps, review sites, and delivery apps.
Presence on delivery platforms and storefronts.
Mentions of brands and venues across the web.
A transparent process: a quote and a data sample before launch. Then collection, delivery in a convenient format, and support for the life of the project.
We define the venues, competitors, cities, and platforms.
We capture a trial sample of menus and reviews and agree on the fields.
We capture menus, prices, and reviews on schedule and log the changes.
We deliver the data plus notifications on negative reviews and price changes.
We have been collecting data for e-commerce and analytics since 2015. We stand behind data completeness, freshness, and stability — so you can base decisions on it.
Marketplaces, stores, directories, aggregators, maps, review platforms, and social media — we tailor the approach to each site.
Validation, deduplication, and completeness control — the feed never breaks silently.
Refreshes on a schedule — from a one-time export to hourly, with alerts on changes.
File, refreshed feed, API, or a ready-made web interface with filters and export.
A quote and a data sample before launch, a contract, and clear pricing with no hidden fees.
For food service businesses, these are the data scenarios we build most often — standalone or combined.
Menus, prices, and items across venues and delivery platforms.
Addresses and location openings and closings for chains.
Reviews and ratings from maps and review sites.
Businesses, contact details, and reviews from maps.
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Venue websites, delivery platforms (DoorDash, Uber Eats, Grubhub), maps, and review sites — virtually any public source. We agree on the list of platforms and cities for the task.
Yes — we collect competitors' menus and prices by city and platform and normalize them to a single structure for comparing items and average check.
Yes — reviews and ratings for every location from maps, review sites, and delivery apps, with sentiment tagging and alerts on negative feedback, so you can compare locations against each other.
Yes — we collect venues and chains from maps with addresses, categories, ratings, and contact details, and track location openings and closings.