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/Index/Food Data Scrape/A commercial food-data scraping operation with three licensable layers:
FD

A commercial food-data scraping operation with three licensable layers:

FOOD DATA SCRAPEA5 · direct accessManage supplier listing

A commercial food-data scraping operation with three licensable layers: (1) the flagship US Fast-Food Price Tracker — a fixed core-menu basket (flagship sandwich, medium fries, medium drink, signature combo) tracked quarterly across 8 chains x 12 US metros at 3 sampled locations per chain per metro, indexed to a Q1 2025 baseline with chain-level and metro-level percentage change, documented item substitutions, and a measured ~28.6% spread between cheapest and most expensive metro; (2) standing datasets — a 500K+ outlet US restaurant database with menus and GPS records, restaurant POI data, chain location data for 200+ chains, grocery SKU and liquor/beverage datasets, 100+ datasets in CSV/JSON/Parquet refreshed weekly; (3) a live monitoring pipeline capturing prices, promotions, surge, delivery fees and ETAs across 60+ delivery and quick-commerce platforms in 40+ countries, at 220M+ pages crawled and 125TB transferred weekly, plus 1M+ reviews analyzed monthly.

Food Data Scrape/A commercial food-data scraping operation with three licensable layers:
SampleCoverage

Sample

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Coverage

Universe, instruments and categories.

Industry
RestaurantsData Processing & Outsourced Services
Instruments
equities
Categories
Open buyer room →
Alternative
Price
Supply Chain
Regions
USAPAC
Sample tickers
MCDSBUXYUMDPZCMGDASHUBERCOSTWMT
Dataset card
Type
not stated
Format
Tabular — CSV, JSON and Parquet dataset files, REST/JSON APIs with webhooks, scheduled daily/weekly/monthly feeds, always-on managed pipelines, plus white-label dashboards
Volume
220M+ pages crawled weekly and 125TB transferred weekly; 500K+ outlet US restaurant database with menus and GPS; 100+ ready datasets refreshed weekly; 1M+ reviews analyzed monthly; the price tracker itself yields roughly 8 chains x 12 metros x 3 locations x 4 basket items = about 1,150 priced observations per quarterly wave
Users
N/A — B2B scraping and dataset vendor with no consumer account layer; the stated buyer base is 500+ companies served
History
not stated
Update frequency
not stated
Growth
Active — price tracker updated quarterly at a stable URL with a changelog and a scheduled next update, weekly dataset refresh, several product lines flagged NEW or HOT (coffee and beverage, health and specialty diet, AI demand forecasting), and an expanding platform and country footprint
Launched
~2018-2020 (no founding date published; the operation is an established scraping house with a mature multi-vertical site architecture, an Our Story page, and a company profile consistent with a several-year-old Singapore-registered IT services firm rather than a recent startup)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Food Data Scrape has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling