Best of Other Specialty Retail Data Provider: 20 Cataloged
The 10 Best Other Specialty Retail Datasets in 2026
10 Other Specialty Retail Data Provider: 20 Cataloged picks, ranked on what's inside: field richness, coverage depth, fit for the job. Eurostat - European Statistical Office Data Portal leads.
- 10ranked picks
- 13documented fields on stage
- 2/4with mapped coverage
API, files, or your warehouse. Daily, weekly, or hourly.
Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.
- 1 9/10Other Specialty Retail Data Provider: 20 Cataloged
Eurostat - European Statistical Office Data Portal
- 2 9/10Other Specialty Retail Data Provider: 20 Cataloged 1961 to the most recent year available for…
FAOSTAT Food and Agriculture Statistics
further reshapes on request245+ countries and territories across all FAO regional groupings. Country-year-product-element rows.
- 3 Data.gov Retail Catalog
- 4 7/10Other Specialty Retail Data Provider: 20 Cataloged modified date rides on every row
Data.gov - Food-Tagged structured datasets Collection
further fields on request …+9 moreFourth because the dictionary is rich while the grain is not: these are index cards about datasets rather than rows about stores, which caps direct modeling.
data from string
- 5 FDA Recalls, Market Withdrawals Safety Alerts - Searchable Listings
- 6 National Retail Federation Research Insights Hub
- 7 Observatory of Economic Complexity - Meat Seafood Preparations Trade Profiles
- 8 Kaggle - World Food Facts
- 9 Nutritionix Natural Language Grocery API
- 10 6/10Other Specialty Retail Data Provider: 20 Cataloged
Edamam Food Database API
Tenth among equals: the parsing layer is genuinely differentiating, but eight documented fields per resolved item is the thinnest dictionary in this ranking.
Frequently asked questions
What is the single best other specialty retail dataset?
For market comparison, Eurostat: monthly NACE G47 turnover and volume indices across 41 geographies from January 1991, eight fields per observation. For shelf truth, Nutritionix: 1,053,256 barcoded grocery items across 48,317 brands. Pick by whether you measure markets or products.
Which dataset tracks European retail sales by country?
Eurostat's short-term statistics: monthly turnover and volume indices covering EU27 member states, EFTA members Norway, Switzerland, Iceland and Liechtenstein, and candidate countries. Every geography is measured on one questionnaire, which is what makes a Berlin-versus-Lisbon comparison legitimate. The pooled ONS reference tables add Great Britain's store-type splits.
Where can I find company-level rankings of US specialty retailers?
The NRF Research & Insights Hub ranks about 125 US companies per year through the Kantar-compiled Top 100 and Hot 25, carrying rank, headquarters, prior-year US sales, growth and US-share columns per row, plus the Top 50 Global Retailers worldwide and twelve monthly Retail Monitor readings between editions.
Which dataset resolves grocery UPCs to nutrition fields?
Two shelves do it at scale. Nutritionix maps 1,053,256 barcoded grocery items across 48,317 brands on a sixteen-field spine with nix_item_id surviving renames; Edamam resolves close to 1,000,000 items through roughly 790,000 barcodes with diet, allergy and nutrition labels generated onto results. Test your own barcodes in the sample.
Which other specialty retail dataset reaches furthest back?
FAOSTAT, to 1961, across 245+ countries and territories in one uniform country-product-element-year shape. Eurostat's monthly retail indices begin in January 1991 - still 424 consecutive months. Among company records, NRF's 4-5-4 calendar archive reaches to the 2009-2011 cycle and its ranking editions to roughly 2020.
How is the data delivered?
As typed rows with the field dictionary and coverage statement attached - daily, weekly, or hourly, your call. Records land in your warehouse, your files, or whatever channel your stack already speaks, with missing-value markers preserved as markers rather than coerced zeros. A scoped sample cut to your markets and brands goes first.