Reports, whitepapers, case studies, news, videos, infographics and podcasts on web data, price intelligence and market intelligence — for US retail, ecommerce and digital marketplace teams.
Multi-page blogs drawn from our work tracking pricing, listings and availability across US retail and digital marketplaces.
How to scrape US grocery store locations - ShopRite, Smart & Final, Meijer & more - into a geocoded dataset, with sample data and pitfalls, via webdatascraping.us.
Read the blogHow to power a repricing engine with live US marketplace data from Amazon, Walmart & SHEIN - architecture, sample data, and pitfalls, via webdatascraping.us.
Read the blogHow AI cuts grocery food waste using pricing, expiry and markdown data - what to capture, sample data, and models, via webdatascraping.us.
Read the blogHow to build a US restaurant demand dataset from OpenTable reservation-availability signals - fields, sample data, and research uses, via webdatascraping.us.
Read the blogMulti-page reports drawn from our work tracking pricing, listings and availability across US retail and digital marketplaces.
Our 2026 US grocery price index comparing Walmart, Kroger, Aldi, Publix & Costco on a standardized basket, by state - from public web data.
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Our 2026 report on Whole Foods' US store footprint and assortment - locations by region, assortment breadth and private-label share, from public web data.
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Our 2026 report on US grocery weekly promotions - how BOGO deals and discount depth vary by chain and region, from public web data.
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Our 2026 report on US quick commerce - Instacart vs Amazon Fresh pricing, markups, fees and coverage by metro, from public web data.
Read the reportDeeper, methodology-focused papers on how we build, validate and deliver web data at scale.
Architecture patterns for pipelines that survive site changes and scale to many sources.
DownloadHow to define, measure and enforce quality on a continuously refreshed dataset.
DownloadChoosing the right delivery model for your team's systems and decisions.
DownloadDetailed engagement examples covering the problem, the data we delivered, and the outcome.
A regional US grocery chain needed a rich, accurate product catalog for its ecommerce launch, requiring product images, descriptions, ingredients, nutrition facts, and dietary attributes across thousands of SKUs.
Read the case studyA public-health research team needed accurate grocery store location data across multiple US retail chains to identify food deserts and analyze healthy food accessibility using GIS-based mapping.
Read the case studyA US AI meal-planning startup needed accurate, store-level grocery pricing across major retailers to generate personalized meal plans and shopping lists based on users' preferred stores and budgets.
Read the case studyA US tire retailer needed reliable SKU-level competitor pricing across 15 markets to support pricing and margin decisions, while replacing an existing vendor without disrupting weekly reporting.
Read the case studyProduct updates, new platform coverage, partnership announcements and team news.
Announcing new platform support added to our standard coverage.
Read moreAn update to our delivery layer or dashboard offering.
Read moreCompany milestone or team announcement.
Read moreShort videos showing what our data looks like, how delivery works, and how teams use it day to day.
A 2-minute walkthrough of a typical daily competitor price dataset.
Watch the videoHow a typical engagement runs from first call to live feed.
Watch the videoHow clients query our REST API endpoints from their systems.
Watch the videoOne-page visuals on pricing, marketplace and delivery trends across US markets.
How the Buy Box is decided and what data captures it.
View the infographicA visual look at price-change frequency by category.
View the infographicFrom collection to delivery — every layer of a managed data pipeline.
View the infographicShort episodes with practitioners on how web data is used in retail, ecommerce, grocery and travel.
The first episodes are in production. Reach out if you would like to be a guest or be notified at launch.
Tell us your target sites and fields, and we will return a validated sample dataset within one business day.