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.
A 2026 view of AI shopping and web data scraping: how cross-marketplace data, freshness half-life, and licensing decide which AI shopping products actually work.
Read the blog
A 2026 technical guide to UPC/GTIN matching in US grocery data scraping: why naive matching fails, how private-label handling works, and what accuracy looks like.
Read the blog
How to build a US grocery price comparison app in 2026: data architecture, ZIP coverage, UPC matching, licensing, and grocery data scraping choices explained.
Read the blog
A 2026 guide to US grocery data scraping: why weekly circular pricing is the $2B blind spot in grocery apps and how to build meal-planning on real promo data.
Read the blogMulti-page reports drawn from our work tracking pricing, listings and availability across US retail and digital marketplaces.
A 2026 report on multi-country marketplace data scraping: Amazon EU/SA, Shopee TW/SG/PH, Mercado Libre LATAM, Kaufland.de, Allegro.pl — cross-border patterns.
Read the report
A 2026 report on US retail data scraping: how buyers redefined 'coverage' from chain-average to ZIP-level store-specific across 30+ live buyer briefs.
Read the report
A 2026 report on US grocery data scraping: 15+ launching comparison apps, retailer coverage patterns, ZIP granularity, licensing and pilot signals mapped
Read the report
Why marketplace price monitoring & repricing data became recurring revenue in 2026: SaaS economics, cadence tiers, ROI benchmarks and vendor selection.
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, handle blocking and scale.
Read the whitepaperDefine, measure and enforce quality on continuously refreshed web data.
Read the whitepaperSourcing and structuring public web data for LLM training, RAG and AI agents.
Read the whitepaperDetailed engagement examples covering the problem, the data we delivered, and the outcome.
A trading-card analytics platform needed daily US sold-price data matched by card identity, grade, and variant to power accurate valuations.
Read the case studyA US winery needed store-level pricing, promotion, and availability data for 8 wine SKUs across 10 retail chains.
Read the case study
A meal-planning app needed weekly promotional prices for 500 ingredients, including loyalty offers and purchase limits.
Read the case study
A US winery needed daily store-level pricing and distribution visibility for 8 wine SKUs across 15+ retail chains.
Read the case studyProduct updates, new platform coverage, partnership announcements and team news.
The fastest-growing demand for web data in 2026 is not pricing - it is feeding AI. Here is what that means.
Read issue
Rising seller competition on US marketplaces is making the Buy Box a moving target. What sellers should watch.
Read issue
Repricing in US retail happens faster than most teams assume. What that means for your pricing rhythm.
Read issueShort 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.
Share the URLs and fields you need. We'll respond with a sample schema, a fast estimate, and a pilot timeline.