USA AI Web Data Scraping Resource Guides & Price Analytics
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.
In-depth blogs on US web data trends.
Multi-page blogs drawn from our work tracking pricing, listings and availability across US retail and digital marketplaces.
Scraping US Grocery Store Locations: ShopRite, Smart & Final, Meijer & Beyond
How to scrape US grocery store locations - ShopRite, Smart & Final, Meijer & more - into a geocoded dataset, with sample data and pitfalls, via webdatascraping.us.
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Powering a Repricing Engine with Live US Marketplace Data (Amazon, Walmart & SHEIN)
How to power a repricing engine with live US marketplace data from Amazon, Walmart & SHEIN - architecture, sample data, and pitfalls, via webdatascraping.us.
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Reducing Food Waste with AI: Using Grocery Pricing, Expiry & Markdown Data
How AI cuts grocery food waste using pricing, expiry and markdown data - what to capture, sample data, and models, via webdatascraping.us.
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Building a US Restaurant Demand Dataset from OpenTable Reservation Signals
How to build a US restaurant demand dataset from OpenTable reservation-availability signals - fields, sample data, and research uses, via webdatascraping.us.
Read the blogIn-depth reports on US web data trends.
Multi-page reports drawn from our work tracking pricing, listings and availability across US retail and digital marketplaces.
US Real-Time Grocery Price Data Scraping 2026: How Live Are Walmart, Kroger, Target & Meijer Prices?
2026 report on how live US grocery prices are at Walmart, Kroger, Target & Meijer - price-change frequency, freshness & grocery price data scraping samples.
Read the reportUS Restaurant Reservation Data Scraping 2026: What OpenTable Availability Reveals by City
2026 restaurant reservation data scraping report - what public OpenTable availability reveals about US dining demand by city, from public web data.
Read the reportUS Marketplace Price Scraping 2026: Repricing & Volatility Across Amazon, Walmart & SHEIN
2026 marketplace price scraping report on repricing & price volatility across Amazon, Walmart & SHEIN - how often prices change, from public web data.
Read the reportUS Hotel Rate Data Scraping 2026: OTA Price Variation Across Chains & Cities
2026 hotel rate data scraping report on US OTA price variation - how the same room varies across channels and cities, from public web data.
Read the reportTechnical whitepapers for data teams.
Deeper, methodology-focused papers on how we build, validate and deliver web data at scale.
Designing a Resilient Web Scraping Pipeline
Architecture patterns for pipelines that survive site changes, handle blocking and scale.
Read the whitepaperWeb Data Quality: A Practical Framework
Define, measure and enforce quality on continuously refreshed web data.
Read the whitepaperWeb Data for AI & LLM Training
Sourcing and structuring public web data for LLM training, RAG and AI agents.
Read the whitepaperHow US teams use our web data.
Detailed engagement examples covering the problem, the data we delivered, and the outcome.
Automated marketplace repricing with live competitor data
An ecommerce seller needed reliable competitor pricing across Amazon, Walmart, and SHEIN to automate repricing while avoiding inaccurate matches, stale data, and margin-eroding price wars.
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Competitor hotel rate monitoring across OTAs
A small online travel agency needed visibility into competitor hotel rates across multiple countries, booking channels, weekends, and room types to maintain competitive pricing and monitor rate parity.
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Restaurant demand intelligence from reservation availability
A university research team needed a consistent restaurant demand dataset across New York City to analyze dining trends and measure the impact of external events using publicly available reservation signals.
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Store-level grocery price comparison across multiple retail chains
A US grocery price-comparison app needed accurate, store-level pricing across multiple retail chains to help shoppers identify the cheapest basket in their local area while ensuring reliable cross-chain product matching.
Read the case studyCompany news and announcements.
Product updates, new platform coverage, partnership announcements and team news.
Demos, walkthroughs and explainers.
Short videos showing what our data looks like, how delivery works, and how teams use it day to day.
What our pricing data looks like
A 2-minute walkthrough of a typical daily competitor price dataset.
Watch the videoFrom request to data in 3-7 days
How a typical engagement runs from first call to live feed.
Watch the videoAPI delivery in action
How clients query our REST API endpoints from their systems.
Watch the videoVisual summaries of web data trends.
One-page visuals on pricing, marketplace and delivery trends across US markets.
Anatomy of a Buy Box
How the Buy Box is decided and what data captures it.
View the infographicHow often US retail prices change
A visual look at price-change frequency by category.
View the infographicThe web data stack
From collection to delivery — every layer of a managed data pipeline.
View the infographicConversations on web data and US markets.
Short 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.
Want the data behind these resources?
Tell us your target sites and fields, and we will return a validated sample dataset within one business day.