We extract real-time pricing, availability, menus and reviews from quick-commerce, food delivery, grocery and e-commerce platforms — and deliver clean, structured, AI-ready feeds your team can plug straight into dashboards, AI agents, RAG pipelines and models.
Category managers, pricing analysts and growth teams use our feeds to track competitors hour by hour — not quarter by quarter.
Hyperlocal SKU-level pricing, stock-outs, delivery fees and promo tracking across pin codes and store zones.
Full menu data with item-level pricing, delivery charges, ratings and review streams across delivery platforms.
Catalog-scale product data — pricing history, buy-box, seller info, reviews and inventory across marketplaces.
Flight fares, hotel rates, room availability and traveller reviews across OTAs and booking platforms.
The fastest-growing demand in web data is AI — training corpora, agent feeds and AI search visibility. We build for all three.
Clean, deduplicated, documented web corpora for training and fine-tuning — with full source provenance and EU AI Act-ready compliance documentation.
Provenance docsPII-scrubbedCustom corpora // REAL-TIMEFresh, structured data streams your AI products consume at runtime — pricing agents, research agents and RAG pipelines that can't run on stale data.
Streaming APIWebhooksMCP server // AI SEARCHTrack how your brand and products appear in ChatGPT, Perplexity and Google AI Overviews versus competitors — the new search rankings.
Brand mentionsCitation trackingCompetitor share // FINANCEWeb-derived signals for funds and analysts — SKU velocity, pricing momentum, store expansion, hiring trends — delivered as research-ready time series.
Point-in-timeBacktest-readyNDA-first // DASHBOARDA live dashboard, not a CSV — share-of-search, content compliance, ratings, availability and price position across every retailer that matters to you.
Monthly subscriptionAlertsExec reports // MANAGEDFully managed custom extraction at any scale — dynamic sites, mobile apps and anti-bot-protected sources, run on our infrastructure with SLAs.
Custom projectsMobile appsSLA-backedPre-collected, refreshed and QA-verified datasets — delivered the same day for popular platforms.
Pricing, reviews, rankings and inventory from Amazon, Walmart, Target, Shopee & more.
Explore dataset → // GROCERYSKU pricing and availability across Kroger, Tesco, Instacart, Woolworths and more.
Explore dataset → // FOODMenus, dish prices and ratings from Uber Eats, DoorDash, Deliveroo, Talabat.
Explore dataset → // QCOMMBlinkit, Zepto and Instamart — hyperlocal, pin-code-level price snapshots.
Explore dataset → // REALTYListings, price trends and demographics for investment-grade analysis.
Explore dataset → // TRAVELFlight schedules, hotel rates and booking patterns across OTAs.
Explore dataset → // LOCATIONStore locations, POI and footprint data for site selection and market mapping.
Explore dataset → // COMPANYFirmographic and store-location data for market research and GTM teams.
Explore dataset →A real pilot with your actual data — before you commit to anything.
We sign an NDA first, then map exactly which platforms, fields and geographies you need.
You receive a free sample dataset in your format — CSV, JSON, API or direct-to-warehouse.
A scoped pilot with our QA accuracy report, so you validate quality on real volumes.
Scheduled feeds with monitoring, SLAs and a dedicated account engineer.
Boots.com Review Data Collection for Health and Beauty Product Sentiment, Customer Feedback, Competitive Benchmarking, and eCommerce Intelligence
Product content monitoring system in Python improves digital shelf accuracy through automated validation, change detection, and retailer intelligence.
MAP violation detection helps brands monitor retailer prices, identify unauthorized discounts, protect pricing strategies, and strengthen channel compliance.
The pilot sample arrived in two days and matched our internal data with higher coverage than our previous vendor. The QA report with every delivery is what won our data team over.
We moved from weekly manual checks to hourly automated feeds across three quick-commerce apps. When a source app changed its layout, the feed was fixed before our morning standup.
Clean JSON straight into BigQuery, documented schema, and an engineer who actually replies. Exactly what a data vendor relationship should look like.
Their menu intelligence feed covers more restaurants in our cities than any provider we benchmarked, and the accuracy numbers they quote are the accuracy numbers we measure.
A web data scraping service collects publicly available information from websites and apps — such as product prices, stock availability, menus and reviews — and delivers it as clean, structured datasets. iWeb Data Scraping operates managed extraction pipelines that crawl 30M+ pages daily, run QA checks for 99.4% field-level accuracy, and deliver feeds via CSV, JSON, API or directly into your data warehouse.
A free sample dataset is delivered within 48 hours of your requirement call. Production feeds typically go live within two weeks, with hourly, daily or weekly refresh schedules.
We collect only publicly available data, respect platform rate limits, and operate under ISO 9001 and ISO 27001 certified processes. Every engagement starts with a signed NDA.
CSV, Excel, JSON, REST API, S3/GCS buckets, or direct delivery to Snowflake, BigQuery and other warehouses — whatever fits your stack.
Yes — our pipelines render dynamic pages and extract from mobile apps where data is publicly accessible, with anti-blocking infrastructure managed entirely on our side.
Pricing depends on platforms, fields, refresh frequency and volume. Pilots start small so you can validate ROI before scaling — ask for a quote with your sample.
Every delivery ships with a field-level QA report. Sampling, validation rules and anomaly checks run on every batch — you see the accuracy number before your team does.
Public data only, ISO-certified processes, NDAs by default, and respectful crawling that protects your brand as much as ours.
No ticket queues. A named engineer owns your pipeline, monitors feed health and responds when a source site changes — usually before you notice.
CarDekho vs BikeWale India Auto Listings Data Scraping: Automotive Listings, Pricing, Images, Market Gaps, Trends, Density & Competitive Intelligence 2026
Attendee & Event Data Intelligence Report 2026: Conference Trends, Market Gaps, Competitive Insights, Lead Generation, Expansion & Growth Opportunities
Keyword-Based SKU Monitoring on Swiggy Instamart: Pricing, Availability, Assortment, Competitive Intelligence, Market Gaps, and Expansion Trends
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Price & Promo Monitoring
Availability & Stock-out Tracking
Menu & Catalog Intelligence
Location & Store Intelligence