Built around your decision
We map sources and fields to a real workflow - from market research to product, risk, AI, and revenue operations.
A global enterprise data collection partner serving US and international teams with structured web data, AI-ready datasets, competitive market data, and real-time pipelines.
Collecting pages is only the beginning. We define the right fields, build resilient extraction workflows, validate every delivery, and keep your data flowing as source websites change.
We map sources and fields to a real workflow - from market research to product, risk, AI, and revenue operations.
Automated checks and human QA help keep records complete, consistent, and ready for analysis.
We monitor source changes, extraction health, freshness, and delivery so your team does not inherit crawler maintenance.
From a focused dataset to a high-volume, always-on pipeline, choose the delivery model that fits your team and use case.
Managed extraction of clean, structured data from public websites at the cadence your operation requires.
Explore service →Resilient, monitored crawling infrastructure for complex sources, broad coverage, and large-scale collection.
Explore crawling →Reliable data access designed to integrate with your products, analytics stack, and internal workflows.
Explore the API → HotAdaptive extraction for dynamic, varied, or fast-changing pages where rigid rules create maintenance drag.
Explore AI scraping →Fresh web data captured on demand for time-sensitive search, availability, and monitoring use cases.
Explore live crawling →A fully tailored dataset and delivery workflow based on your sources, fields, quality rules, and systems.
Plan a custom feed → NewCurated, structured, and traceable web datasets for model training, evaluation, enrichment, and RAG.
Explore AI data →Structured Android and iOS app data for commerce, delivery, mobility, travel, local, and market research teams.
Explore app data →Turn scattered web information into structured inputs for faster, more confident business decisions.
Track product attributes, offers, promotions, seller activity, assortment, and availability across markets.
Measure category presence, organic and sponsored placement, share of search, and content consistency.
Collect ratings, review text, sentiment signals, and recurring themes across products, brands, and locations.
Build location-level datasets covering listings, services, amenities, geo attributes, and market coverage.
Structure public company, hiring, directory, professional, event, and industry information for research.
Create normalized datasets that move cleanly into dashboards, models, knowledge systems, and workflows.
Explore KVETOIQ's dedicated scraping services for leading global marketplaces and storefronts. Each page explains the available fields, use cases, delivery options, and managed collection approach for that platform.
Discuss Your Platform List →Products, prices, sellers, reviews, rankings, and availability.
Products, stores, pickup, delivery, offers, and stock signals.
Store catalogs, collections, variants, inventory, and brand data.
Products, shops, sellers, creators, engagement, and commerce trends.
Listings, prices, sellers, ratings, reviews, and availability.
Listings, auctions, sellers, pricing, condition, and shipping data.
Products, shops, prices, reviews, variations, and search position.
Electronics catalogs, prices, offers, specifications, and stock.
Furniture catalogs, variants, pricing, reviews, and availability.
Products, suppliers, minimum orders, pricing, and trade details.
Products, stores, pricing, shipping, reviews, and promotions.
Listings, merchants, prices, discounts, ratings, and delivery data.
Technology products, specifications, sellers, pricing, and stock.
Need data from another marketplace, retailer, directory, or application? KVETOIQ can scope a custom source list around your requirements.
Purpose-built data workflows help commercial, brand, ecommerce, and strategy teams act on the market - not manually assemble it.
Monitor market changes, promotions, seller activity, and product-level movements across selected sources.
Explore solution →Identify potential advertised-policy exceptions and give teams a clear, evidence-ready review queue.
Explore solution →Understand availability, content quality, discoverability, ratings, and assortment across digital shelves.
Explore solution →Measure brand and product visibility for the keywords and categories that shape customer discovery.
Explore solution →Connect equivalent listings across retailers and marketplaces with normalized attributes and confidence rules.
Explore solution →Surface unauthorized sellers, listing inconsistencies, potential misuse, and marketplace risks at scale.
Explore solution →Each engagement starts with the business context - the sources, terminology, update cycles, and quality checks your team actually needs.
E-commerce & RetailCatalog and shelf performance
Grocery & FMCGLocal inventory and assortment
Travel & HospitalityListings, demand, and availability
Food & RestaurantsMenus and delivery marketplaces
Finance & LegalPublic market and regulatory data
Healthcare & PharmaProducts, providers, and research
Real Estate & LocalProperty and location data
Automotive & MobilityVehicles, parts, and local markets
Media & EntertainmentCatalogs, audience, and releases
Emerging IndustriesCustom sources and new markets
Kvetoiq helps AI companies and enterprise data teams turn public web sources into normalized, traceable datasets for training, evaluation, retrieval, enrichment, and knowledge applications.
A focused process reduces ambiguity early, proves the output, and creates a dependable workflow your team can build on.
Align on decisions, sources, fields, coverage, cadence, and acceptance criteria.
Review representative records and refine the schema before the full workflow is built.
Develop extraction, normalization, validation, monitoring, and delivery.
Send data where it belongs and keep the pipeline healthy as sources change.
We combine collection engineering, data quality, business context, and ongoing support in one accountable engagement.
Choose a practical format and destination for analysis, applications, data warehouses, models, dashboards, or operational workflows.
A growing delivery footprint shaped by real extraction, validation, monitoring, and reporting requirements.
The strongest data partnerships are measured by clarity, reliability, responsiveness, and whether the output improves real work.
“Kvetoiq helped us streamline competitor monitoring with reliable, well-structured ecommerce data. Their solution has become an important part of our pricing strategy.”
“The quality and consistency of the data exceeded our expectations. Their team understood our requirements and delivered a solution tailored to our business.”
“Working with Kvetoiq gave us better visibility into marketplace trends and competitor activity. The insights have improved our decision-making process.”
“Their custom data delivery saved our team countless hours. We now receive accurate ecommerce data exactly how we need it.”
“Kvetoiq provided a scalable solution that integrated seamlessly into our analytics workflow. The data quality has been consistently reliable.”
We can handle source assessment, field and schema design, extraction, normalization, validation, delivery, monitoring, and ongoing maintenance. The exact workflow is shaped around your sources, use case, coverage, and update needs.
Yes. We build custom workflows for public websites and apps, including JavaScript-rendered experiences and sources that change frequently. Feasibility is confirmed during scoping and through representative sample data.
We define acceptance criteria, validate field completeness and types, normalize records, check for anomalies and duplicates, and monitor extraction health. Quality controls are tailored to how your team will use the data.
Yes. Workflows can be designed for scheduled batches, recurring refreshes, on-demand requests, or time-sensitive monitoring where the selected source and use case support it.
We support ecommerce, grocery, travel, food, finance, healthcare, real estate, automotive, media, and emerging industries across major marketplaces, storefronts, directories, apps, and other public web sources.
Every project is scoped around public data, legitimate business use, proportionate collection, and applicable source and compliance considerations. We encourage customers to involve their legal team where a use case requires specific guidance.
In many cases, yes. A representative sample helps confirm feasibility, schema, coverage, and quality expectations before the production workflow is finalized.
Yes. Depending on your workflow, delivery can include flat files, APIs, webhooks, cloud storage, databases, warehouses, and analytics-ready formats.
Share your target sources, fields, and business outcome. We will help you map the clearest path from public web data to usable business data.