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Use Web Scraping, Enterprise Crawling, Live Crawler, App Scraping, or Ecommerce Data Scraping based on the source and freshness requirement.
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Managed web data servicesWeb Data Services Built for Real Business Decisions
Choose the right Kvetoiq service for website collection, large-scale crawling, APIs, AI-assisted extraction, ecommerce data, mobile apps, or custom data workflows. We manage the pipeline from requirement to delivery.
✓Custom data schemas✓Managed infrastructure✓Project-defined validation✓Flexible delivery
200+Clients Served
45+Markets Covered
250M+Records Processed
120+Platforms Mapped
98.7%QA Benchmark
Nine specialist services
Choose a focused service, then combine capabilities only where the workflow needs them.
This page is the service hub. Each card introduces the right starting point and links to a dedicated page for full technical depth, use cases, delivery options, and FAQs.
Web Scraping Services
Managed extraction of selected website data with normalization, validation, maintenance, and structured delivery.
- Custom fields and schemas
- One-time or recurring collection
- Managed maintenance
Enterprise Web Crawling
Large-scale crawling across complex source sets, deep site structures, and multi-market environments.
- Broad source coverage
- Distributed crawl workflows
- Source monitoring
Web Scraping API
Programmatic access to rendered pages or structured fields for products, applications, and internal systems.
- Request-based collection
- Structured JSON outputs
- Application integration
AI-Powered Scraping
Adaptive extraction and enrichment for complex content that benefits from classification, matching, or AI-assisted processing.
- Adaptive extraction
- Entity and product matching
- Custom enrichment
Live Crawler Services
Fresh, scheduled, or change-triggered collection for workflows where timing affects the business decision.
- On-demand collection
- Scheduled refreshes
- Change detection
Custom Data Extraction
Purpose-built extraction for unique sources, schemas, transformations, rules, and delivery requirements.
- Multi-source datasets
- Custom business rules
- Specialized integrations
AI Training Data Services
Traceable, model-specific datasets for machine learning, LLM, RAG, evaluation, and continuously updated AI systems.
- Dataset specification
- Lineage and versioning
- Model-ready delivery
App Scraping - Android & iOS
Structured collection from eligible public mobile application sources when equivalent web data is incomplete or unavailable.
- Android and iOS sources
- App-specific schemas
- Scheduled delivery
Ecommerce Data Scraping Services
Managed ecommerce and marketplace data collection for product, pricing, seller, catalog, review, and availability workflows.
- Product and catalog data
- Pricing and availability
- Seller and marketplace signals
Service selector
Start with the service that matches your primary requirement.
Projects can combine capabilities, but one page should own the main intent. Use this table to choose the best starting point.
| Your primary requirement | Best starting service | Typical use |
|---|---|---|
| Managed website data extraction | Web Scraping Services | Selected fields, recurring datasets, managed delivery |
| Large or complex source coverage | Enterprise Web Crawling | Broad crawling, scale, monitoring, maintenance |
| Application-level data requests | Web Scraping API | Software products, internal tools, programmatic access |
| Adaptive extraction or enrichment | AI-Powered Scraping | Complex content, matching, classification, enrichment |
| Fresh or change-triggered records | Live Crawler Services | On-demand collection, scheduled refreshes, alerts |
| Unique sources and business rules | Custom Data Extraction | Special schemas, transformations, integrations |
| Model-ready datasets | AI Training Data Services | ML, LLM, RAG, evaluation, versioned datasets |
| Eligible mobile application data | App Scraping | Android and iOS public application sources |
| Ecommerce and marketplace data | Ecommerce Data Scraping Services | Products, prices, sellers, catalogs, reviews, stock |
How the service architecture fits together
Collect, transform, and deliver without forcing every project into the same model.
Kvetoiq can combine specialist services behind one workflow. The dedicated service page remains the primary source of technical detail for each capability.
Transform
Apply normalization, custom extraction, matching, classification, AI-assisted enrichment, and project-defined validation where required.
Deliver
Send approved outputs through files, APIs, webhooks, cloud storage, databases, warehouses, or custom integrations.
Choose by business outcome
Need an outcome rather than a collection method?
If your requirement starts with a business decision such as pricing, digital shelf visibility, matching, or brand monitoring, start with a Kvetoiq solution instead of a technical service.
Monitor Prices
Track selected prices, promotions, sellers, availability, and changes across relevant sources.
Explore Price Monitoring →Measure the Digital Shelf
Analyze availability, content, assortment, ratings, visibility, and marketplace conditions.
Explore Digital Shelf Analytics →Match Products
Connect exact, similar, and variant products across retailers and marketplaces.
Explore Product Matching →Business solutions
Explore Kvetoiq solutions built on top of managed web data.
Services describe how data is collected and delivered. Solutions organize those capabilities around a measurable commercial workflow.
MAP Violation Alerts
Detect potential advertised-price exceptions and create evidence-backed review queues.
Explore solution →Share of Search
Observe selected search positions, presence, competitors, and category visibility.
Explore solution →Brand Protection
Monitor selected listings, sellers, content, pricing signals, and marketplace evidence.
Explore solution →Data sources
Need data from a specific platform or website?
Use the Data Sources hub to explore platform-specific coverage. It is the primary directory for Amazon, Walmart, TikTok Shop, eBay, Etsy, Airbnb, Google Maps, Zillow, Indeed, Target, Costco, and other supported sources.
Industry coverage
Web data services shaped around each market’s sources and decisions.
Industry requirements differ in source behavior, entities, fields, freshness, quality rules, and downstream use.
E-commerce & Retail
Products, sellers, prices, content, reviews, availability, and digital shelves.
Explore industry →Grocery & FMCG
Assortment, pack sizes, promotions, delivery availability, and local market signals.
Explore industry →Travel & Hospitality
Properties, rates, routes, schedules, amenities, reviews, and availability.
Explore industry →Food & Restaurants
Menus, locations, items, promotions, reviews, and delivery-market records.
Explore industry →Finance & Legal
Public filings, notices, publications, market events, and company and market data.
Explore industry →Healthcare & Pharma
Eligible public product, trial, publication, provider, and research records.
Explore industry →Real Estate & Local
Listings, properties, agents, amenities, locations, prices, and status changes.
Explore industry →Automotive & Mobility
Vehicles, listings, rentals, routes, parts, availability, and mobility signals.
Explore industry →Media & Entertainment
Titles, catalogs, releases, rankings, engagement, reviews, and public metadata.
Explore industry →Quick Commerce
Rapid-delivery products, local assortments, pricing, offers, and availability.
Explore industry →Emerging Industries
Custom public-source datasets for AI, SaaS, research, and new digital markets.
Explore industry →How Kvetoiq works01 02 03 04 05
Validate the requirement before scaling the pipeline.
A focused process aligns the data, engineering, quality, and delivery expectations early.
Define Requirements
Confirm sources, fields, volume, cadence, purpose, and destination.
Validate Sources
Assess representative targets, availability, behavior, and feasibility.
Design Pipeline
Build collection, schema, normalization, validation, and delivery.
Review Sample
Confirm record structure, exceptions, quality rules, and output.
Launch & Maintain
Monitor production, manage source changes, and refresh as required.
Managed delivery
A service relationship that includes quality controls and ongoing maintenance.
The exact validation, monitoring, and maintenance model is defined for the selected service and project requirements.
Project-Defined Validation
Agree required fields, types, formats, exceptions, and business rules before scaling.
Operational Monitoring
Monitor source behavior, collection failures, missing fields, and delivery exceptions where required.
Managed Maintenance
Investigate source and structural changes that affect approved production workflows.
Delivery options
Receive structured outputs in the format your team already uses.
Available delivery depends on the selected service, data volume, cadence, receiving system, and project requirements.
CSVExcelJSONJSONLParquetAPIWebhookCloud StorageDatabaseData Warehouse
Responsible data collection
Scope the sources, fields, controls, and intended use before launch.
Kvetoiq assesses public-source availability, necessary fields, source conditions, proportional request controls, privacy considerations, retention, and delivery requirements. Project-specific legal questions should be reviewed by qualified counsel.
Review Privacy Policy →✓Public-source and feasibility assessment
✓Necessary-field and purpose limitation
✓Source-aware request controls
✓Privacy, retention, and delivery requirements
✓Documented assumptions and limitations
✓Project-specific review where appropriate
Frequently asked questions
Choosing the right Kvetoiq web data service.
What are Kvetoiq web data services?
Kvetoiq web data services cover managed collection, crawling, extraction, APIs, AI-assisted processing, mobile application data, ecommerce data, custom workflows, and AI training datasets. Each dedicated service page explains the relevant technical model in more detail.
Which service should I choose for managed website data extraction?
Start with Web Scraping Services when you need selected fields from eligible websites delivered as structured data without managing the scraping infrastructure internally.
When should I choose Enterprise Web Crawling instead?
Enterprise Web Crawling is better suited to large, complex, deep, or recurring source sets where broad discovery, scale, monitoring, and crawl maintenance are central requirements.
When is the Web Scraping API the right option?
Use the Web Scraping API when an application, software product, or internal system needs to request rendered or structured web data programmatically rather than relying only on scheduled batch delivery.
What is Ecommerce Data Scraping Services for?
It is designed for ecommerce and marketplace workflows involving product, catalog, price, seller, review, availability, promotion, and related commercial data.
Can Kvetoiq combine multiple services in one project?
Yes. A project can combine collection, crawling, APIs, AI-assisted enrichment, validation, change detection, and custom delivery while keeping one primary service as the operational starting point.
Where can I see supported websites and platforms?
Use the Data Sources hub to explore platform-specific pages for marketplaces, retailers, travel sources, local data, job platforms, real estate sources, and other supported websites.
Can I review sample records before production?
In many projects, representative sample records can be used to confirm source coverage, fields, schema, quality rules, exceptions, and delivery format before scaling.
Start with the requirement
Not sure which data service fits your workflow?
Share your target sources, fields, expected volume, refresh requirements, and delivery destination. Kvetoiq will recommend a practical service architecture and the best place to begin.