01
Send a defined request
Provide a URL, output preference, rendering options, and extraction schema.
Home / Services / Web Scraping API
Developer-ready web data accessWeb Scraping API for Reliable, Structured Data
Send target URLs and extraction requirements through a straightforward API. Receive clean web content or structured records without maintaining browsers, routing, retries, and extraction infrastructure internally.
✓ REST-based integration✓ Structured JSON output✓ Managed infrastructure
Developer ReadyClear request-response model
JavaScript SupportModern page rendering
Structured OutputSchema-based JSON
Batch ProcessingMultiple URLs and jobs
Managed SupportIntegration guidance
The API, explained
What is a web scraping API?
A web scraping API accepts a target URL and instructions through HTTP, processes the page, and returns requested content or structured data.
Kvetoiq keeps rendering, routing, extraction, validation, retries, and monitoring outside your application code.
See API Capabilities →02
Let Kvetoiq process it
Managed infrastructure handles rendering, extraction, validation, and retries.
03
Use the response
Receive records, status, metadata, warnings, or webhook events.
Request lifecycle
One request. A controlled path to usable web data.
Give applications a predictable response without owning extraction infrastructure.
01Your applicationURL + instructions
02Authenticated requestKey + validation
03Routing and renderingHTTP + browser
04Extraction and normalizationFields + schema
05Quality checksRules + warnings
06Response or webhookJSON + metadata
API capabilities
Everything your application needs to turn websites into usable data.
Control speed, rendering, location, extraction, and delivery through one managed API layer.
⚡
Fast Request Processing
Optimized routing supports responsive data retrieval for time-sensitive applications.
- Synchronous requests
- Asynchronous jobs
- Priority handling options
LIVE
Real-Time Extraction
Collect current public-page content at request time instead of relying on stale stored results.
- Live page processing
- Fresh-request mode
- Collection timestamps
SH
Access-Challenge Handling
Managed routing, browser context, and request controls improve reliability on complex public sources.
- Adaptive request routing
- Browser fingerprint management
- Residential routing options
JS
JavaScript Rendering
Render dynamic React, Angular, Vue, and other JavaScript-heavy experiences in a managed browser.
- Headless browser rendering
- Wait-for conditions
- Scroll and interaction support
GEO
Geo-Targeted Requests
Request eligible localized content using the market context required by your use case.
- Country-level targeting
- Regional context
- City-level options
JSON
Structured JSON Output
Receive clean fields and nested records without building a separate HTML parser.
- Detected or defined schemas
- Custom field mapping
- Nested data structures
PDF
Screenshot & PDF Capture
Pair extracted data with visual evidence from eligible rendered pages.
- Full-page screenshots
- Custom viewports
- PDF capture options
⇢
Webhook Delivery
Push completed results to your endpoint for event-driven data pipelines.
- POST callbacks
- Retry-aware delivery
- Signature verification design
▦
Batch Processing
Group large URL sets into observable jobs and retrieve results asynchronously.
- Bulk URL submission
- Progress tracking
- Per-record status
KEY
Authenticated Sessions
Provide approved cookies or tokens when your authorized workflow requires session context.
- Cookie injection
- Bearer-token support
- Session continuity
MOB
Mobile Rendering
See eligible pages in mobile context when content, layout, or availability differs by device.
- Mobile user agents
- Device viewports
- Touch-oriented rendering
AI
AI-Assisted Extraction
Transform unstructured pages into useful fields, classifications, and enriched records.
- Field identification
- Sentiment enrichment
- Content classification
Simple integration
Express the result you need in one request.
This example is illustrative; production endpoints and parameters should follow final Kvetoiq API documentation.
Request API Documentation →Illustrative requestPOST /v1/extract
# Example request model curl -X POST https://api.kvetoiq.com/v1/extract -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{ "url": "https://example.com/product/123", "render": true, "output": "json", "schema": { "title": "string", "availability": "string", "rating": "number" } }'
Structured responseRequest identity Validation state Source metadata Recovery guidance
Make results easier to use and diagnose.
Request identity, source information, validation, metadata, and warnings improve traceability.
Correlate logs, retries, and downstream records.
Distinguish complete results from warnings.
Preserve URL, timestamp, and reference.
Decide whether to retry, correct, or escalate.
Illustrative JSON response200 completed
{
"request_id": "req_01J4K9F2",
"status": "completed",
"source_url": "https://example.com/product/123",
"data": {
"title": "Example Product",
"availability": "in_stock",
"rating": 4.7
},
"validation": { "status": "passed" },
"collected_at": "2026-07-19T14:42:31Z"
}Request models
Choose the right pattern for each application.
ModelBest suited forCompletion pattern
SynchronousFocused requests within a response window.Result returned directly.
AsynchronousComplex rendering or longer work.Job ID, polling, or webhook.
BatchMany URLs in one job.Per-record status and completion.
Scheduled triggerRecurring application refreshes.Your scheduler starts jobs.
WebhookEvent-driven completion.Event posted to your endpoint.
Inputs and outputs
Control the request. Receive the format you need.
01
Target & rendering
URL, rendering preference, timeout guidance, and page context.
02
Request context
Geography, headers, cookies, sessions, and metadata.
03
Extraction schema
Fields, types, nested objects, and required rules.
04
Delivery controls
Format, callback, batch settings, and destinations.
Structured JSONRaw HTMLRendered HTMLPlain TextMarkdownBatch CSVScreenshotPDF CaptureWebhook Payload
Reliability and observabilityRequest IDs Structured errors Job status Retry guidance Validation results Webhook status Source-change signals Delivery metadata
Know what happened on every request.
Correlate logs, retries, and downstream records.
Return machine-readable categories and messages.
Track queued, processing, completed, or failed work.
Separate temporary failures from configuration issues.
Report missing fields, mismatches, and warnings.
Track callback delivery and attempts.
Surface changes affecting consistency.
Preserve timestamps, URLs, and destinations.
Error framework
Make failures predictable and recoverable.
400Invalid request
Parameters or schema are malformed.
401Authentication failure
The key is missing or unauthorized.
422Unsupported request
The source or instruction cannot be processed.
429Request limit reached
Respect retry guidance and limits.
503Temporary source failure
A retryable condition prevented completion.
WEBHOOKCallback delivery failure
The event follows the configured retry policy.
API use cases
Build data products, intelligence platforms, and automated decision systems.
Connect current public web data to the applications and teams that need it.
↕
Price Tracking Applications
Build price-comparison tools, deal discovery products, and price-change alerts using current product and offer data.
Explore price monitoring →AI
LLM & RAG Pipelines
Supply retrieval systems with current public documents, catalogs, journals, filings, and domain-specific knowledge.
Explore AI training data →⌕
SEO & SERP Monitoring
Track rankings, snippets, People Also Ask results, local visibility, and competitor search presence by market.
Explore share of search →#
Social & Brand Monitoring
Collect public brand mentions, posts, hashtags, engagement signals, and creator activity for listening platforms.
Explore media data →▥
Market Intelligence Platforms
Feed dashboards, analytics portals, and competitive-intelligence products with structured, regularly refreshed data.
Explore custom extraction →⌂
Property Data Applications
Power listing aggregators, rent analysis, market research, and investment tools with current property information.
Explore real estate data →↗
Alternative Financial Data
Collect public signals such as hiring activity, product availability, company updates, and market changes for research.
Explore finance data →★
Review Aggregation & NLP
Aggregate ratings and reviews for sentiment analysis, topic extraction, product research, and competitive benchmarking.
Explore AI-powered scraping →✈
Travel & Hospitality Applications
Build fare, hotel, availability, review, and destination-intelligence products with current public travel data.
Explore travel data →◎
Lead Enrichment Workflows
Enrich approved CRM and research workflows using public company profiles, directories, locations, and business signals.
Explore custom extraction →◫
Food & Menu Data Products
Track menus, item availability, delivery fees, promotions, locations, and ratings across food-ordering platforms.
Explore restaurant data →+
Healthcare & Drug Intelligence
Structure eligible public drug, trial, provider, publication, and marketplace information for health-data products.
Explore healthcare data →Responsible API access
Programmatic collection, scoped with care.
Kvetoiq evaluates use cases around public availability, legitimate purpose, proportionate collection, source considerations, and intended use.
✓Public-source assessment
✓Controlled request behavior
✓Defined data handling
✓Source-specific guidance
Related services
Choose API access or managed collection.
⌘
Web Scraping Services
Managed extraction and delivery.
Explore →⌬
Enterprise Web Crawling
Recurring multi-source collection.
Explore →✦
AI-Powered Scraping
Adaptive dynamic-page extraction.
Explore →◉
Live Crawler
On-demand collection.
Explore →◇
Custom Data Extraction
Purpose-built datasets.
Explore →△
AI Training Data
Data for models and RAG.
Explore →▣
App Scraping
Public app data.
Explore →→
Integration Guidance
Plan sources, volume, and output.
Explore →Frequently asked questions
What developers ask about web scraping APIs.
What is a web scraping API?
It accepts a URL and instructions through HTTP, processes the page, and returns content or structured data.
How does it work?
The service validates, routes, renders, extracts, checks, and returns a response or webhook.
What can the Kvetoiq API return?
Depending on the final contract: JSON, HTML, text, Markdown, batch files, screenshots, captures, metadata, and events.
Can it render JavaScript?
Many modern JavaScript-rendered public pages can be assessed for browser-based processing.
Synchronous versus asynchronous requests?
Synchronous requests return directly; asynchronous requests return a job ID for polling or webhook completion.
Can I submit URL batches?
Batch processing can group URLs into one controlled job with per-record status.
How do webhooks work?
Kvetoiq posts a structured event to an approved callback endpoint when a job changes state or completes.
Which languages can use it?
Any platform capable of HTTPS requests, including Python, JavaScript, Java, Go, PHP, Ruby, and C#.
Can I request structured JSON?
Yes. A schema can define fields, types, nested objects, and validation rules.
How are failures returned?
Production integrations should receive structured codes, categories, request IDs, and retry guidance.
Can it support AI and RAG?
Yes. It can provide current public web content for retrieval, enrichment, context, and evaluation.
Can we test before production?
A technical test can confirm sources, rendering, schemas, errors, and request behavior.
Plan the integration
Connect your application to the web data it needs.
Share sources, request patterns, volume, rendering requirements, output schema, and architecture.