Web scraping for AI
Use a resilient web scraping API to extract clean, AI-ready content from difficult URLs with browser rendering, layered fallbacks, precise selectors, and structured output.
WebSearchAPI.ai / Web Scraping API playground
Configure web scraping with full control
Scrape results and code examples
WebSearchAPI.ai Scrape API - Extract content with full control
Capabilities
Combine rendering, selectors, fallbacks, and output formats around the public page you need to process.
Render JavaScript-heavy pages and single-page applications before extraction.
Target the content you need with CSS selectors and remove repeated page chrome.
Return Markdown, HTML, plain text, or screenshots for the next processing step.
Include image information and generated alternative text when visual context matters.
Collect page links for discovery workflows, site maps, and knowledge-graph inputs.
Use request-level controls for pages that need a tailored extraction sequence.
Workflow
Choose the rendering engine and the output your application expects.
Use selectors and removal rules to keep the relevant content.
Pass the cleaned result to storage, retrieval, enrichment, or generation.
FAQ
Use search when you need to discover relevant pages for a query. Use the web scraping API when you already know the URL and need cleaned content or page-specific extraction controls.
Yes. The browser rendering mode is designed for pages whose meaningful content appears after client-side JavaScript runs.
Markdown or plain text usually minimizes cleanup for retrieval and generation workflows. Choose HTML when structural markup is part of your downstream logic.
Yes. Use the interactive workspace on this page with a URL you are allowed to access, then reproduce the request from the API documentation.
No. Unstoppable Web Scraping describes a resilient, fallback-driven extraction system. Authentication, paywalls, robots directives, legal restrictions, platform controls, and network conditions can still prevent extraction.
Search multiple engines and public communities, fetch the evidence, and return one ranked, model-ready result set.