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XCrawl
Zur Homepage : https://www.xcrawl.ai/
XCrawl turns web pages into LLM-ready JSON or Markdown for AI applications. It is a web data API for developers who need information from a single page or an entire website in a consistent, usable form. The idea is simple: collect public web information without building a separate scraping stack.
With the scrape operation, a developer can request one URL and receive Markdown, JSON, HTML, or a screenshot. Each output serves a different next step: readable text for an LLM, structured data for an application, source HTML for processing, or a visual capture of the page. XCrawl provides the selected representation while handling rendering and request infrastructure on its side.
When a task needs more than one URL, the crawl operation can visit a whole site and follow the depth and scope rules configured for that run. Scope rules help keep a crawl focused on the intended part of a domain, while depth controls how far it follows links. This supports use cases where a team needs a larger set of pages rather than a single response.
Mapping addresses a different need: XCrawl can map every URL on a domain so builders can see what pages exist before choosing which ones to collect. This discovery step is useful for organizing a site-wide content source or planning a focused crawl. It complements scraping a known page and crawling a set of pages with explicit scope.
XCrawl also returns structured results from Google, Bing, DuckDuckGo, and other search engines. Search supports query-based discovery alongside direct URL extraction, crawling, and mapping. A workflow can begin with a query, identify relevant public pages, and then use the other web-data operations as appropriate.
JavaScript rendering, proxy rotation, and retries are handled on XCrawl's side. Developers can focus on the data they need and how their application will use it, instead of maintaining browser workers, proxy pools, or retry logic. Keeping these capabilities behind one API makes the integration straightforward for AI builders.
To fit common engineering workflows, XCrawl provides SDKs for Python and Node.js, a command-line interface, an MCP server, and an n8n node. The same core web-data capabilities are available from application code, the terminal, compatible MCP clients, and n8n automations. Teams can choose the integration that fits their stack.
XCrawl is freemium, and new accounts start with 1,000 free credits. The free starting allowance lets developers evaluate the API on their own data workflows before scaling usage. For AI builders looking to turn web pages into clean information, XCrawl combines scraping, crawling, mapping, search, rendering, and proxy handling in a single service.
XCrawl turns web pages into LLM-ready JSON or Markdown for AI applications. It is a web data API for developers who need information from a single page or an entire website in a consistent, usable form. The idea is simple: collect public web information without building a separate scraping stack.
With the scrape operation, a developer can request one URL and receive Markdown, JSON, HTML, or a screenshot. Each output serves a different next step: readable text for an LLM, structured data for an application, source HTML for processing, or a visual capture of the page. XCrawl provides the selected representation while handling rendering and request infrastructure on its side.
When a task needs more than one URL, the crawl operation can visit a whole site and follow the depth and scope rules configured for that run. Scope rules help keep a crawl focused on the intended part of a domain, while depth controls how far it follows links. This supports use cases where a team needs a larger set of pages rather than a single response.
Mapping addresses a different need: XCrawl can map every URL on a domain so builders can see what pages exist before choosing which ones to collect. This discovery step is useful for organizing a site-wide content source or planning a focused crawl. It complements scraping a known page and crawling a set of pages with explicit scope.
XCrawl also returns structured results from Google, Bing, DuckDuckGo, and other search engines. Search supports query-based discovery alongside direct URL extraction, crawling, and mapping. A workflow can begin with a query, identify relevant public pages, and then use the other web-data operations as appropriate.
JavaScript rendering, proxy rotation, and retries are handled on XCrawl's side. Developers can focus on the data they need and how their application will use it, instead of maintaining browser workers, proxy pools, or retry logic. Keeping these capabilities behind one API makes the integration straightforward for AI builders.
To fit common engineering workflows, XCrawl provides SDKs for Python and Node.js, a command-line interface, an MCP server, and an n8n node. The same core web-data capabilities are available from application code, the terminal, compatible MCP clients, and n8n automations. Teams can choose the integration that fits their stack.
XCrawl is freemium, and new accounts start with 1,000 free credits. The free starting allowance lets developers evaluate the API on their own data workflows before scaling usage. For AI builders looking to turn web pages into clean information, XCrawl combines scraping, crawling, mapping, search, rendering, and proxy handling in a single service.
