Build structured, searchable knowledge bases from unstructured online sources and turn scattered information into organized intelligence.
The web is full of valuable information — but it's fragmented, unstructured, and difficult to maintain. CrawlKit helps teams collect, organize, and transform publicly available web content into reliable knowledge bases that can power products, research, and decision-making.
Most online information exists in free-form formats: articles, documentation, FAQs, blog posts, listings, and pages designed for humans — not systems.
Knowledge base creation bridges this gap.
With CrawlKit, teams can systematically gather unstructured web content and organize it into structured knowledge assets that are easier to search, analyze, and reuse across applications.
This enables:
A knowledge base is a structured collection of information designed to be:
• Easily searchable • Continuously updatable • Reusable across teams and systems
Unlike static document repositories, modern knowledge bases evolve over time and reflect changes in the underlying data sources.
CrawlKit enables the creation of knowledge bases that stay aligned with the constantly changing nature of the web.
CrawlKit supports knowledge base creation from a wide range of publicly available web sources.
Teams use CrawlKit to build knowledge bases for many AI and data-driven applications:
Power question-answering systems with structured, up-to-date knowledge.
Centralize information for teams, reducing reliance on manual research.
Build support knowledge bases from publicly available documentation and FAQs.
Aggregate insights across industries or topics.
Enable smarter search and navigation across large content collections.
The web represents the most comprehensive, real-time source of information available.
By building knowledge bases from web data, teams gain:
Traditional knowledge bases often become outdated.
CrawlKit enables teams to build living knowledge bases that evolve alongside the web — ensuring that insights remain accurate and relevant over time.
This approach supports long-term initiatives rather than one-off projects.
Get started in minutes with our simple API.
const response = await fetch('https://api.crawlkit.sh/v1/crawl/raw', {
method: 'POST',
headers: {
'Authorization': 'ApiKey ck_xxx',
'Content-Type': 'application/json'
},
body: JSON.stringify({
url: 'https://docs.example.com/guide/introduction'
})
});
const { data } = await response.json();
// Extract and structure content for your knowledge baseWhy teams choose CrawlKit for knowledge base creation.
Bring scattered web content into a single, organized system.
Make information easier to search, query, and reuse.
Automate content collection instead of relying on ad-hoc research.
Expand knowledge bases as new sources and topics emerge.
Create structured inputs for AI, search, and analytics systems.
Knowledge Base Creation with CrawlKit is commonly used by:
If your AI system depends on understanding real-world web content, this use case provides a strong foundation.
If your systems depend on reliable, structured knowledge, this use case provides a scalable foundation. Transform scattered web content into organized intelligence.