Turn websites into source-linked knowledge
Collect scoped website content for training corpora, RAG, documentation search and recurring site research.
Crawl workflows
Approved website scopeIllustrative example · No live collection is running
Start from the site
Organize collection around a domain or selected documentation paths.
Keep usable formats
Choose the supported outputs that match your downstream processing.
Build traceable datasets
Retain page identity through filtering, indexing and refreshes.
A solution for every Crawl team
Start with the work your team needs to complete, then define the collection or execution layer.
Build a traceable web corpus for model development
Crawl approved sites into source-linked content that your pipeline can filter, deduplicate and prepare for model training.
- 01
INPUT
Approved domains, crawl scope and content reuse criteria
- 02
PROCESS
Collect content with page-level provenance
- 03
OUTCOME
Filter and deduplicate before dataset release
Choose the workflow your team needs
Collect scoped website content for training corpora, RAG, documentation search and recurring site research.
AI Training Data
Crawl approved sites into source-linked content that your pipeline can filter, deduplicate and prepare for model training.
RAG Knowledge Data
Crawl selected websites into content your retrieval pipeline can chunk, embed and refresh with traceable citations.
Enterprise Knowledge Bases
Collect scoped company documentation and public resources, then review and organize the content around your team's information needs.
Content Migration & Site Capture
Crawl approved site sections to capture page content, links and metadata for migration mapping and post-migration checks.
Whole-site Change Monitoring
Repeat a scoped crawl and compare normalized content snapshots to detect additions, removals and meaningful page changes.
Documentation Indexing
Crawl selected documentation paths and preserve page context for navigation-aware search and discoverable technical references.
Market Intelligence Corpora
Crawl approved company and industry sites to give analysts a comparable body of source-linked material for recurring research.
Multimodal Training Data
Collect screenshots alongside page content to build traceable visual-text records for multimodal research and evaluation.
Need Crawl specifications and pricing?
Review current setup, supported options and account terms before integrating.
From business question to action
Define a clear contract between the input, the product capability and the usable result.
- 01
Choose sources and scope
Start with one decision and the sources or tasks that support it.
- 02
Collect connected pages
Recursive website collection with supported content formats such as Markdown, HTML, links and screenshots.
- 03
Normalize the content
Source permissions, scope, content filtering, versioning, indexing and downstream model use.
- 04
Build or refresh the dataset
In-scope coverage, duplicate rate and retained document quality.
Built for dependable Crawl workflows
Make collection context and result quality part of the design from the first run.
- Seed → scope → pages
Collect within a defined scope
Use recursive collection for selected website areas. Start with a small scope and review discovered pages before expanding the crawl.
- Markdown · HTML · links
Choose useful output formats
Crawl supports content formats including Markdown, HTML, links and screenshots. Select the formats required by your consuming application.
- Page → document → source
Keep source identity
Associate each retained document with its URL and capture context. Your pipeline can then maintain versioning and source-linked citations.
- Filter → deduplicate → publish
Prepare content downstream
Apply your own deduplication, content filters and quality checks before indexing or training. Collecting a page is the beginning of dataset preparation.