Website Content RAG Cleaner
Pricing
Pay per usage
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Website Content RAG Cleaner
Extract public web pages into clean, structured content ready for retrieval, summaries, and AI workflows.
Pricing
Pay per usage
Rating
0.0
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Developer
Daniel Ferreira de Almeida
Maintained by CommunityActor stats
0
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1
Total users
0
Monthly active users
3 days ago
Last modified
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Turn public web pages into clean, structured, RAG-ready content.
What it does
This Actor fetches one or more public URLs, or consumes provided HTML, and returns:
- the resolved page title and final URL
- cleaned plain text
- markdown-style content
- optional raw HTML
- extracted links
- chunked text for retrieval pipelines
- basic run metadata
Best for
- knowledge base ingestion
- RAG pipelines
- AI search indexes
- support and sales enablement
- document-style content extraction
Input
urls— public URLs to processhtml— optional single HTML document for offline validationhtmlByUrl— optional offline URL→HTML mapincludeRawHtml— include the original HTML in outputincludeLinks— include extracted linksmaxTextChars— cap on cleaned text lengthchunkSize— chunk size for downstream processing
Example input
{"urls": ["https://example.com/article"],"html": "<!doctype html><html><head><title>Example</title></head><body><h1>Example</h1><p>Hello world.</p></body></html>","includeRawHtml": false,"includeLinks": true,"maxTextChars": 5000,"chunkSize": 400}
Output
Each item contains:
urlfinalUrltitledescriptiontextmarkdownchunkslinkswordCountstatuscheckedAt
Validation
The local smoke test uses a fixture HTML document so the Actor can be validated without network dependence.
Notes
- Safe for platform testing with fixture HTML.
- Designed for clean ingestion into downstream retrieval systems.