AI-Ready Web Page to JSON Extractor
Pricing
$1.00 / 1,000 page extractions
AI-Ready Web Page to JSON Extractor
Convert public web pages and JSON endpoints into clean structured JSON for AI agents, RAG pipelines, MCP tools, crawlers, and data workflows. Extract text, Markdown, headings, links, canonical URL, metadata, and content hashes.
Pricing
$1.00 / 1,000 page extractions
Rating
0.0
(0)
Developer
HAVIO AI
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a month ago
Last modified
Categories
Security
Limited permissionsShare
Turn public web pages and JSON endpoints into clean structured JSON that AI agents, RAG pipelines, MCP tools, crawlers, and data workflows can consume directly.
What it extracts
For each URL, the Actor returns:
- final and canonical URL
- HTTP status and content type
- page title
- clean main text
- Markdown
- heading structure
- links
- page metadata
- SHA-256 content hash
- truncation status and safety limits
JSON endpoints are preserved as structured text and pretty-printed JSON in the Markdown field.
Use this Actor when you need
- web page to JSON extraction
- clean website text for RAG ingestion
- AI agent web-content preprocessing
- MCP tool page extraction
- webpage to Markdown conversion
- heading and link extraction
- canonical URL and metadata capture
- repeatable content hashing for change detection
Input
Provide 1 to 100 public HTTP/HTTPS URLs in urls.
{"urls": ["https://example.com","https://jsonplaceholder.typicode.com/users"]}
Output
Each input URL produces one dataset item. Successful HTML output includes main_text, markdown, headings, links, metadata, canonical_url, and content_hash.
Safety
The Actor accepts public HTTP/HTTPS targets only. It rejects localhost, private IP ranges, local hostnames, credentials embedded in URLs, and DNS targets resolving to non-public addresses. Response size and redirect depth are bounded.
Deterministic extraction
This Actor does not use an LLM. The same reachable content is processed deterministically, making it suitable for automation and preprocessing pipelines.