opendatalab / MinerU-HTML
MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- LLM-Powered Extraction. Uses state-of-the-art language models to intelligently identify main content
- Extensible Output. Integrated with MinerU-Webkit to support efficient conversion of extracted HTML into Markdown, JSON and Txt.
- Compact Format. Now use compact format for the model instead of the original JSON format for faster inference speed
- Regex structured output. Now use regex structured output for the model instead of the custom logits processor, so we can use vLLM v1 backend for inference.
- Complete Processing Pipeline. Includes HTML simplification, prompt construction, LLM inference, result parsing, main content extraction, and other complete processes
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 300
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- v1.1.3-qwen
- Released 3 days ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 96% closed
- 1 still open
- Pull requests
- 9 merged
- 1 waiting
- Releases
- 3
- 3 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
Topics
- article-extractor
- corpus-tools
- nlp
- rag
- scraping
- text-extraction
- trafilatura
- web-scraping
- webagent
Project record
- JobOther AI tools
- StatusListed
- Commits20
- Forks28
- Watching5
- Stars in 28 days+7
- CreatedNov 26, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026
