Crawl4AI vs Unstructured
Unstructured leads on trust: 88.0/100 (Grade A) against 70.2/100 (Grade B), a 17.8-point gap. Crawl4AI leads on adoption and maintenance; Unstructured leads on supply-chain integrity and provenance.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Choose Crawl4AI if adoption and maintenance matter most.
- +1.4Adoption: 84.7k GitHub stars against 15.5k
- +0.9Maintenance
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows…
Choose Unstructured if supply-chain integrity and provenance matter most.
- +12.7Safety / Integrity: 100% of recent commits signed, against 39%
- +7.2Identity / Provenance: package provenance attested, against none
- +1.5Transparency: OSSF Scorecard 6.6 against 4.8
Where they differ
An independent, evidence-based trust comparison of Crawl4AI and Unstructured, two Research & Data projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Crawl4AIunclecode/crawl4ai | UnstructuredUnstructured-IO/unstructured |
|---|---|---|
| HVTrust score | 70.2 | 88.0 |
| Evidence grade | B | A |
| Coverage grade | A | A |
| Overall rank | #327 | #39 |
| Rank in Research & Data | #6 | #2 |
| GitHub stars | 84.7k | 15.5k |
| Last updated | 8d ago | today |
| Build provenance | No | Yes |
| OSSF Scorecard | 4.8 / 10 | 6.6 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 359k/wk | 622k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 8.0 | 20.7 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 12.6 | 14.1 |
| Maintenance / 20 | 17.9 | 17.0 |
| Adoption / 20 | 19.2 | 17.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 1 — OpenAI | 7 — Amazon Bedrock, Google Gemini, OpenAI, … |
| Requires API keys | Yes | No |
| Plugin surface | marketplace | — |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →