Comparison
Scrapegraph-ai vs unstract
Verdict
Pick Scrapegraph-ai if scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks; pick unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.
Markdown twin · Scrapegraph-ai alternatives · unstract alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | Scrapegraph-ai | unstract |
|---|---|---|
| Maintenance | Active (27d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Scrapegraph-ai
- Python scraper based on AI
- unstract
- LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows
Stars
- Scrapegraph-ai
- 30k
- unstract
- 6.9k
Forks
- Scrapegraph-ai
- 2.9k
- unstract
- 663
Open issues
- Scrapegraph-ai
- 12
- unstract
- 88
Language
- Scrapegraph-ai
- Python
- unstract
- Python
Adopt for
- Scrapegraph-ai
- Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
- unstract
- Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.
Persona
- Scrapegraph-ai
- -
- unstract
- -
Runtime
- Scrapegraph-ai
- -
- unstract
- -
License
- Scrapegraph-ai
- Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code.
- unstract
- AGPL-3.0
Last pushed
- Scrapegraph-ai
- Jul 20, 2026
- unstract
- Jul 27, 2026
Categories
- Scrapegraph-ai
- Data & Retrieval, LLM Frameworks
- unstract
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- Scrapegraph-ai
- Active (82%)
- unstract
- Very active (96%)
Days since push
- Scrapegraph-ai
- 27d
- unstract
- 0d
Open issues (now)
- Scrapegraph-ai
- 12
- unstract
- 88
Stars delta
- Scrapegraph-ai
- +1.2k (30d)
- unstract
- Unknown
Open issues delta
- Scrapegraph-ai
- +5 (30d)
- unstract
- Unknown
Full report
- Scrapegraph-ai
- Trust report
- unstract
- Trust report
Choose Scrapegraph-ai if…
- License: Scrapegraph-ai is MIT, unstract is AGPL-3.0.
- Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license..
- Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping..
- Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model.
- Scrapegraph-ai ships Docker support for self-hosted deployment.
- When you need advanced AI capabilities to parse and understand the context of scraped web content.
When NOT to use Scrapegraph-ai
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence.
- When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
Choose unstract if…
- License: unstract is AGPL-3.0, Scrapegraph-ai is MIT.
- Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai.
- You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
When NOT to use unstract
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control.
- Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing.
- Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- GitHub forks (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- Last push (ScrapeGraphAI/Scrapegraph-ai) · observed Jul 20, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Zipstack/unstract) · observed Jul 28, 2026
- GitHub forks (Zipstack/unstract) · observed Jul 28, 2026
- Last push (Zipstack/unstract) · observed Jul 27, 2026
- License file (AGPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Scrapegraph-ai 30k · unstract 6.9k (synced Aug 16, 2026).
Common questions
- What is the difference between Scrapegraph-ai and unstract?
- Scrapegraph-ai: Python scraper based on AI. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose Scrapegraph-ai over unstract?
- Choose Scrapegraph-ai over unstract when License: Scrapegraph-ai is MIT, unstract is AGPL-3.0; Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license.; Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping.; Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI capabilities to parse and understand the context of scraped web content.
- When should I choose unstract over Scrapegraph-ai?
- Choose unstract over Scrapegraph-ai when License: unstract is AGPL-3.0, Scrapegraph-ai is MIT; Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
- When should I avoid Scrapegraph-ai?
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence. When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
- When should I avoid unstract?
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
- Is Scrapegraph-ai or unstract more popular on GitHub?
- Scrapegraph-ai has more GitHub stars (29,618 vs 6,932). Stars measure visibility, not whether either tool fits your constraints.
- Are Scrapegraph-ai and unstract open source?
- Yes - both are open-source projects on GitHub (Scrapegraph-ai: MIT, unstract: AGPL-3.0).
- Where can I find alternatives to Scrapegraph-ai or unstract?
- GraphCanon lists graph-backed alternatives at Scrapegraph-ai alternatives and unstract alternatives (Scrapegraph-ai markdown twin, unstract markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Scrapegraph-ai or unstract?
- Scrapegraph-ai: Active. unstract: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Scrapegraph-ai and unstract?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Scrapegraph-ai trust report; unstract trust report.