--- title: "Scrapling vs Skill_Seekers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-yusufkaraaslan-skill-seekers" tools: ["d4vinci-scrapling", "yusufkaraaslan-skill-seekers"] --- # Scrapling vs Skill_Seekers *GraphCanon updated Jul 11, 2026* ## Verdict Pick Scrapling when license: Scrapling is BSD-3-Clause, Skill_Seekers is MIT; pick Skill_Seekers when license: Skill_Seekers is MIT, Scrapling is BSD-3-Clause. [Scrapling](https://scrapling.readthedocs.io/en/latest/) reports 69k GitHub stars, 6.8k forks, and 3 open issues, last pushed Jul 8, 2026. [Skill_Seekers](https://skillseekersweb.com/) has 14k stars, 1.5k forks, and 103 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [Skill_Seekers's repository](https://github.com/yusufkaraaslan/Skill_Seekers). | | [Scrapling](/tools/d4vinci-scrapling.md) | [Skill_Seekers](/tools/yusufkaraaslan-skill-seekers.md) | | --- | --- | --- | | Tagline | 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! | Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection | | Stars | 69,097 | 14,428 | | Forks | 6,836 | 1,470 | | Open issues | 3 | 103 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Data & Retrieval, Developer Tools | Computer Vision, Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [Skill_Seekers](/tools/yusufkaraaslan-skill-seekers.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 2d | 8d | | Open issues (now) | 3 | 103 | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/yusufkaraaslan-skill-seekers/trust.md) | ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, Skill_Seekers is MIT. - Tags unique to Scrapling: ai, ai-scraping, crawler, crawling. - More GitHub stars (69k vs 14k) - visibility, not fit. ### Choose Skill_Seekers if… - License: Skill_Seekers is MIT, Scrapling is BSD-3-Clause. - Tags unique to Skill_Seekers: ai-tools, ast-parser, claude-ai, claude-skills. - Also covers Computer Vision. ## When NOT to use Scrapling - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Skill_Seekers - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between Scrapling and Skill_Seekers? Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. Skill_Seekers: Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapling over Skill_Seekers? Choose Scrapling over Skill_Seekers when License: Scrapling is BSD-3-Clause, Skill_Seekers is MIT; Tags unique to Scrapling: ai, ai-scraping, crawler, crawling; More GitHub stars (69k vs 14k) - visibility, not fit. ### When should I choose Skill_Seekers over Scrapling? Choose Skill_Seekers over Scrapling when License: Skill_Seekers is MIT, Scrapling is BSD-3-Clause; Tags unique to Skill_Seekers: ai-tools, ast-parser, claude-ai, claude-skills; Also covers Computer Vision. ### When should I avoid Scrapling? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Skill_Seekers? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Scrapling or Skill_Seekers more popular on GitHub? Scrapling has more GitHub stars (69,097 vs 14,428). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and Skill_Seekers open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, Skill_Seekers: MIT). ### Where can I find alternatives to Scrapling or Skill_Seekers? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [Skill_Seekers alternatives](/tools/yusufkaraaslan-skill-seekers/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/alternatives.md), [Skill_Seekers markdown twin](/tools/yusufkaraaslan-skill-seekers/alternatives.md)), 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](/compare/d4vinci-scrapling-vs-yusufkaraaslan-skill-seekers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapling or Skill_Seekers? Scrapling: Very active. Skill_Seekers: 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 Scrapling and Skill_Seekers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [Skill_Seekers trust report](/tools/yusufkaraaslan-skill-seekers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=d4vinci-scrapling`](/api/graphcanon/graph?tool=d4vinci-scrapling) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_