--- title: "knowledge-gpt vs Scrapegraph-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/geeks-of-data-knowledge-gpt-vs-scrapegraphai-scrapegraph-ai" tools: ["geeks-of-data-knowledge-gpt", "scrapegraphai-scrapegraph-ai"] --- # knowledge-gpt vs Scrapegraph-ai *GraphCanon updated Aug 16, 2026* ## Verdict Pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers; pick Scrapegraph-ai if scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks. [knowledge-gpt](https://pypi.org/project/knowledgegpt/) reports 291 GitHub stars, 52 forks, and 8 open issues, last pushed Apr 25, 2023. [Scrapegraph-ai](https://scrapegraphai.com) has 30k stars, 2.9k forks, and 12 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [knowledge-gpt's repository](https://github.com/geeks-of-data/knowledge-gpt) and [Scrapegraph-ai's repository](https://github.com/ScrapeGraphAI/Scrapegraph-ai). | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Tagline | Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources. | Python scraper based on AI | | Stars | 291 | 29,618 | | Forks | 52 | 2,925 | | Open issues | 8 | 12 | | Language | Python | Python | | Adopt for | knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. | Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks. | | Persona | - | - | | Runtime | - | - | | License | MIT | Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code. | | Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1185d | 27d | | Open issues (now) | 8 | 12 | | Stars delta | Unknown | +1.2k (30d) | | Open issues delta | Unknown | +5 (30d) | | Full report | [trust report](/tools/geeks-of-data-knowledge-gpt/trust.md) | [trust report](/tools/scrapegraphai-scrapegraph-ai/trust.md) | ## Shared compatibility - **Python**: [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) - Python runtime; [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) - Python runtime ## Decision facts: knowledge-gpt - **Adopt for:** knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. ## Decision facts: Scrapegraph-ai - **Pricing:** freemium - 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. - **Adopt for:** Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks. - **License detail:** Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code. ## Choose when ### Choose knowledge-gpt if… - Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers. - Also covers Evaluation & Observability, Model Training. - When you need a flexible, model-agnostic approach for Q&A over diverse data sources ### Choose Scrapegraph-ai if… - 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. - When you need advanced AI capabilities to parse and understand the context of scraped web content. ## When NOT to use knowledge-gpt - Avoid if strictly needing real-time response performance without indexing capabilities - Not recommended if focusing solely on visual or multimedia content extraction ## 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 ## Common questions ### What is the difference between knowledge-gpt and Scrapegraph-ai? knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose knowledge-gpt over Scrapegraph-ai? Choose knowledge-gpt over Scrapegraph-ai when Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers Evaluation & Observability, Model Training; When you need a flexible, model-agnostic approach for Q&A over diverse data sources. ### When should I choose Scrapegraph-ai over knowledge-gpt? Choose Scrapegraph-ai over knowledge-gpt when 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; When you need advanced AI capabilities to parse and understand the context of scraped web content. ### When should I avoid knowledge-gpt? Avoid if strictly needing real-time response performance without indexing capabilities Not recommended if focusing solely on visual or multimedia content extraction ### 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 ### Is knowledge-gpt or Scrapegraph-ai more popular on GitHub? Scrapegraph-ai has more GitHub stars (29,618 vs 291). Stars measure visibility, not whether either tool fits your constraints. ### Are knowledge-gpt and Scrapegraph-ai open source? Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, Scrapegraph-ai: MIT). ### Where can I find alternatives to knowledge-gpt or Scrapegraph-ai? GraphCanon lists graph-backed alternatives at [knowledge-gpt alternatives](/tools/geeks-of-data-knowledge-gpt/alternatives) and [Scrapegraph-ai alternatives](/tools/scrapegraphai-scrapegraph-ai/alternatives) ([knowledge-gpt markdown twin](/tools/geeks-of-data-knowledge-gpt/alternatives.md), [Scrapegraph-ai markdown twin](/tools/scrapegraphai-scrapegraph-ai/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/geeks-of-data-knowledge-gpt-vs-scrapegraphai-scrapegraph-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, knowledge-gpt or Scrapegraph-ai? knowledge-gpt: Dormant. Scrapegraph-ai: 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 knowledge-gpt and Scrapegraph-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [knowledge-gpt trust report](/tools/geeks-of-data-knowledge-gpt/trust); [Scrapegraph-ai trust report](/tools/scrapegraphai-scrapegraph-ai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=geeks-of-data-knowledge-gpt`](/api/graphcanon/graph?tool=geeks-of-data-knowledge-gpt) - 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/_