--- title: "surf vs Scrapegraph-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deta-surf-vs-scrapegraphai-scrapegraph-ai" tools: ["deta-surf", "scrapegraphai-scrapegraph-ai"] --- # surf vs Scrapegraph-ai *GraphCanon updated Sep 20, 2026* ## Verdict Pick surf if surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages; pick Scrapegraph-ai if scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. [surf](https://deta.surf) reports 3.6k GitHub stars, 251 forks, and 32 open issues, last pushed Aug 24, 2026. [Scrapegraph-ai](https://scrapegraphai.com) has 31k stars, 3.1k forks, and 17 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [surf's repository](https://github.com/deta/surf) and [Scrapegraph-ai's repository](https://github.com/ScrapeGraphAI/Scrapegraph-ai). | | [surf](/tools/deta-surf.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Tagline | Tools for organizing files and webpages locally to generate notes using personal AI notebooks. | Python scraper based on AI | | Stars | 3,572 | 31,068 | | Forks | 251 | 3,128 | | Open issues | 32 | 17 | | Language | TypeScript | Python | | Adopt for | surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages. | Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | Data & Retrieval, Developer Tools, LLM Frameworks | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [surf](/tools/deta-surf.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Days since push | 26d | 10d | | Open issues (now) | 32 | 17 | | Stars delta | +50 (30d) | +1.4k (30d) | | Open issues delta | 0 (30d) | +5 (30d) | | Full report | [trust report](/tools/deta-surf/trust.md) | [trust report](/tools/scrapegraphai-scrapegraph-ai/trust.md) | ## Decision facts: surf - **Adopt for:** surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages. ## Decision facts: Scrapegraph-ai - **Pricing:** freemium - Free to use under the MIT License, with no explicit mention of paid features in the repository. - **Requirements:** Min 2 GB RAM; Requires Python environment to run. - **Adopt for:** Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. - **License detail:** MIT License ## Choose when ### Choose surf if… - surf is primarily TypeScript; Scrapegraph-ai is Python. - License: surf is Apache-2.0, Scrapegraph-ai is MIT. - Tags unique to surf: claude, deepseek, gemma, knowledge-base. - Also covers LLM Frameworks. - Need a robust integration with both local and remote language models for comprehensive note creation ### Choose Scrapegraph-ai if… - Scrapegraph-ai is primarily Python; surf is TypeScript. - License: Scrapegraph-ai is MIT, surf is Apache-2.0. - Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.. - Requirements: Min 2 GB RAM; Requires Python environment to run.. - Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler. - Scrapegraph-ai ships Docker support for self-hosted deployment. - When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers. ## When NOT to use surf - Prefer using proprietary, closed-source tools that do not allow open model choices - Require extensive cloud-based collaboration features among multiple users ## When NOT to use Scrapegraph-ai - If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. - When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient. ## Common questions ### What is the difference between surf and Scrapegraph-ai? surf: Tools for organizing files and webpages locally to generate notes using personal AI notebooks.. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose surf over Scrapegraph-ai? Choose surf over Scrapegraph-ai when surf is primarily TypeScript; Scrapegraph-ai is Python; License: surf is Apache-2.0, Scrapegraph-ai is MIT; Tags unique to surf: claude, deepseek, gemma, knowledge-base; Also covers LLM Frameworks; Need a robust integration with both local and remote language models for comprehensive note creation. ### When should I choose Scrapegraph-ai over surf? Choose Scrapegraph-ai over surf when Scrapegraph-ai is primarily Python; surf is TypeScript; License: Scrapegraph-ai is MIT, surf is Apache-2.0; Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.; Requirements: Min 2 GB RAM; Requires Python environment to run.; Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers. ### When should I avoid surf? Prefer using proprietary, closed-source tools that do not allow open model choices Require extensive cloud-based collaboration features among multiple users ### When should I avoid Scrapegraph-ai? If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient. ### Is surf or Scrapegraph-ai more popular on GitHub? Scrapegraph-ai has more GitHub stars (31,068 vs 3,572). Stars measure visibility, not whether either tool fits your constraints. ### Are surf and Scrapegraph-ai open source? Yes - both are open-source projects on GitHub (surf: Apache-2.0, Scrapegraph-ai: MIT). ### Where can I find alternatives to surf or Scrapegraph-ai? GraphCanon lists graph-backed alternatives at [surf alternatives](/tools/deta-surf/alternatives) and [Scrapegraph-ai alternatives](/tools/scrapegraphai-scrapegraph-ai/alternatives) ([surf markdown twin](/tools/deta-surf/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/deta-surf-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, surf or Scrapegraph-ai? surf: Active. 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 surf and Scrapegraph-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [surf trust report](/tools/deta-surf/trust); [Scrapegraph-ai trust report](/tools/scrapegraphai-scrapegraph-ai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deta-surf`](/api/graphcanon/graph?tool=deta-surf) - 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/_