--- title: "scrapecraft vs Scrapegraph-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/scrapegraphai-scrapecraft-vs-scrapegraphai-scrapegraph-ai" tools: ["scrapegraphai-scrapecraft", "scrapegraphai-scrapegraph-ai"] --- # scrapecraft vs Scrapegraph-ai *GraphCanon updated Sep 20, 2026* ## Verdict Pick scrapecraft if scrapecraft is an AI-powered web scraping editor that uses natural language inputs to build, test, and deploy scrapers; 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. [scrapecraft](https://github.com/ScrapeGraphAI/scrapecraft) reports 698 GitHub stars, 112 forks, and 1 open issues, last pushed Dec 26, 2025. [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 [scrapecraft's repository](https://github.com/ScrapeGraphAI/scrapecraft) and [Scrapegraph-ai's repository](https://github.com/ScrapeGraphAI/Scrapegraph-ai). | | [scrapecraft](/tools/scrapegraphai-scrapecraft.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Tagline | AI-powered web scraping editor with visual workflow builder | Python scraper based on AI | | Stars | 698 | 31,068 | | Forks | 112 | 3,128 | | Open issues | 1 | 17 | | Language | Python | Python | | Adopt for | Scrapecraft is an AI-powered web scraping editor that uses natural language inputs to build, test, and deploy scrapers. | 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 | MIT | MIT License | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [scrapecraft](/tools/scrapegraphai-scrapecraft.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 267d | 10d | | Open issues (now) | 1 | 17 | | Stars delta | +18 (30d) | +1.4k (30d) | | Open issues delta | 0 (30d) | +5 (30d) | | Full report | [trust report](/tools/scrapegraphai-scrapecraft/trust.md) | [trust report](/tools/scrapegraphai-scrapegraph-ai/trust.md) | ## Decision facts: scrapecraft - **Adopt for:** Scrapecraft is an AI-powered web scraping editor that uses natural language inputs to build, test, and deploy scrapers. ## 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 scrapecraft if… - Tags unique to scrapecraft: ai, automation, docker, fastapi. - When you need to simplify the creation of complex web scraping tasks through visual workflow builders and natural language commands. - Leaner open-issue backlog (1). ### Choose Scrapegraph-ai if… - 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. - 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 scrapecraft - If your team requires more granular control over scraper logic, as Scrapecraft's reliance on AI and visual workflows might lack some fine-tuning options available in code-based scrapers. - For projects where security or sensitive data handling is a concern, if the proprietary algorithms of ScrapeGraphAI do not meet your specific compliance needs. ## 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 scrapecraft and Scrapegraph-ai? scrapecraft: AI-powered web scraping editor with visual workflow builder. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose scrapecraft over Scrapegraph-ai? Choose scrapecraft over Scrapegraph-ai when Tags unique to scrapecraft: ai, automation, docker, fastapi; When you need to simplify the creation of complex web scraping tasks through visual workflow builders and natural language commands; Leaner open-issue backlog (1). ### When should I choose Scrapegraph-ai over scrapecraft? Choose Scrapegraph-ai over scrapecraft when 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; 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 scrapecraft? If your team requires more granular control over scraper logic, as Scrapecraft's reliance on AI and visual workflows might lack some fine-tuning options available in code-based scrapers. For projects where security or sensitive data handling is a concern, if the proprietary algorithms of ScrapeGraphAI do not meet your specific compliance needs. ### 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 scrapecraft or Scrapegraph-ai more popular on GitHub? Scrapegraph-ai has more GitHub stars (31,068 vs 698). Stars measure visibility, not whether either tool fits your constraints. ### Are scrapecraft and Scrapegraph-ai open source? Yes - both are open-source projects on GitHub (scrapecraft: MIT, Scrapegraph-ai: MIT). ### Where can I find alternatives to scrapecraft or Scrapegraph-ai? GraphCanon lists graph-backed alternatives at [scrapecraft alternatives](/tools/scrapegraphai-scrapecraft/alternatives) and [Scrapegraph-ai alternatives](/tools/scrapegraphai-scrapegraph-ai/alternatives) ([scrapecraft markdown twin](/tools/scrapegraphai-scrapecraft/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/scrapegraphai-scrapecraft-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, scrapecraft or Scrapegraph-ai? scrapecraft: Slowing. 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 scrapecraft and Scrapegraph-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [scrapecraft trust report](/tools/scrapegraphai-scrapecraft/trust); [Scrapegraph-ai trust report](/tools/scrapegraphai-scrapegraph-ai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=scrapegraphai-scrapecraft`](/api/graphcanon/graph?tool=scrapegraphai-scrapecraft) - 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/_