--- title: "Scrapegraph-ai vs xberg" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/scrapegraphai-scrapegraph-ai-vs-xberg-io-xberg" tools: ["scrapegraphai-scrapegraph-ai", "xberg-io-xberg"] --- # Scrapegraph-ai vs xberg Neutral, constraint-first comparison with live GitHub stats. | | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | [xberg](/tools/xberg-io-xberg.md) | | --- | --- | --- | | Tagline | Python scraper based on AI for web data extraction and LLM integration | Polyglot document intelligence framework with Rust core | | Stars | 28,174 | 8,601 | | Forks | 2,717 | 510 | | Open issues | 3 | 10 | | Language | Python | Rust | | Adopt for | ScrapeGraphAI is an AI-powered Python library for web data extraction and LLM integration, supporting various document types like HTML, JSON, Markdown, etc. | xberg is a polyglot document intelligence framework with its core written in Rust, offering broad language support and versatile deployment options. | | Persona | - | - | | Runtime | - | - | | License | MIT License | MIT | | Categories | LLM Frameworks, Developer Tools | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | [xberg](/tools/xberg-io-xberg.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 0d | | Open issues (now) | 3 | 10 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/scrapegraphai-scrapegraph-ai/trust.md) | [trust report](/tools/xberg-io-xberg/trust.md) | **Typed relationship:** Scrapegraph-ai _(alternative)_ xberg Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM. ## Shared compatibility - **Node.js**: [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) - Node.js runtime; [xberg](/tools/xberg-io-xberg.md) - Node.js runtime - **Python**: [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) - Python runtime; [xberg](/tools/xberg-io-xberg.md) - Python runtime ## Decision facts: Scrapegraph-ai - **Pricing:** unknown - No specific pricing mentioned, but a cloud-based enhanced version is promoted on the repository - **Adopt for:** ScrapeGraphAI is an AI-powered Python library for web data extraction and LLM integration, supporting various document types like HTML, JSON, Markdown, etc. - **License detail:** MIT License ## Decision facts: xberg - **Adopt for:** xberg is a polyglot document intelligence framework with its core written in Rust, offering broad language support and versatile deployment options. ## Choose when ### Choose Scrapegraph-ai if… - Scrapegraph-ai is primarily Python; xberg is Rust. - Pricing: No specific pricing mentioned, but a cloud-based enhanced version is promoted on the repository. - Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM. - Tags unique to Scrapegraph-ai: markdown, large-language-model, llm, ai-search. - Also covers LLM Frameworks, Developer Tools. - Scrapegraph-ai ships Docker support for self-hosted deployment. - - When you need a fast setup with fewer lines of code (approx. 5 lines) to get started. ### Choose xberg if… - xberg is primarily Rust; Scrapegraph-ai is Python. - Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM. - Tags unique to xberg: metadata-extraction, csharp, elixir, bun. - Also covers Data & Retrieval. - - When you require a highly performant solution for processing over 97+ formats, leveraging Rust's speed through various language bindings including Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, and祢 ## When NOT to use Scrapegraph-ai - - If your project has strict data privacy regulations and requires on-premises installation of the scraping tool because ScrapeGraphAI promotes its cloud-based services which may not comply with those - - When you require detailed customizations in scraping behaviors that aren’t supported through the integrations it provides. - - In scenarios where you are working solely with non-Python frameworks or when Python is explicitly disallowed by organizational policies. ## When NOT to use xberg - - If you are working exclusively in languages not covered by xberg such as Scala, Kotlin (excluding its Maven package), Dart, Swift, Zig, or any environment lacking the necessary bindings. - - When your project's performance bottleneck is not related to document processing or requires less flexible deployment options than what xberg offers. ## Common questions ### What is the difference between Scrapegraph-ai and xberg? Scrapegraph-ai: Python scraper based on AI for web data extraction and LLM integration. xberg: Polyglot document intelligence framework with Rust core. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapegraph-ai over xberg? Choose Scrapegraph-ai over xberg when Scrapegraph-ai is primarily Python; xberg is Rust; Pricing: No specific pricing mentioned, but a cloud-based enhanced version is promoted on the repository; Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM; Tags unique to Scrapegraph-ai: markdown, large-language-model, llm, ai-search; Also covers LLM Frameworks, Developer Tools; Scrapegraph-ai ships Docker support for self-hosted deployment; - When you need a fast setup with fewer lines of code (approx. 5 lines) to get started. ### When should I choose xberg over Scrapegraph-ai? Choose xberg over Scrapegraph-ai when xberg is primarily Rust; Scrapegraph-ai is Python; Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM; Tags unique to xberg: metadata-extraction, csharp, elixir, bun; Also covers Data & Retrieval; - When you require a highly performant solution for processing over 97+ formats, leveraging Rust's speed through various language bindings including Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, and祢. ### When should I avoid Scrapegraph-ai? - If your project has strict data privacy regulations and requires on-premises installation of the scraping tool because ScrapeGraphAI promotes its cloud-based services which may not comply with those - When you require detailed customizations in scraping behaviors that aren’t supported through the integrations it provides. - In scenarios where you are working solely with non-Python frameworks or when Python is explicitly disallowed by organizational policies. ### When should I avoid xberg? - If you are working exclusively in languages not covered by xberg such as Scala, Kotlin (excluding its Maven package), Dart, Swift, Zig, or any environment lacking the necessary bindings. - When your project's performance bottleneck is not related to document processing or requires less flexible deployment options than what xberg offers. ### Is Scrapegraph-ai or xberg more popular on GitHub? Scrapegraph-ai has more GitHub stars (28,174 vs 8,601). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapegraph-ai and xberg open source? Yes - both are open-source projects on GitHub (Scrapegraph-ai: MIT, xberg: MIT). ### Where can I find alternatives to Scrapegraph-ai or xberg? GraphCanon lists graph-backed alternatives at /tools/scrapegraphai-scrapegraph-ai/alternatives and /tools/xberg-io-xberg/alternatives (/tools/scrapegraphai-scrapegraph-ai/alternatives.md, /tools/xberg-io-xberg/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 /compare/scrapegraphai-scrapegraph-ai-vs-xberg-io-xberg.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapegraph-ai or xberg? Scrapegraph-ai: Active. xberg: 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 xberg? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Scrapegraph-ai: /tools/scrapegraphai-scrapegraph-ai/trust; xberg: /tools/xberg-io-xberg/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=scrapegraphai-scrapegraph-ai`](/api/graphcanon/graph?tool=scrapegraphai-scrapegraph-ai) - 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/_