Comparison
Scrapegraph-ai vs xberg
Verdict
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; pick xberg if xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other.
Markdown twin · Scrapegraph-ai alternatives · xberg alternatives
GraphCanon updated Sep 20, 2026
20views this month
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Trust & integrity
| Signal | Scrapegraph-ai | xberg |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Scrapegraph-ai
- Python scraper based on AI
- xberg
- A polyglot document intelligence framework with a Rust core
Stars
- Scrapegraph-ai
- 31k
- xberg
- 9.1k
Forks
- Scrapegraph-ai
- 3.1k
- xberg
- 562
Open issues
- Scrapegraph-ai
- 17
- xberg
- 13
Language
- Scrapegraph-ai
- Python
- xberg
- Rust
Adopt for
- Scrapegraph-ai
- 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.
- xberg
- xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple
Persona
- Scrapegraph-ai
- -
- xberg
- -
Runtime
- Scrapegraph-ai
- -
- xberg
- -
License
- Scrapegraph-ai
- MIT License
- xberg
- MIT License allows for both free and commercial use with no need to disclose source code but requires attribution.
Last pushed
- Scrapegraph-ai
- Sep 7, 2026
- xberg
- Aug 16, 2026
Categories
- Scrapegraph-ai
- Data & Retrieval, Developer Tools
- xberg
- Data & Retrieval
Trust and health
Maintenance
- Scrapegraph-ai
- Active (82%)
- xberg
- Very active (96%)
Days since push
- Scrapegraph-ai
- 10d
- xberg
- 1d
Open issues (now)
- Scrapegraph-ai
- 17
- xberg
- 13
Stars delta
- Scrapegraph-ai
- +1.4k (30d)
- xberg
- +460 (30d)
Open issues delta
- Scrapegraph-ai
- +5 (30d)
- xberg
- -5 (30d)
OSV dependency advisories
- Scrapegraph-ai
- No lockfile (source not queried)
- xberg
- No published findings from this source as of 2026-07-11
Full report
- Scrapegraph-ai
- Trust report
- xberg
- Trust report
Typed relationship
Scrapegraph-ai alternative xbergBoth libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM.
Choose Scrapegraph-ai if…
- Scrapegraph-ai is primarily Python; xberg is Rust.
- 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..
- 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: ai-crawler, ai-scraping, ai-search, crawler.
- Also covers Developer Tools.
- 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 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.
Choose xberg if…
- xberg is primarily Rust; Scrapegraph-ai is Python.
- Pricing: Open-source MIT license; enterprise support is available..
- Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration.
- 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: bun, csharp, document-intelligence, elixir.
- You need to extract not only text but also structured information such as images, tables from over 100 file formats
When NOT to use xberg
- You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks
- Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 20, 2026
- GitHub forks (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 20, 2026
- Last push (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (xberg-io/xberg) · observed Sep 20, 2026
- GitHub forks (xberg-io/xberg) · observed Sep 20, 2026
- Last push (xberg-io/xberg) · observed Aug 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Scrapegraph-ai 31k · xberg 9.1k (synced Sep 20, 2026).
Common questions
- What is the difference between Scrapegraph-ai and xberg?
- Scrapegraph-ai: Python scraper based on AI. xberg: A polyglot document intelligence framework with a 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: 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.; 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: ai-crawler, ai-scraping, ai-search, crawler; Also covers Developer Tools; 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 choose xberg over Scrapegraph-ai?
- Choose xberg over Scrapegraph-ai when xberg is primarily Rust; Scrapegraph-ai is Python; Pricing: Open-source MIT license; enterprise support is available.; Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration; 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: bun, csharp, document-intelligence, elixir; You need to extract not only text but also structured information such as images, tables from over 100 file formats.
- 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.
- When should I avoid xberg?
- You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused
- Is Scrapegraph-ai or xberg more popular on GitHub?
- Scrapegraph-ai has more GitHub stars (31,068 vs 9,128). 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 Scrapegraph-ai alternatives and xberg alternatives (Scrapegraph-ai markdown twin, xberg markdown twin), 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 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 trust report; xberg trust report.