--- title: "crane vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/michaelsauter-crane-vs-panniantong-agent-reach" tools: ["michaelsauter-crane", "panniantong-agent-reach"] --- # crane vs Agent-Reach *GraphCanon updated Jul 15, 2026* ## Verdict Pick crane when crane is primarily Go; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; crane is Go. [crane](https://github.com/michaelsauter/crane) reports 987 GitHub stars, 61 forks, and 14 open issues, last pushed Jul 25, 2023. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [crane's repository](https://github.com/michaelsauter/crane) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [crane](/tools/michaelsauter-crane.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Crane - Lift containers with ease | AI Agent for Automated Web and Social Media Data Extraction | | Stars | 987 | 54,715 | | Forks | 61 | 4,509 | | Open issues | 14 | 144 | | Language | Go | Python | | Adopt for | - | Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crane](/tools/michaelsauter-crane.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1086d | 0d | | Open issues (now) | 14 | 144 | | Full report | [trust report](/tools/michaelsauter-crane/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Decision facts: Agent-Reach - **Adopt for:** Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. ## Choose when ### Choose crane if… - crane is primarily Go; Agent-Reach is Python. - Tags unique to crane: docker, go, orchestration, unison. - Leaner open-issue backlog (14). ### Choose Agent-Reach if… - Agent-Reach is primarily Python; crane is Go. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers Data & Retrieval. - When needing to bypass costly API fees for extensive social media platform data extraction ## When NOT to use crane - Last GitHub push was 1086 days ago (dormant maintenance, Jul 25, 2023). Validate activity before betting a new project on crane. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## When NOT to use Agent-Reach - If strict compliance with website scraping policies is critical due to its use of scraping techniques - When direct interaction through APIs for precision and reliability is preferred over scraping ## Common questions ### What is the difference between crane and Agent-Reach? crane: Crane - Lift containers with ease. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories. ### When should I choose crane over Agent-Reach? Choose crane over Agent-Reach when crane is primarily Go; Agent-Reach is Python; Tags unique to crane: docker, go, orchestration, unison; Leaner open-issue backlog (14). ### When should I choose Agent-Reach over crane? Choose Agent-Reach over crane when Agent-Reach is primarily Python; crane is Go; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction. ### When should I avoid crane? Last GitHub push was 1086 days ago (dormant maintenance, Jul 25, 2023). Validate activity before betting a new project on crane. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### When should I avoid Agent-Reach? If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping ### Is crane or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 987). Stars measure visibility, not whether either tool fits your constraints. ### Are crane and Agent-Reach open source? Yes - both are open-source projects on GitHub (crane: MIT, Agent-Reach: MIT). ### Where can I find alternatives to crane or Agent-Reach? GraphCanon lists graph-backed alternatives at [crane alternatives](/tools/michaelsauter-crane/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([crane markdown twin](/tools/michaelsauter-crane/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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/michaelsauter-crane-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crane or Agent-Reach? crane: Dormant. Agent-Reach: 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 crane and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [crane trust report](/tools/michaelsauter-crane/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=michaelsauter-crane`](/api/graphcanon/graph?tool=michaelsauter-crane) - 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/_