--- title: "Scrapling vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-panniantong-agent-reach" tools: ["d4vinci-scrapling", "panniantong-agent-reach"] --- # Scrapling vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick Scrapling when license: Scrapling is BSD-3-Clause, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, Scrapling is BSD-3-Clause. [Scrapling](https://scrapling.readthedocs.io/en/latest/) reports 69k GitHub stars, 6.8k forks, and 3 open issues, last pushed Jul 8, 2026. [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 [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [Scrapling](/tools/d4vinci-scrapling.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 69,097 | 54,715 | | Forks | 6,836 | 4,509 | | Open issues | 3 | 144 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Data & Retrieval, Developer Tools | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 3 | 144 | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, Agent-Reach is MIT. - Tags unique to Scrapling: ai, ai-scraping, crawler, crawling. - Also covers Data & Retrieval. ### Choose Agent-Reach if… - License: Agent-Reach is MIT, Scrapling is BSD-3-Clause. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili. - Also covers AI Agents, LLM Frameworks. ## When NOT to use Scrapling - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Agent-Reach - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Scrapling and Agent-Reach? Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapling over Agent-Reach? Choose Scrapling over Agent-Reach when License: Scrapling is BSD-3-Clause, Agent-Reach is MIT; Tags unique to Scrapling: ai, ai-scraping, crawler, crawling; Also covers Data & Retrieval. ### When should I choose Agent-Reach over Scrapling? Choose Agent-Reach over Scrapling when License: Agent-Reach is MIT, Scrapling is BSD-3-Clause; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; Also covers AI Agents, LLM Frameworks. ### When should I avoid Scrapling? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Agent-Reach? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Scrapling or Agent-Reach more popular on GitHub? Scrapling has more GitHub stars (69,097 vs 54,715). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and Agent-Reach open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, Agent-Reach: MIT). ### Where can I find alternatives to Scrapling or Agent-Reach? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/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/d4vinci-scrapling-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, Scrapling or Agent-Reach? Scrapling: Very active. 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 Scrapling and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=d4vinci-scrapling`](/api/graphcanon/graph?tool=d4vinci-scrapling) - 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/_