--- title: "Scrapling vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-wshobson-agents" tools: ["d4vinci-scrapling", "wshobson-agents"] --- # Scrapling vs agents *GraphCanon updated Aug 25, 2026* ## Verdict Pick Scrapling if scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [Scrapling](https://scrapling.readthedocs.io/en/latest/) reports 76k GitHub stars, 7.6k forks, and 0 open issues, last pushed Aug 24, 2026. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [agents's repository](https://github.com/wshobson/agents). | | [Scrapling](/tools/d4vinci-scrapling.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | An adaptive Web Scraping framework | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 76,447 | 38,928 | | Forks | 7,649 | 4,145 | | Open issues | 0 | 5 | | Language | Python | Python | | Adopt for | Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Data & Retrieval, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 0 | 5 | | Stars delta | +5.2k (30d) | +860 (30d) | | Open issues delta | -5 (30d) | +2 (30d) | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: Scrapling - **Adopt for:** Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, agents is MIT. - Tags unique to Scrapling: ai-scraping, crawler, data-extraction, playwright. - Also covers Data & Retrieval. - Scrapling ships Docker support for self-hosted deployment. - When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements ### Choose agents if… - License: agents is MIT, Scrapling is BSD-3-Clause. - Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows. - Also covers AI Agents. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use Scrapling - Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python - Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between Scrapling and agents? Scrapling: An adaptive Web Scraping framework. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapling over agents? Choose Scrapling over agents when License: Scrapling is BSD-3-Clause, agents is MIT; Tags unique to Scrapling: ai-scraping, crawler, data-extraction, playwright; Also covers Data & Retrieval; Scrapling ships Docker support for self-hosted deployment; When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements. ### When should I choose agents over Scrapling? Choose agents over Scrapling when License: agents is MIT, Scrapling is BSD-3-Clause; Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid Scrapling? Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is Scrapling or agents more popular on GitHub? Scrapling has more GitHub stars (76,447 vs 38,928). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and agents open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, agents: MIT). ### Where can I find alternatives to Scrapling or agents? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/alternatives.md), [agents markdown twin](/tools/wshobson-agents/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-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapling or agents? Scrapling: Very active. agents: 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 agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [agents trust report](/tools/wshobson-agents/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/_