--- title: "autoscraper vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alirezamika-autoscraper-vs-sindresorhus-awesome" tools: ["alirezamika-autoscraper", "sindresorhus-awesome"] --- # autoscraper vs awesome *GraphCanon updated Sep 20, 2026* ## Verdict Pick autoscraper if autoscraper is specialized for Python developers who require fast and lightweight web scraping with an emphasis on automation. It offers smart automatic features to simplify the process of extracting data from websites; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [autoscraper](https://github.com/alirezamika/autoscraper) reports 8.0k GitHub stars, 826 forks, and 1 open issues, last pushed Jul 29, 2026. [awesome](https://github.com/sindresorhus/awesome) has 503k stars, 37k forks, and 106 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [autoscraper's repository](https://github.com/alirezamika/autoscraper) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [autoscraper](/tools/alirezamika-autoscraper.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | A Smart Automatic Fast and Lightweight Web Scraper for Python | 😎 Awesome lists about all kinds of interesting topics | | Stars | 7,985 | 502,873 | | Forks | 826 | 36,704 | | Open issues | 1 | 106 | | Language | Python | - | | Adopt for | Autoscraper is specialized for Python developers who require fast and lightweight web scraping with an emphasis on automation. It offers smart automatic features to simplify the process of extracting data from websites. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoscraper](/tools/alirezamika-autoscraper.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 52d | 2d | | Open issues (now) | 1 | 106 | | Stars delta | +146 (30d) | +11k (30d) | | Open issues delta | 0 (30d) | +6 (30d) | | Full report | [trust report](/tools/alirezamika-autoscraper/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: autoscraper - **Adopt for:** Autoscraper is specialized for Python developers who require fast and lightweight web scraping with an emphasis on automation. It offers smart automatic features to simplify the process of extracting data from websites. ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose autoscraper if… - License: autoscraper is MIT, awesome is CC0-1.0. - Tags unique to autoscraper: ai, artificial-intelligence, automation, machine-learning. - When working within Python projects where automatic, quick, and relatively simple web scraping tasks are required without complex setup or configurations. ### Choose awesome if… - License: awesome is CC0-1.0, autoscraper is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use autoscraper - If your project necessitates advanced customization options not inherently provided by Autoscraper's automatic functionalities. - For use cases requiring integration with non-Python frameworks or environments as Autoscraper is exclusive to Python development. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between autoscraper and awesome? autoscraper: A Smart Automatic Fast and Lightweight Web Scraper for Python. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose autoscraper over awesome? Choose autoscraper over awesome when License: autoscraper is MIT, awesome is CC0-1.0; Tags unique to autoscraper: ai, artificial-intelligence, automation, machine-learning; When working within Python projects where automatic, quick, and relatively simple web scraping tasks are required without complex setup or configurations. ### When should I choose awesome over autoscraper? Choose awesome over autoscraper when License: awesome is CC0-1.0, autoscraper is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid autoscraper? If your project necessitates advanced customization options not inherently provided by Autoscraper's automatic functionalities. For use cases requiring integration with non-Python frameworks or environments as Autoscraper is exclusive to Python development. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is autoscraper or awesome more popular on GitHub? awesome has more GitHub stars (502,873 vs 7,985). Stars measure visibility, not whether either tool fits your constraints. ### Are autoscraper and awesome open source? Yes - both are open-source projects on GitHub (autoscraper: MIT, awesome: CC0-1.0). ### Where can I find alternatives to autoscraper or awesome? GraphCanon lists graph-backed alternatives at [autoscraper alternatives](/tools/alirezamika-autoscraper/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([autoscraper markdown twin](/tools/alirezamika-autoscraper/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/alirezamika-autoscraper-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autoscraper or awesome? autoscraper: Steady. awesome: 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 autoscraper and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoscraper trust report](/tools/alirezamika-autoscraper/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alirezamika-autoscraper`](/api/graphcanon/graph?tool=alirezamika-autoscraper) - 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/_