--- title: "autoscraper vs awesome-n8n-templates" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alirezamika-autoscraper-vs-enescingoz-awesome-n8n-templates" tools: ["alirezamika-autoscraper", "enescingoz-awesome-n8n-templates"] --- # autoscraper vs awesome-n8n-templates *GraphCanon updated Jul 15, 2026* ## Verdict Pick autoscraper when license: autoscraper is MIT, awesome-n8n-templates is Other; pick awesome-n8n-templates when license: awesome-n8n-templates is Other, autoscraper is MIT. [autoscraper](https://github.com/alirezamika/autoscraper) reports 7.6k GitHub stars, 779 forks, and 0 open issues, last pushed Jun 9, 2025. [awesome-n8n-templates](https://n8n.partnerlinks.io/h1pwwf5m4toe) has 24k stars, 6.2k forks, and 25 open issues, last pushed Jul 6, 2026. Figures are from public GitHub metadata via [autoscraper's repository](https://github.com/alirezamika/autoscraper) and [awesome-n8n-templates's repository](https://github.com/enescingoz/awesome-n8n-templates). | | [autoscraper](/tools/alirezamika-autoscraper.md) | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | | --- | --- | --- | | Tagline | A Smart, Automatic, Fast and Lightweight Web Scraper for Python | Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps. | | Stars | 7,603 | 23,810 | | Forks | 779 | 6,240 | | Open issues | 0 | 25 | | Language | Python | - | | Adopt for | - | awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoscraper](/tools/alirezamika-autoscraper.md) | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 400d | 5d | | Open issues (now) | 0 | 25 | | Full report | [trust report](/tools/alirezamika-autoscraper/trust.md) | [trust report](/tools/enescingoz-awesome-n8n-templates/trust.md) | ## Decision facts: awesome-n8n-templates - **Pricing:** freemium - The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费 - **Requirements:** * Requires an active account on n8n to import and utilize templates. - **Adopt for:** awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps. ## Choose when ### Choose autoscraper if… - License: autoscraper is MIT, awesome-n8n-templates is Other. - Tags unique to autoscraper: ai, artificial-intelligence, automation, crawler. - Leaner open-issue backlog (0). ### Choose awesome-n8n-templates if… - License: awesome-n8n-templates is Other, autoscraper is MIT. - Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费. - Requirements: * Requires an active account on n8n to import and utilize templates.. - Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, no-code-automation. - Also covers AI Agents. - * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc. ## When NOT to use autoscraper - Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use awesome-n8n-templates - * When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development. - * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific.json template files. ## Common questions ### What is the difference between autoscraper and awesome-n8n-templates? autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python. awesome-n8n-templates: Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autoscraper over awesome-n8n-templates? Choose autoscraper over awesome-n8n-templates when License: autoscraper is MIT, awesome-n8n-templates is Other; Tags unique to autoscraper: ai, artificial-intelligence, automation, crawler; Leaner open-issue backlog (0). ### When should I choose awesome-n8n-templates over autoscraper? Choose awesome-n8n-templates over autoscraper when License: awesome-n8n-templates is Other, autoscraper is MIT; Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费; Requirements: * Requires an active account on n8n to import and utilize templates.; Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, no-code-automation; Also covers AI Agents; * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc. ### When should I avoid autoscraper? Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid awesome-n8n-templates? * When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development. * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific.json template files. ### Is autoscraper or awesome-n8n-templates more popular on GitHub? awesome-n8n-templates has more GitHub stars (23,810 vs 7,603). Stars measure visibility, not whether either tool fits your constraints. ### Are autoscraper and awesome-n8n-templates open source? Yes - both are open-source projects on GitHub (autoscraper: MIT, awesome-n8n-templates: Other). ### Where can I find alternatives to autoscraper or awesome-n8n-templates? GraphCanon lists graph-backed alternatives at [autoscraper alternatives](/tools/alirezamika-autoscraper/alternatives) and [awesome-n8n-templates alternatives](/tools/enescingoz-awesome-n8n-templates/alternatives) ([autoscraper markdown twin](/tools/alirezamika-autoscraper/alternatives.md), [awesome-n8n-templates markdown twin](/tools/enescingoz-awesome-n8n-templates/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-enescingoz-awesome-n8n-templates.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autoscraper or awesome-n8n-templates? autoscraper: Dormant. awesome-n8n-templates: 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-n8n-templates? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoscraper trust report](/tools/alirezamika-autoscraper/trust); [awesome-n8n-templates trust report](/tools/enescingoz-awesome-n8n-templates/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/_