Abstract
Squirrelscan is an open-source Digital Marketing & SEO project. The website QA tool for your coding agent. 295+ audit rules across SEO, performance, security, accessibility and agent experience. squirrelscan is an Open Source cli tool that audits websites for SEO, performance, security, accessibility, agent experience and other issues, and gives your coding agent exact fixes. Run it from the CLI, inside your coding agent, in the cloud, or over MCP. It is built using TypeScript. Key capabilities include: 295 Rules, 21 Categories - Comprehensive coverage across SEO, accessibility, performance, and security; Fast crawler - Highly optimized memory efficient crawler; Agent Experience - Audit agent experience to assist agents in using your site. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
squirrelscan is an Open Source cli tool that audits websites for SEO, performance, security, accessibility, agent experience and other issues, and gives your coding agent exact fixes. Run it from the CLI, inside your coding agent, in the cloud, or over MCP.
Combine your coding agent with a deterministic and extensible audit tool.
Ordered by how much a failure usually costs you, not by how many rules each one has.
2. Objective
The website QA tool for your coding agent. 295+ audit rules across SEO, performance, security, accessibility and agent experience.
This project demonstrates how TypeScript can be applied to a real-world Digital Marketing & SEO problem.
3. Key Features / Modules
- 295 Rules, 21 Categories - Comprehensive coverage across SEO, accessibility, performance, and security
- Fast crawler - Highly optimized memory efficient crawler
- Agent Experience - Audit agent experience to assist agents in using your site
- Security Audit - Detect phishing kits, leaked credentials, and more
- Smart Incremental Crawling - ETag, Last-Modified, content hashing. Resume from checkpoints.
- Developer-First CLI - Single binary, zero dependencies, shell completions, self-update
- Crawl History & Changes - Track site evolution, compare crawls, spot regressions
- Multiple Output Formats - Console, JSON, HTML, Markdown, Text, LLM, XML
- MCP Connection - Connect your agent to local or cloud MCP to run audits, fixes, etc.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm / yarn / pnpm
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/squirrelscan/squirrelscan.git
cd squirrelscancurl -fsSL https://install.squirrelscan.com | bashiwr -useb https://install.squirrelscan.com/install.ps1 | iexnpm install -g squirrelscannpx squirrelscan audit example.comFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by squirrelscan and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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