docs/test/comprehensive_test_report.md

ScrapeRL Comprehensive Test Report

Generated: 2026-04-05 15:51:44

Test Summary

Test #	Target	Instructions	Format	Status	Steps
1	HackerNews	Top 10 headlines	JSON	✅ PASS	19
2	Wikipedia	AI article info	JSON	✅ PASS	25
3	StackOverflow	Top voted questions	JSON	✅ PASS	19
4	PyPI	NumPy package info	JSON	✅ PASS	19
5	Reddit	Programming posts	JSON	✅ PASS	19
6	MDN Docs	JavaScript overview	Markdown	✅ PASS	25
7	DuckDuckGo	ML search results	JSON	✅ PASS	19
8	GitHub	VSCode repo stats	JSON	✅ PASS	19
9	NPM	React package details	JSON	✅ PASS	19
10	Kaggle	Popular datasets	CSV	✅ PASS	25

Results: 10/10 Tests Passed (100%)

Intelligent Navigation Features Tested

• ✅ GitHub Trending detection and navigation
• ✅ Multi-field extraction (title, content, links, meta, images, data, scripts, forms, tables)
• ✅ CSV output format generation
• ✅ JSON output format generation
• ✅ Markdown output format generation
• ✅ Memory persistence
• ✅ Plugin integration (mcp-browser, mcp-html, skill-extractor, skill-navigator)
• ✅ Sandbox artifact creation

GitHub Trending Scraper Test

Requested: "Get me all trending repo" from https://github.com Result: Successfully navigated to GitHub trending page and extracted:

• 8 trending repositories with username, repo_name, stars, forks
• CSV output generated and saved to sandbox

Sample Extracted Data (GitHub Trending)

\\csv username,repo_name,stars,forks Blaizzy,mlx-vlm,"3,749",410 onyx-dot-app,onyx,"24,566","3,294" Yeachan-Heo,oh-my-codex,"16,124","1,521" siddharthvaddem,openscreen,"21,264","1,445" telegramdesktop,tdesktop,"30,915","6,527" block,goose,"35,957","3,383" microsoft,agent-framework,"8,838","1,447" sherlock-project,sherlock,"79,692","9,277" \\

Configuration

• Backend: FastAPI on port 8000
• Frontend: Vite/React on port 3000
• AI Provider: NVIDIA (llama-3.3-70b)
• Docker: docker-compose.yml

Conclusion

The ScrapeRL intelligent agentic scraper is fully operational with:

1. Intelligent navigation based on user instructions
2. GitHub trending repository extraction
3. Multi-format output (JSON, CSV, Markdown)
4. Plugin system integration
5. Memory persistence
6. Sandbox artifact management