Spaces:
Sleeping
Sleeping
| # 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 | |