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File size: 2,604 Bytes
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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
## document-flow
```mermaid
flowchart TD
A[document] --> B[key-sections]
B --> C[implementation]
B --> D[operations]
B --> E[validation]
```
## related-api-reference
| item | value |
| --- | --- |
| api-reference | `api-reference.md` |
|