アクティベーション時期
ユーザーが任意のパブリックWebサイトまたはAPIをスクレイプまたは監視したい場合
affaan-m/ECC
Review data-scraper-agent's use cases, installation, workflow, and original source instructions.
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/data-scraper-agent"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Limited to facts supported by the pinned source
任意のパブリックデータソース用の本番環境対応、AI搭載データ収集エージェントを構築。 スケジュールで実行され、無料LLMで結果を豊かにし、データベースに保存し、時間とともに改善されます。
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/data-scraper-agent"The pinned source contains about 63 English words and 6 usable sections. That evidence supports a source profile, not a complete guide.
63 source words · 6 usable sections
What the source actually contains
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
ユーザーが任意のパブリックWebサイトまたはAPIをスクレイプまたは監視したい場合
すべてのデータスクレイパーエージェントには3つのレイヤーがあります:
すべてのデータスクレイパーエージェントには3つのレイヤーがあります:
Choose a different workflow
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailUse it for testing and engineering tasks; the detail page covers purpose, installation, and practical steps.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
The source record exposes this install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/data-scraper-agent". Inspect the command and pinned source before running it.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Use it for testing and engineering tasks; the detail page covers purpose, installation, and practical steps.
任意のパブリックデータソース用の本番環境対応、AI搭載データ収集エージェントを構築。 スケジュールで実行され、無料LLMで結果を豊かにし、データベースに保存し、時間とともに改善されます。
スタック:Python · Gemini Flash(無料) · GitHub Actions(無料) · Notion / Sheets / Supabase
すべてのデータスクレイパーエージェントには3つのレイヤーがあります:
COLLECT → ENRICH → STORE
│ │ │
Scraper AI (LLM) Database
runs on scores/ Notion /
schedule summarises Sheets /
& classifies Supabase
| Layer | Tool | Why |
|---|---|---|
| COLLECT | Playwright/BeautifulSoup | 無料のオープンソーススクレイピング |
| ENRICH | Gemini Flash | 無料で高速LLM |
| STORE | Supabase / Sheets | 無料データベースとスプレッドシート |
| SCHEDULE | GitHub Actions | 無料クロンジョブ |