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Data Scraper Agent

Community
mturac
data-scraper-agent

任意のパブリックソース(ジョブボード、価格、ニュース、GitHub、スポーツなど)用の完全自動化されたAI搭載データ収集エージェントを構築します。スケジュールでスクレイプし、無料LLM(Gemini Flash)でデータを豊かにし、Notion/Sheets/Supabaseに結果を保存し、ユーザーフィードバックから学習します。GitHub Actions上で100%無料で実行。ユーザーがパブリックデータを自動的に監視、収集、または追跡したい場合に使用します。

Overview

Publishermturac
Repositoryeverything-openai-codex
Skill namedata-scraper-agent
Stars
91
Forks
2
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mturac on GitHub. Read the source before you install it.

Installation

Install the Data Scraper Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mturac/everything-openai-codex.git /tmp/everything-openai-codex
mkdir -p .claude/skills
cp -r /tmp/everything-openai-codex/docs/ja-JP/skills/data-scraper-agent .claude/skills/data-scraper-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Scraper Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Data Scraper Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Data Scraper Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

データスクレイパーエージェント

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

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
  • ユーザーが「チェックするボットを構築」「Xを監視」「データを収集」と言う
  • ユーザーがジョブ、価格、ニュース、リポ、スポーツスコア、イベント、リストを追跡したい場合
  • ユーザーがホスティング用に支払わずにデータ収集を自動化する方法を尋ねる
  • ユーザーが決定に基づいて時間とともにより スマートになるエージェントを望む

コアコンセプト

3つのレイヤー

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

無料スタック

LayerToolWhy
COLLECTPlaywright/BeautifulSoup無料のオープンソーススクレイピング
ENRICHGemini Flash無料で高速LLM
STORESupabase / Sheets無料データベースとスプレッドシート
SCHEDULEGitHub Actions無料クロンジョブ

ワークフロー

  1. ソースを定義 - どこからスクレイプするか、何を抽出するか
  2. スクレイパーを構築 - BeautifulSoup または Playwright ベースのコレクタ
  3. LLMを構成 - Gemini Flash でテキストをスコア付け/要約/分類
  4. ストレージを設定 - Notion、Sheets、Supabase のいずれか
  5. GitHub Actions を設定 - 毎日/毎週実行するスケジュール
  6. フィードバックループを追加 - ユーザーの判断から学習

  • ジョブボード監視:新しい公開

Frequently asked questions

What does the Data Scraper Agent AI skill do?

任意のパブリックソース(ジョブボード、価格、ニュース、GitHub、スポーツなど)用の完全自動化されたAI搭載データ収集エージェントを構築します。スケジュールでスクレイプし、無料LLM(Gemini Flash)でデータを豊かにし、Notion/Sheets/Supabaseに結果を保存し、ユーザーフィードバックから学習します。GitHub Actions上で100%無料で実行。ユーザーがパブリックデータを自動的に監視、収集、または追跡したい場合に使用します。

Why use Data Scraper Agent on TypingMind?

Because you install it once and use it with any model. Data Scraper Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Data Scraper Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mturac/everything-openai-codex/tree/main/docs/ja-JP/skills/data-scraper-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Data Scraper Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Data Scraper Agent?

As many as you like. As long as a model supports skills, you can use Data Scraper Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Data Scraper Agent AI skill free?

Yes. It is published on GitHub by mturac under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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