FireCrawl要約ボット

• •Slack Bot Token または Webhook URL
• •ターゲットAPIの認証情報が必要な場合あり
• •OpenAI API Key

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      "parameters": {
        "text": "=Summarize the following article in 3 bullet points:\nTitle: {{ $json.article.title }}\ndescription: {{ $json.meta.description }}\nContent: {{ $json.article.content }}",
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        "promptType": "define"
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      "name": "要約を Slack に送信",
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      "webhookId": "c2e00b18-42bd-49b7-bc4c-05d60633a7c8",
      "parameters": {
        "text": "=🔍 AI Research Summary: \nTitle: {{ $('Filter Relevant Articles').item.json.article.title }}\nLink: {{ $('Filter Relevant Articles').item.json.url }}\nSummary: {{ $json.output }}",
        "select": "channel",
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        "content": "🌐💻 2. Crawling & Filtering\nNodes:\n🌐 Crawl TechCrunch (FireCrawl) (HTTP Request)\n\n🧠 Filter Relevant Articles (Code)\n\n🔍 What these nodes do:\n🌐 Crawl TechCrunch (FireCrawl)\nUses a POST request to FireCrawl’s API\n\nInputs:\n\nurl: Target site (e.g., https://techcrunch.com)\n\ncrawl_type: \"scrape\"\n\nextract_article: true\n\nRetrieves:\n\ntitle, content, author, published_at\n\n🧠 Filter Relevant Articles\nUses a Code node to check if the article is relevant\n\nKeywords like \"AI\", \"machine learning\", \"startup\" are matched\n\nFilters only the articles that matter to your domain"
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        "content": "🤖💬 3. Summarization & Delivery\nNodes:\n🧠 Summarize Article with AI (AI Agent)\n\n🔗 OpenAI Chat (Summarizer) (OpenAI Chat Model)\n\n💬 Send Summary to Slack (Slack)\n\n📌 What happens here:\n🤖 Summarize Article with AI\nPasses the article to a GPT-4 or GPT-3.5 agent\n\nUses a prompt like:\n\n“Summarize the following article in 3 bullet points…”\n\n💡 OpenAI Chat (Summarizer)\nExecutes the actual summarization\n\nOutputs a short, clean summary ideal for fast reading\n\n💬 Send Summary to Slack\nPosts the summary to a specific Slack channel (e.g., #market-research)"
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        "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
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        "content": "Absolutely! Here's your **Market Research Automation Workflow** beautifully divided into logical sections, with clear explanations and fitting icons to help you grasp each part at a glance.\n\n---\n\n# 🚀 **n8n Market Research Automation Workflow**\n\nAutomate the process of **crawling news sites**, **filtering for relevant content**, **summarizing it with AI**, and **posting it to Slack** — all in a seamless flow.\n\n---\n\n## ⏰ 1. **Trigger & Scheduling**\n\n**Node:** `🕒 Daily Market Research Trigger`\n\n> Starts the workflow on a recurring schedule.\n\n🔧 **What it does:**\n\n* Runs every morning (or your defined time)\n* Ensures your team receives fresh updates daily\n\n📅 **Example Cron Setting:**\n\n* Every day at 8:00 AM\n\n---\n\n## 🌐💻 2. **Crawling & Filtering**\n\n### **Nodes:**\n\n* `🌐 Crawl TechCrunch (FireCrawl)` *(HTTP Request)*\n* `🧠 Filter Relevant Articles` *(Code)*\n\n### 🔍 What these nodes do:\n\n#### 🌐 **Crawl TechCrunch (FireCrawl)**\n\n* Uses a **POST** request to FireCrawl’s API\n* Inputs:\n\n  * `url`: Target site (e.g., `https://techcrunch.com`)\n  * `crawl_type`: `\"scrape\"`\n  * `extract_article`: `true`\n* Retrieves:\n\n  * `title`, `content`, `author`, `published_at`\n\n#### 🧠 **Filter Relevant Articles**\n\n* Uses a `Code` node to check if the article is relevant\n* Keywords like `\"AI\"`, `\"machine learning\"`, `\"startup\"` are matched\n* Filters only the articles that **matter to your domain**\n\n📄 **Sample Code:**\n\n```javascript\nconst keywords = ['AI', 'machine learning', 'startup', 'generative'];\nconst results = [];\n\nfor (const item of items) {\n  const title = item.json.article?.title?.toLowerCase() || '';\n  const content = item.json.article?.content?.toLowerCase() || '';\n\n  const isRelevant = keywords.some(keyword =>\n    title.includes(keyword.toLowerCase()) ||\n    content.includes(keyword.toLowerCase())\n  );\n\n  if (isRelevant) {\n    results.push(item); // keep only relevant articles\n  }\n}\n\nreturn results;\n```\n\n---\n\n## 🤖💬 3. **Summarization & Delivery**\n\n### **Nodes:**\n\n* `🧠 Summarize Article with AI` *(AI Agent)*\n* `🔗 OpenAI Chat (Summarizer)` *(OpenAI Chat Model)*\n* `💬 Send Summary to Slack` *(Slack)*\n\n### 📌 What happens here:\n\n#### 🤖 **Summarize Article with AI**\n\n* Passes the article to a GPT-4 or GPT-3.5 agent\n* Uses a prompt like:\n\n  > “Summarize the following article in 3 bullet points…”\n\n#### 💡 **OpenAI Chat (Summarizer)**\n\n* Executes the actual summarization\n* Outputs a short, clean summary ideal for fast reading\n\n#### 💬 **Send Summary to Slack**\n\n* Posts the summary to a specific Slack channel (e.g., `#market-research`)\n* Message format example:\n\n  ```\n  🔍 *Market Research Summary*\n  *Title:* OpenAI launches GPT-5\n  *Link:* https://techcrunch.com/article\n  *Summary:*\n  - GPT-5 improves reasoning\n  - Enhanced safety mechanisms\n  - Better multilingual performance\n  ```\n\n"
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    "Crawl TechCrunch (FireCrawl)": [
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        "json": {
          "url": "https://techcrunch.com",
          "meta": {
            "description": "The latest technology news and information on startups."
          },
          "title": "TechCrunch - Startup and Technology News",
          "status": "success",
          "article": {
            "title": "OpenAI launches GPT-5",
            "author": "Jane Doe",
            "content": "OpenAI has officially released GPT-5, a major upgrade with enhanced reasoning and safety improvements...",
            "published_at": "2025-05-28T13:00:00Z"
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