Tägliche Gmail-Posteingangszusammenfassung an Discord (GPT-4.1-mini + PDF-Konvertierung)

• •Google-Konto + Gmail API-Anmeldedaten
• •Discord Bot Token oder Webhook
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •OpenAI API Key

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        "content": "= {{ $('separate text and markdown').item.json.plainText }}",
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        "jsCode": "// n8n Code node (JavaScript)\n\n// Helper: decode Gmail's base64url\nfunction decodeBase64Url(str) {\n  if (!str) return \"\";\n  str = str.replace(/-/g, '+').replace(/_/g, '/');\n  return Buffer.from(str, 'base64').toString('utf8');\n}\n\n// Helper: clean text\nfunction cleanText(txt) {\n  if (!txt) return \"\";\n\n  return txt\n    // remove long URLs\n    .replace(/https?:\\/\\/\\S+/g, \"\")\n    // remove multiple stars/dashes\n    .replace(/[*]{3,}|[-]{3,}/g, \"\")\n    // remove extra blank lines\n    .replace(/\\n\\s*\\n\\s*\\n+/g, \"\\n\\n\")\n    // trim\n    .trim();\n}\n\nconst items = $input.all();\nconst returnData = [];\n\nfor (let i = 0; i < items.length; i++) {\n  const email = items[i].json;\n  let plainText = \"\";\n\n  // Case 1: direct body\n  if (email?.payload?.body?.data) {\n    plainText = decodeBase64Url(email.payload.body.data);\n  }\n\n  // Case 2: multipart body\n  if (!plainText && Array.isArray(email?.payload?.parts)) {\n    for (const part of email.payload.parts) {\n      if (part.mimeType === \"text/plain\" && part.body?.data) {\n        plainText = decodeBase64Url(part.body.data);\n        break;\n      }\n    }\n  }\n\n  // Fallback if you already had email.text\n  if (!plainText && email.text) {\n    plainText = email.text;\n  }\n\n  const extractedData = {\n    id: email.id || \"\",\n    subject: email.subject || email.payload?.headers?.find(h => h.name === \"Subject\")?.value || \"\",\n    from: email.from?.text || email.from || email.payload?.headers?.find(h => h.name === \"From\")?.value || \"\",\n    to: email.to?.text || email.to || email.payload?.headers?.find(h => h.name === \"To\")?.value || \"\",\n    plainText: cleanText(plainText),\n  };\n\n  returnData.push({ json: extractedData });\n}\n\nreturn returnData;\n"
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        "filters": {
          "labelIds": [
            "INBOX",
            "IMPORTANT"
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          "receivedAfter": "={{$now.minus({days: 1}).toISO()}}"
        },
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        "operation": "getAll",
        "returnAll": true
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      "position": [
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        "height": 320,
        "content": "## extract fields and aggregate\n- sender\n- subject\n- body"
      },
      "typeVersion": 1
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      "id": "5a0a95ad-14a7-484a-94c2-ef6a582151fa",
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      "position": [
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      "parameters": {
        "width": 208,
        "height": 208,
        "content": "## get mails\n- Important and inbox"
      },
      "typeVersion": 1
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      "name": "Kurznotiz",
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        "height": 256,
        "content": "## daily trigger"
      },
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      "name": "Text und Markdown trennen",
      "type": "n8n-nodes-base.code",
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        "jsCode": "const output = $json[\"output\"][\"text\"];\n\n// Match plain text - works for both \"PLAIN TEXT\" and \"PLAIN TEXT DIGEST\"\nconst plainText = output.match(/PLAIN TEXT(?: DIGEST)?:\\s*([\\s\\S]*?)(?:\\n\\n---\\n\\nMARKDOWN DIGEST:|\\n\\nMARKDOWN:)/)?.[1]?.trim();\n\n// Match markdown - works for both \"MARKDOWN\" and \"MARKDOWN DIGEST\"\nconst markdown = output.match(/MARKDOWN(?: DIGEST)?:\\s*([\\s\\S]*)/)?.[1]?.trim();\n\nreturn [{\n  plainText,\n  markdown\n}];\n"
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        "height": 480,
        "content": "## summarize all mails\n- ### model used gpt 4o-mini"
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        "width": 432,
        "height": 240,
        "content": "## convert markdown to html and convert html to pdf using PDFco Api"
      },
      "typeVersion": 1
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "height": 336,
        "content": "## Download PDF\n- ### using link generated from pdfco"
      },
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      "parameters": {
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        "height": 304,
        "content": "## Send discord\n- using webhook\n- result will contain summary and a pdf of summary"
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