Newsletter-Automatisierung

Experte

Dies ist ein Social Media, AI Summarization-Bereich Automatisierungsworkflow mit 33 Nodes. Hauptsächlich werden If, Set, Code, Gmail, Merge und andere Nodes verwendet. Ein personalisierter KI-Nachrichtendienst mit RSS-Abonnements und Gmail unter Verwendung von QWEN und Gemma erstellen

Voraussetzungen
  • Google-Konto + Gmail API-Anmeldedaten
  • PostgreSQL-Datenbankverbindungsdaten
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "D52UhboStgsiDVAm",
  "meta": {
    "instanceId": "7d384291e91e15297c920da411b4548e6ae4d741e04867a6c78ba5c13a77872b",
    "templateCredsSetupCompleted": true
  },
  "name": "Newsletter_Automation",
  "tags": [
    {
      "id": "t8g1bzyYGQM5ggH6",
      "name": "Gmail",
      "createdAt": "2025-06-26T18:21:38.576Z",
      "updatedAt": "2025-06-26T18:21:38.576Z"
    },
    {
      "id": "qIGNsK2mwRhrvcaf",
      "name": "Postgres",
      "createdAt": "2025-06-26T18:21:42.917Z",
      "updatedAt": "2025-06-26T18:21:42.917Z"
    },
    {
      "id": "clxg6SupwN47TnEt",
      "name": "RSS",
      "createdAt": "2025-06-26T18:21:48.079Z",
      "updatedAt": "2025-06-26T18:21:48.079Z"
    },
    {
      "id": "cYOPW2d1pSfhhhgG",
      "name": "n8n-local",
      "createdAt": "2025-06-26T18:22:07.129Z",
      "updatedAt": "2025-06-26T18:22:07.129Z"
    }
  ],
  "nodes": [
    {
      "id": "123481d3-0b79-4714-9a0e-25029d68342e",
      "name": "Bei Klick auf 'Workflow ausführen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -2000,
        -540
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "4ef0bcc5-7dca-41e6-adb5-0ef214c1e775",
      "name": "RSS lesen",
      "type": "n8n-nodes-base.rssFeedRead",
      "position": [
        -1640,
        -520
      ],
      "parameters": {
        "url": "https://www.all-ai.de/index.php?option=com_jmap&view=sitemap&format=rss",
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "ae5263dc-0d4a-433a-9a8a-fc40603cea53",
      "name": "Informationen reduzieren",
      "type": "n8n-nodes-base.set",
      "position": [
        -1040,
        -400
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b99f2b41-0485-4100-a5fd-7d3a37134753",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "ed255d97-648b-4ee5-8752-4eb7656d288c",
              "name": "link",
              "type": "string",
              "value": "={{ $json.link }}"
            },
            {
              "id": "9ba890ae-c693-46b9-9082-f342cae52ba4",
              "name": "isoDate",
              "type": "string",
              "value": "={{ $json.isoDate }}"
            },
            {
              "id": "e2837fee-e337-47b9-8fd3-39c8cf1e25fd",
              "name": "content",
              "type": "string",
              "value": "={{ $json.content }}"
            },
            {
              "id": "00c5dbec-9f43-4cf2-b1d4-d14e56cc2075",
              "name": "word_count",
              "type": "string",
              "value": "={{ $json.word_count }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "153c2704-db7a-437f-b86e-afcc81fef4f1",
      "name": "Ausgabe parsen nach JSON",
      "type": "n8n-nodes-base.code",
      "position": [
        -300,
        -580
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const input = $json.text || $json.data || $json.body || $input.item.json.text;\nconst match = input.match(/{[\\s\\S]*?}/);\n\nif (!match) {\n  throw new Error(\"No JSON object found in the input text.\");\n}\n\nlet parsed;\ntry {\n  parsed = JSON.parse(match[0]);\n} catch (e) {\n  throw new Error(\"Failed to parse JSON: \" + e.message);\n}\n\n// Return a single object (not an array!) in 'Run Once for Each Item' mode\nreturn { json: parsed };\n"
      },
      "typeVersion": 2
    },
    {
      "id": "e7067f37-1574-4340-85e5-d34c2e441b03",
      "name": "Daten zusammenführen (LLM+RSS)",
      "type": "n8n-nodes-base.merge",
      "position": [
        -360,
        -120
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "fieldsToMatchString": "title"
      },
      "typeVersion": 3.2
    },
    {
      "id": "b3647c5b-2d39-4592-bcfa-1a59602e8e78",
      "name": "Bewertung 7+",
      "type": "n8n-nodes-base.if",
      "position": [
        -80,
        -580
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "c0ce5ff3-8686-4c97-a314-26e1163fb80c",
              "operator": {
                "type": "number",
                "operation": "gte"
              },
              "leftValue": "={{ $json.rating }}",
              "rightValue": 7
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "821473dc-ec1b-4abc-9256-7db14ca6df04",
      "name": "Keine Aktion, nichts tun1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -300,
        -400
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "51469de3-d400-4410-93f9-30bfe3df7a1b",
      "name": "Ausgabe parsen JSON",
      "type": "n8n-nodes-base.code",
      "onError": "continueErrorOutput",
      "position": [
        180,
        -300
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Try to get the input text from common fields\nconst input =\n  $json.text ||\n  $json.data ||\n  $json.body ||\n  $json.content ||\n  $input.item.json.text ||\n  $input.item.json.content ||\n  \"\";\n\n// Regex to match the first JSON object in the text (non-greedy)\nconst match = input.match(/{[\\s\\S]*?}/);\n\nif (!match) {\n  throw new Error(\"No JSON object found in the input text.\");\n}\n\nlet jsonString = match[0];\n\n// Clean up: Remove unescaped line breaks and fix bad escape sequences\njsonString = jsonString\n  // Replace unescaped line breaks inside JSON strings with \\n\n  .replace(/([^\\\\])\\\\n/g, '$1\\\\\\\\n') // double-escape existing \\n\n  .replace(/\\\\(?![\"\\\\/bfnrtu])/g, '\\\\\\\\') // escape lone backslashes\n  .replace(/[\\r\\n]+/g, ' '); // replace all CR/LF with space\n\nlet parsed;\ntry {\n  parsed = JSON.parse(jsonString);\n} catch (e) {\n  throw new Error(\"Failed to parse JSON: \" + e.message + \"\\nCleaned JSON: \" + jsonString);\n}\n\n// Only return title and summary\nreturn {\n  title: parsed.title,\n  summary: parsed.summary\n};\n"
      },
      "retryOnFail": true,
      "typeVersion": 2
    },
    {
      "id": "98a20c9b-c1e8-4f3e-a7e2-0c834f3e040f",
      "name": "Daten zusammenführen (Zusammenfassung + Rest)",
      "type": "n8n-nodes-base.merge",
      "onError": "continueRegularOutput",
      "position": [
        420,
        -140
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "fieldsToMatchString": "title"
      },
      "retryOnFail": true,
      "typeVersion": 3.2
    },
    {
      "id": "2146269b-3af2-4b27-9935-9cb78254466b",
      "name": "Keine Aktion, nichts tun2",
      "type": "n8n-nodes-base.noOp",
      "position": [
        420,
        -340
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f3a0385f-ccc0-4c33-8990-e06d5d602dcc",
      "name": "HTML-E-Mail formatieren",
      "type": "n8n-nodes-base.code",
      "position": [
        780,
        -500
      ],
      "parameters": {
        "jsCode": "let html = `<h1>Dein KI-Newsletter</h1>`;\nfor (const item of items) {\n  html += `\n    <h2>${item.json.title}</h2>\n    <hr>\n    <p>${item.json.tags}</p>\n    <p>${item.json.isoDate}</p>\n    <p>${item.json.summary}</p>\n    <p><a href=\"${item.json.link}\">Link zum Thema</a></p>\n    <hr>`;\n}\nreturn [{ json: { newsletter: html } }];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "040c7f49-3516-43d2-8bff-55b7bf7dbe6d",
      "name": "Newsletter per E-Mail senden",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1020,
        -500
      ],
      "webhookId": "9520be00-9060-4953-bf96-b1e0a6301c65",
      "parameters": {
        "message": "=Hello AI Nerd,\n\nhere is your weekly dose of AI News.\n\n{{ $json.newsletter }}",
        "options": {},
        "subject": "AI News"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "cCb277azCGWyAYtD",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "cecc8919-8b7b-4a09-9d55-8d62520954b1",
      "name": "Modell QWEN3 14B-q4",
      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
      "position": [
        -620,
        -320
      ],
      "parameters": {
        "model": "qwen3:14b-q4_K_M",
        "options": {}
      },
      "credentials": {
        "ollamaApi": {
          "id": "ysLr6PSOVMtUwU7u",
          "name": "Ollama account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5c8d5c75-30ff-47d3-8f68-c7e237c06584",
      "name": "Modell Gemma3 4B",
      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
      "position": [
        -180,
        -20
      ],
      "parameters": {
        "model": "gemma3:latest",
        "options": {}
      },
      "credentials": {
        "ollamaApi": {
          "id": "ysLr6PSOVMtUwU7u",
          "name": "Ollama account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a3c98eb4-dfe8-4e85-a0ed-2414c98f560f",
      "name": "Artikel bewerten und taggen",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueErrorOutput",
      "maxTries": 2,
      "position": [
        -700,
        -560
      ],
      "parameters": {
        "text": "=You are an AI assistant. Here is an article:\nTitle: {{ $('Reduce informations').item.json.title }}\nContent: {{ $('Reduce informations').item.json.content }}\n\n{{ $json.my_interests }}\n\nTask:\n- Rate how well this article matches any of my interests (1 = not relevant, 10 = extremely relevant).\n- List which interests match.\n- Suggest 2-3 relevant tags.\n\nOutput JSON: \n{\n  \"title\": \"{{ $('Reduce informations').item.json.title }}\"\n  \"rating\": <1-10>,\n  \"matching_interests\": [...], \n  \"tags\": [...]\n}",
        "batching": {},
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.7,
      "waitBetweenTries": 3000
    },
    {
      "id": "3b144818-7855-4fd4-8d45-05fded3e34c3",
      "name": "Notiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1500,
        -660
      ],
      "parameters": {
        "color": 3,
        "width": 560,
        "height": 800,
        "content": "## Compare Datasets and reduce data\n- Word_count Code node is just for future Dashboards\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "d2da2a34-c000-4e01-815b-4209d58c6d60",
      "name": "Notiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -720,
        -660
      ],
      "parameters": {
        "color": 5,
        "width": 1040,
        "height": 800,
        "content": "## Rate Articles, summarize. Just keep articles who have a rating 7+\n- Download from Ollama: Model QWEN3 14B-q4 and Model gemma3:latest or choose one of your local models"
      },
      "typeVersion": 1
    },
    {
      "id": "3ae51830-1f60-4dee-9635-d517797576d5",
      "name": "Notiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        340,
        -660
      ],
      "parameters": {
        "color": 4,
        "width": 380,
        "height": 800,
        "content": "## Save data\n- save the low rated and high rated articles into the table"
      },
      "typeVersion": 1
    },
    {
      "id": "c72d432b-c327-46b1-8366-7709cd9f8345",
      "name": "Datenbank und Schema erstellen falls nicht vorhanden",
      "type": "n8n-nodes-base.postgres",
      "position": [
        -1780,
        -380
      ],
      "parameters": {
        "query": "CREATE SCHEMA IF NOT EXISTS ai_references;\n\nCREATE TABLE IF NOT EXISTS ai_references.n8n_newsletter (\n    id SERIAL PRIMARY KEY,\n    title VARCHAR(255) NOT NULL,\n    word_count INTEGER,\n    import_date TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,\n    pup_date TIMESTAMPTZ,\n    relevant BOOLEAN NOT NULL DEFAULT false,\n    score INTEGER NOT NULL DEFAULT 1 CHECK (score BETWEEN 1 AND 10)\n);",
        "options": {},
        "operation": "executeQuery"
      },
      "credentials": {
        "postgres": {
          "id": "nGHKHAU22fwIvYvp",
          "name": "Postgres - Supabase"
        }
      },
      "typeVersion": 2.6
    },
    {
      "id": "082655e9-3e98-4f99-bf16-65122d4de2ab",
      "name": "Postgres",
      "type": "n8n-nodes-base.postgres",
      "position": [
        -1460,
        -160
      ],
      "parameters": {
        "limit": 500,
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "n8n_newsletter",
          "cachedResultName": "n8n_newsletter"
        },
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "ai_references",
          "cachedResultName": "ai_references"
        },
        "options": {},
        "operation": "select"
      },
      "credentials": {
        "postgres": {
          "id": "nGHKHAU22fwIvYvp",
          "name": "Postgres - Supabase"
        }
      },
      "typeVersion": 2.6
    },
    {
      "id": "2df777fb-9f0e-426d-b545-ef09bdd52aa8",
      "name": "Datensätze vergleichen",
      "type": "n8n-nodes-base.compareDatasets",
      "position": [
        -1240,
        -300
      ],
      "parameters": {
        "options": {},
        "mergeByFields": {
          "values": [
            {
              "field1": "title",
              "field2": "title"
            }
          ]
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "a0b43f07-0bf8-4868-a910-cddf252150f6",
      "name": "Artikel zusammenfassen",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueErrorOutput",
      "position": [
        -180,
        -240
      ],
      "parameters": {
        "text": "=You are a helpful summarizer.\n\n{{ $json.content }}\n\nGoal\nWrite a summary of maximum 170 words.\n\nRules\nDo NOT translate the text.\n\nAlways use the same language as the input text.\n\nIf the input is in German, write the summary in German. If the input is in English, write the summary in English. If the input is in another language, use that language for the summary.\n\nDo not add any explanations or comments.\n\nOutput JSON:\n{\n\"title\": \"{{ $json.title }}\",\n\"summary\": \"...\"\n}",
        "batching": {},
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "268a046b-5035-4379-833b-dbd1cbcc7963",
      "name": "Wörter zählen",
      "type": "n8n-nodes-base.code",
      "position": [
        -1300,
        -520
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Zählt die Wörter im content-Feld und fügt das Ergebnis als word_count hinzu\nconst content = $input.item.json.content || \"\";\nconst wordCount = content\n  .replace(/<[^>]*>/g, ' ') // HTML-Tags entfernen, falls vorhanden\n  .trim()\n  .split(/\\s+/)\n  .filter(Boolean)\n  .length;\n\n$input.item.json.word_count = wordCount;\nreturn $input.item;\n"
      },
      "typeVersion": 2
    },
    {
      "id": "12795406-8265-4e5d-8776-69b7cfa8b007",
      "name": "Zusammenführen",
      "type": "n8n-nodes-base.merge",
      "position": [
        180,
        -520
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "fieldsToMatchString": "title"
      },
      "typeVersion": 3.2
    },
    {
      "id": "f16b306b-0bf1-4055-8b68-ed526d5f885e",
      "name": "Datensätze einfügen <7",
      "type": "n8n-nodes-base.postgres",
      "position": [
        420,
        -520
      ],
      "parameters": {
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "n8n_newsletter",
          "cachedResultName": "n8n_newsletter"
        },
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "ai_references",
          "cachedResultName": "ai_references"
        },
        "columns": {
          "value": {
            "score": "={{ $json.rating }}",
            "title": "={{ $json.title }}",
            "pup_date": "={{ $json.isoDate }}",
            "relevant": false,
            "word_count": "={{ $json.word_count }}"
          },
          "schema": [
            {
              "id": "id",
              "type": "number",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "id",
              "defaultMatch": true,
              "canBeUsedToMatch": true
            },
            {
              "id": "title",
              "type": "string",
              "display": true,
              "required": true,
              "displayName": "title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "word_count",
              "type": "number",
              "display": true,
              "required": false,
              "displayName": "word_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "import_date",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "import_date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "pup_date",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "pup_date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "relevant",
              "type": "boolean",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "relevant",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "score",
              "type": "number",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {}
      },
      "credentials": {
        "postgres": {
          "id": "nGHKHAU22fwIvYvp",
          "name": "Postgres - Supabase"
        }
      },
      "typeVersion": 2.6
    },
    {
      "id": "deb81770-297e-45c1-8d8a-711533aea50e",
      "name": "Datensätze einfügen >=7",
      "type": "n8n-nodes-base.postgres",
      "position": [
        600,
        -340
      ],
      "parameters": {
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "n8n_newsletter",
          "cachedResultName": "n8n_newsletter"
        },
        "schema": {
          "__rl": true,
          "mode": "list",
          "value": "ai_references",
          "cachedResultName": "ai_references"
        },
        "columns": {
          "value": {
            "score": "={{ $json.rating }}",
            "title": "={{ $json.title }}",
            "pup_date": "={{ $json.isoDate }}",
            "relevant": true,
            "word_count": "={{ $json.word_count }}"
          },
          "schema": [
            {
              "id": "id",
              "type": "number",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "id",
              "defaultMatch": true,
              "canBeUsedToMatch": true
            },
            {
              "id": "title",
              "type": "string",
              "display": true,
              "required": true,
              "displayName": "title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "word_count",
              "type": "number",
              "display": true,
              "required": false,
              "displayName": "word_count",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "import_date",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "import_date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "pup_date",
              "type": "dateTime",
              "display": true,
              "required": false,
              "displayName": "pup_date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "relevant",
              "type": "boolean",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "relevant",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "score",
              "type": "number",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {}
      },
      "credentials": {
        "postgres": {
          "id": "nGHKHAU22fwIvYvp",
          "name": "Postgres - Supabase"
        }
      },
      "typeVersion": 2.6
    },
    {
      "id": "f67b0231-d8fa-4612-afa1-34a8f36092d2",
      "name": "Zeitplan-Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "disabled": true,
      "position": [
        -2000,
        -340
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "daysInterval": 3,
              "triggerAtHour": 9
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "045e783e-bd35-491f-8a8b-975797ce5628",
      "name": "Notiz3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        960,
        -660
      ],
      "parameters": {
        "width": 200,
        "height": 340,
        "content": "## Change here\n- Your Email\n- Your Google Auth2"
      },
      "typeVersion": 1
    },
    {
      "id": "6b3dd7fb-e6d0-4b0a-b90e-aad30f039853",
      "name": "Ihre Interessen festlegen",
      "type": "n8n-nodes-base.set",
      "position": [
        -880,
        -560
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "02c2b083-72a7-4f0b-9baa-811764f237f6",
              "name": "my_interests",
              "type": "string",
              "value": "=My interests are:\n1. AI Automation\n2. MCP - Model Context Protocol\n3. RAG Retrieval Augmented Generation\n4. European AI Act\n5. No Code or Low Code AI Tools\n\n"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "12ef2f98-75b4-499a-8b9a-5e4be6b29607",
      "name": "Notiz4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -920,
        -660
      ],
      "parameters": {
        "width": 180,
        "height": 260,
        "content": "## Change here\n- Your Interests"
      },
      "typeVersion": 1
    },
    {
      "id": "3ce9a754-5ebb-4bb5-a4bf-ea521fd2a3e0",
      "name": "Notiz5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1800,
        -660
      ],
      "parameters": {
        "width": 280,
        "height": 500,
        "content": "## Change here\n- Postgres Creds\n- RSS Feed"
      },
      "typeVersion": 1
    },
    {
      "id": "5abd1d19-9285-4f2f-b183-1dc72509f52a",
      "name": "Notiz6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2080,
        -660
      ],
      "parameters": {
        "width": 260,
        "height": 500,
        "content": "## Change here\n- Trigger manually\n- or schedule (deactivated)"
      },
      "typeVersion": 1
    },
    {
      "id": "3336f355-fe93-4d10-9f1e-3ed750dca1b3",
      "name": "Notiz7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        740,
        -660
      ],
      "parameters": {
        "width": 200,
        "height": 340,
        "content": "## Change here\n- Style and headline of your Newsletter"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "83e66c8c-65f6-46b9-baaf-4f787baae331",
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}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Soziale Medien, KI-Zusammenfassung

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes33
Kategorie2
Node-Typen14
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

Autor

Freelancer who loves to dig into new technologies and travel around the world

Externe Links
Auf n8n.io ansehen

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Kategorien

Kategorien: 34