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jekyll-autopost

中级

这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 14 个节点。主要使用 Code, Wait, Github, Twitter, LinkedIn 等节点。 Jekyll SEO 博客发布，集成 GPT-4、GitHub 和社交分享

前置要求
  • •GitHub Personal Access Token
  • •Twitter API 凭证
  • •LinkedIn API 凭证
  • •OpenAI API Key

使用的节点 (14)

Code
Wait
Github
Twitter
LinkedIn
StickyNote
ManualTrigger
ReadBinaryFile
SplitInBatches
Agent
ExtractFromFile
ScheduleTrigger
LmChatOpenAi

分类

内容创作
多模态 AI
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
  "id": "G2rpmq6qJiMyA708",
  "meta": {
    "instanceId": "1f74342ff568910c758d020acefb80f2657dc713cb52c621dc9a1d12c88452f1",
    "templateCredsSetupCompleted": true
  },
  "name": "jekyll-autopost",
  "tags": [],
  "nodes": [
    {
      "id": "5efad78c-f4ea-490e-83c9-9c8c34eaeb21",
      "name": "开始",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1740,
        420
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "884e4291-6483-4865-a1c4-35e0d466cfab",
      "name": "读取 CSV",
      "type": "n8n-nodes-base.readBinaryFile",
      "position": [
        -1480,
        460
      ],
      "parameters": {
        "filePath": "/data/recipes.csv",
        "dataPropertyName": "=data"
      },
      "typeVersion": 1
    },
    {
      "id": "bfddf1ce-7d31-4cca-b249-be0ffbc2978c",
      "name": "分批处理",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -1080,
        440
      ],
      "parameters": {
        "options": {},
        "batchSize": 1
      },
      "typeVersion": 1
    },
    {
      "id": "53a35d7c-b210-4b27-82e4-61fe7eba9bf4",
      "name": "等待发布",
      "type": "n8n-nodes-base.wait",
      "disabled": true,
      "position": [
        -220,
        -180
      ],
      "webhookId": "30845b53-aed7-4988-893f-87c7b105d284",
      "parameters": {
        "unit": "=",
        "amount": "={{ $json.data_pubblicazione }}"
      },
      "typeVersion": 1
    },
    {
      "id": "d885e9ab-0f9c-46c2-af27-914628718365",
      "name": "提交 Markdown",
      "type": "n8n-nodes-base.github",
      "position": [
        -100,
        360
      ],
      "webhookId": "eb971001-46af-4c10-abcb-e7629114afe5",
      "parameters": {
        "owner": {
          "__rl": true,
          "mode": "",
          "value": "antonio-backend-projects"
        },
        "filePath": "={{ $json[\"markdownPath\"] }}",
        "resource": "file",
        "repository": {
          "__rl": true,
          "mode": "list",
          "value": "jekyll-recipe-ai",
          "cachedResultUrl": "https://github.com/antonio-backend-projects/jekyll-recipe-ai",
          "cachedResultName": "jekyll-recipe-ai"
        },
        "fileContent": "={{ $('Code').item.json.markdownContent }}",
        "commitMessage": "=={{ 'Add recipe: ' + $json.titolo }}"
      },
      "credentials": {
        "githubApi": {
          "id": "kNB4qc6xYAhI11tb",
          "name": "GitHub account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "78d9ca4f-392d-47f6-98c1-b5b2a671c736",
      "name": "在 X 上发帖",
      "type": "n8n-nodes-base.twitter",
      "disabled": true,
      "position": [
        160,
        -220
      ],
      "parameters": {
        "operation": "createTweet"
      },
      "typeVersion": 1
    },
    {
      "id": "319bd723-ff2c-40ca-9519-b38107323b49",
      "name": "在 LinkedIn 上发布",
      "type": "n8n-nodes-base.linkedIn",
      "disabled": true,
      "position": [
        340,
        200
      ],
      "parameters": {
        "text": "={{$json.titolo}}",
        "additionalFields": {}
      },
      "typeVersion": 1
    },
    {
      "id": "7e6d5cac-befd-4cb6-8564-b4268e9dd04e",
      "name": "从文件中提取",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        -1260,
        -40
      ],
      "parameters": {
        "options": {
          "delimiter": ";"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f72b0e71-92bb-4eb5-ad18-5c5abecd3699",
      "name": "便签4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -980,
        -100
      ],
      "parameters": {
        "color": 3,
        "width": 420,
        "height": 440,
        "content": "## 编写 SEO 优化的博客文章"
      },
      "typeVersion": 1
    },
    {
      "id": "49cfd514-17d0-467b-b658-7a1cc64fffc2",
      "name": "文案撰写 AI 助手",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -900,
        0
      ],
      "parameters": {
        "text": "=You are a SEO-first food writer for an Italian recipe blog built with Jekyll.\nWrite an article of 800–1000 words, with a professional yet warm and accessible tone.\nDO NOT include any front matter.\n\n### POST INPUT\n- Recipe title: {{ $json.titolo }}\n- Description / brief: {{ $json.prompt_descrizione }}\n- Main keyword: {{ $json.keyword_principale }}\n- Secondary keywords (to integrate naturally): {{ $json.keyword_secondarie }}\n\n### GUIDELINES\n1. Start the article with an H2 using the exact title.  \n2. Include the **main keyword** in the title, in the first paragraph, and in at least one H3.  \n3. Structure the article in Markdown with the following blocks **in order**:\n   - Introduction (brief history or fun fact about the recipe)\n   - *Ingredients* section (bullet list)\n   - *Instructions* section (numbered steps)\n   - Chef’s tips / tricks for a perfect result\n   - Wine or beverage pairing\n   - Possible variations or substitutions\n   - FAQ (at least 3 short Q&A entries)\n   - Conclusion with **CTA**: invite the reader to try the recipe and explore other recipes on the blog\n4. Highlight keywords using **bold** or *italic* where appropriate (but don’t overdo it).  \n5. Keep sentences and paragraphs short, use bullet points and H3s for readability.  \n6. Avoid emojis and overly promotional language; tone should be friendly yet authoritative.  \n7. The output must be **only the Markdown content** of the article, with no extra explanations.\n\n### SEO GOAL\n- Optimize for the main keyword without keyword stuffing; distribute secondary keywords naturally.\n- Use Italian synonyms where relevant (e.g., “funghi porcini freschi”, “riso Carnaroli”, etc.).",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "16b047d2-0d4d-4fa7-a4f9-9b65025d51f0",
      "name": "gpt-4o-mini",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -900,
        200
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4e4Nzus45cL71Qsf",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "27288133-400d-4957-b7d2-b1ee2260c12a",
      "name": "代码",
      "type": "n8n-nodes-base.code",
      "position": [
        -400,
        20
      ],
      "parameters": {
        "jsCode": "// Item proveniente da \"Split In Batches\" (indice 0)\nconst base = $items(\"Split In Batches\")[0].json;\n\n// 1. Slug SEO-friendly\nconst slug = base.titolo\n  .toLowerCase()\n  .replace(/[^a-z0-9]+/g, '-')\n  .replace(/(^-|-$)/g, '');\n\n// 2. Front-matter Jekyll\nconst frontMatter = `---\\ntitle: \"${base.titolo}\"\\ndate: ${base.data_pubblicazione} +0200\\nlayout: post\\n---`;\n\n// 3. Contenuto AI\nconst aiContent = $json.output.trim();\n\n// 4. Markdown completo\nconst markdown = `${frontMatter}\\n\\n${aiContent}`;\n\nreturn [\n  {\n    json: {\n      ...base,                // mantiene titolo, keyword…\n      slug,\n      markdownPath: `_posts/${base.data_pubblicazione.slice(0,10)}-${slug}.md`,\n      markdownContent: markdown\n    }\n  }\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a7816b95-b5a0-44b6-af54-a90177524f7e",
      "name": "移除已处理的 CSV 行",
      "type": "n8n-nodes-base.code",
      "position": [
        -840,
        500
      ],
      "parameters": {
        "jsCode": "const fs = require('fs');\nconst CSV_PATH = '/data/recipes.csv';\n\n// 1. Leggi il CSV attuale\nconst rawCsv = fs.readFileSync(CSV_PATH, 'utf8').trim();\nconst rows   = rawCsv.split('\\n');\n\n// 2. Filtra via la riga pubblicata\nconst filtered = rows.filter((row, idx) => {\n\tif (idx === 0) return true;            // header\n\treturn row.split(';')[0] !== $json.titolo;\n});\n\n// 3. Se è cambiato, riscrivi il file\nif (filtered.length !== rows.length) {\n\tconst newCsv = filtered.join('\\n') + '\\n';\n\tfs.writeFileSync(CSV_PATH, newCsv, 'utf8');\n}\n\n// 4. Restituisci l’item JSON senza binari inutili\n// 4. Restituisci l’item originale (senza binari aggiuntivi)\nreturn [\n\t{\n\t\tjson: $json\n\t}\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "39814681-6340-4b30-a4b9-14bc8298243f",
      "name": "计划触发器",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -1660,
        -180
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 8
            }
          ]
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "9ce77bdb-3568-43ea-8e92-c5a282b870e4",
  "connections": {
    "Code": {
      "main": [
        [
          {
            "node": "Wait Until Publish",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Start": {
      "main": [
        [
          {
            "node": "Read CSV",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Read CSV": {
      "main": [
        [
          {
            "node": "Extract from File",
            "type": "main",
            "index": 0
          },
          {
            "node": "Remove the processed csv line",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Post on X": {
      "main": [
        [
          {
            "node": "Post on LinkedIn",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "gpt-4o-mini": {
      "ai_languageModel": [
        [
          {
            "node": "Copywriter AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Commit Markdown": {
      "main": [
        [
          {
            "node": "Post on X",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Read CSV",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split In Batches": {
      "main": [
        [
          {
            "node": "Copywriter AI Agent",
            "type": "main",
            "index": 0
          },
          {
            "node": "Remove the processed csv line",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract from File": {
      "main": [
        [
          {
            "node": "Split In Batches",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait Until Publish": {
      "main": [
        [
          {
            "node": "Commit Markdown",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Copywriter AI Agent": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Remove the processed csv line": {
      "main": [
        []
      ]
    }
  }
}
常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

中级 - 内容创作, 多模态 AI

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

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工作流信息
难度等级
中级
节点数量14
分类2
节点类型13
难度说明

适合有一定经验的用户，包含 6-15 个节点的中等复杂度工作流

作者
Antonio Trento

Antonio Trento

@antoniotrento
外部链接
在 n8n.io 查看 →

分享此工作流