Groq、Gemini、Slack承認システムを使用してRSSからMediumへの公開を自動化
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、41個のノードを含みます。主にIf, Set, Code, Wait, Gmailなどのノードを使用。 Groq、Gemini、Slack承認システムを用いたRSSからMediumへの自動公開プロセス
前提条件
- •Googleアカウント + Gmail API認証情報
- •Slack Bot Token または Webhook URL
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Sheets API認証情報
- •Google Gemini API Key
使用ノード (41)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "f017b44b21ba61cea5dc4f23d9caf22ea07787f59e04d4e1a2c79c65ce2d2d61",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e5c20787-21b2-4fc5-ab07-1d94d1c19f22",
"name": "Googleドキュメントを作成",
"type": "n8n-nodes-base.googleDocs",
"position": [
3140,
1140
],
"parameters": {
"title": "={{ $json.title }}",
"folderId": "1uOuxdhJ2w64JPJGBZhRo8-k4_cd8B_JA"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "AJJ1zQdvDia6yFpf",
"name": "empty"
}
},
"typeVersion": 2
},
{
"id": "df72645e-cee2-4196-8dec-0d66fd843ed0",
"name": "承認ステータスを確認",
"type": "n8n-nodes-base.if",
"position": [
5100,
1060
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "condition-approval",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.data.approved }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2
},
{
"id": "6adb13c6-c613-49e0-8da5-21a2f1cf3de5",
"name": "Mediumに公開",
"type": "n8n-nodes-base.httpRequest",
"disabled": true,
"position": [
5380,
1060
],
"parameters": {
"url": "http://your-vps-ip:8000/rpc",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "jsonrpc",
"value": "2.0"
},
{
"name": "method",
"value": "createMediumPost"
},
{
"name": "params",
"value": "={{ {\n \"title\": $('The Verge – Tech').item.json.title,\n \"content\": $('Generate Blog Article').item.json.choices[0].message.content + '<br><img src=\"' + $('Image Generator').item.json.data[0].url + '\">',\n \"tags\": [\"AI\", \"Automation\", \"Tech\"],\n \"publishStatus\": \"public\"\n} }}"
},
{
"name": "id",
"value": "1"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.1
},
{
"id": "a1026202-fb3d-45e4-ae3f-748d57ca1e59",
"name": "却下通知",
"type": "n8n-nodes-base.slack",
"position": [
5320,
1260
],
"webhookId": "33cc03d5-a827-4aba-821a-187b208a96d3",
"parameters": {
"text": "❌ **Article Rejected**\n\n",
"user": {
"__rl": true,
"mode": "username",
"value": ""
},
"select": "user",
"otherOptions": {}
},
"credentials": {
"slackApi": {
"id": "t7c5QwXSklleBr8d",
"name": "empty"
}
},
"typeVersion": 2.1
},
{
"id": "49301421-b71f-4851-b29a-9e28d9b93d53",
"name": "スケジュールトリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-120,
940
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 6,
"triggerAtMinute": 10
}
]
}
},
"typeVersion": 1.2
},
{
"id": "a50ac409-0d3f-42a0-8815-fed78c470b5a",
"name": "TechCrunch",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
480,
760
],
"parameters": {
"url": "https://techcrunch.com/feed",
"options": {}
},
"typeVersion": 1
},
{
"id": "7c0cbeb1-b3db-4d84-aacc-6d8d69496b1a",
"name": "The Verge – Tech",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
80,
840
],
"parameters": {
"url": "https://www.theverge.com/rss/index.xml",
"options": {}
},
"typeVersion": 1
},
{
"id": "cf7b1583-091a-44f8-90a4-b6a2bcdcbafe",
"name": "Ars Technica – Technology Lab",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
280,
780
],
"parameters": {
"url": "https://feeds.arstechnica.com/arstechnica/technology-lab",
"options": {}
},
"typeVersion": 1
},
{
"id": "36c0f639-cd05-42a8-bc17-f7a64caf0d40",
"name": "基本LLMチェーン",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1360,
920
],
"parameters": {
"text": "=Generate a well formatted Medium Post with the content.\n {{ $json.title }}{{ $json.content }}{{ $json.contentSnippet }}{{ $json.link }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=[{\"role\": \"system\", \"content\": \"You are a professional tech blogger. Transform the RSS feed content into an engaging Medium article with proper formatting, introduction, and conclusion. Keep it informative yet accessible.\"}, {\"role\": \"user\", \"content\": \"Title: {{ $json.title }}\\n\\nSummary: {{ $json.contentSnippet }}\\n\\nWrite a comprehensive blog post about this topic.\"}]"
}
]
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "dc564a60-340f-44f1-9411-a2b0ccc137dc",
"name": "Groqチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
1420,
1100
],
"parameters": {
"options": {}
},
"credentials": {
"groqApi": {
"id": "gfoeFNgs3poLdnF9",
"name": "empty"
}
},
"typeVersion": 1
},
{
"id": "06abfd6e-7352-401a-8695-21c435d0c9ad",
"name": "Google Geminiチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2020,
1100
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-flash-lite-preview-06-17"
},
"credentials": {
"googlePalmApi": {
"id": "b64KEEQh1y3E9kcq",
"name": "empty"
}
},
"typeVersion": 1
},
{
"id": "71de7319-6d01-4366-8dce-752056ee5d4c",
"name": "画像プロンプト生成（Gemini）",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2060,
920
],
"parameters": {
"text": "=Based on the following article, generate a descriptive image prompt for the cover of a medium post: it should be for marketing and professional style image\n{{ $json.text }}",
"messages": {
"messageValues": [
{
"message": "You are a professional image prompt engineer. Your task is to generate concise, highly descriptive prompts suitable for AI image generation based on article content. Always create a vivid visual concept that aligns with the tone, subject, and theme of the input text. Use stylistic and visual descriptors relevant to photography, illustration, painting, or graphic design. Follow these rules strictly: Start with the main subject of the article. Describe setting, mood, and style. Use artistic keywords (e.g., “vector art”, “digital painting”, “cinematic lighting”). Output only the image prompt — no introduction, explanation, or formatting. The final prompt should be clear, specific, and optimized for tools like Midjourney or DALL·E. Keep length between 25–75 words."
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "224265b0-368f-43fb-93b6-55987e0b54f7",
"name": "分割",
"type": "n8n-nodes-base.splitOut",
"position": [
1800,
920
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "text"
},
"typeVersion": 1
},
{
"id": "e58d0ba8-99e1-43de-9025-37de102975be",
"name": "シート内の行を取得",
"type": "n8n-nodes-base.googleSheets",
"position": [
280,
940
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1s8BaF5C88tDXgH0YxVEzsFsEJEmsrd6cC_a9ERcroAk/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1s8BaF5C88tDXgH0YxVEzsFsEJEmsrd6cC_a9ERcroAk",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1s8BaF5C88tDXgH0YxVEzsFsEJEmsrd6cC_a9ERcroAk/edit?usp=drivesdk",
"cachedResultName": "Mediuedium Pipeline"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "6QNuP6aQQqe4yd4A",
"name": "empty"
}
},
"typeVersion": 4.6
},
{
"id": "7f491390-b343-4d46-9eab-39572602d24a",
"name": "結合",
"type": "n8n-nodes-base.merge",
"position": [
560,
920
],
"parameters": {
"mode": "combine",
"options": {},
"joinMode": "keepEverything",
"fieldsToMatchString": "link"
},
"typeVersion": 3.2
},
{
"id": "4812fe1b-7999-46fd-87ac-4c501fb0ce00",
"name": "ランダム投稿を選択",
"type": "n8n-nodes-base.code",
"position": [
1040,
920
],
"parameters": {
"jsCode": "if (items.length === 0) {\n throw new Error(\"No fresh posts available to pick from.\");\n}\n\nconst randomIndex = Math.floor(Math.random() * items.length);\nreturn [items[randomIndex]];\n"
},
"typeVersion": 2
},
{
"id": "50133553-12b7-41b0-ae5d-948cb0e85b7a",
"name": "既投稿か確認",
"type": "n8n-nodes-base.code",
"position": [
800,
920
],
"parameters": {
"jsCode": "// Separate merged items into RSS posts and Sheet URLs\nconst rssItems = [];\nconst usedUrls = new Set();\n\nfor (const item of items) {\n const link = item.json.link;\n const url = item.json.url;\n\n if (link && !rssItems.find(i => i.json.link === link)) {\n // This is from RSS\n rssItems.push(item);\n } else if (url) {\n // This is from Sheet\n usedUrls.add(url);\n }\n}\n\n// Filter out RSS posts whose link already exists in the sheet\nconst freshPosts = rssItems.filter(item => !usedUrls.has(item.json.link));\n\nreturn freshPosts;\n"
},
"typeVersion": 2
},
{
"id": "9e2d4a36-a825-4b2a-8418-741308038a40",
"name": "フィールド編集",
"type": "n8n-nodes-base.set",
"position": [
3640,
880
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9bfad590-ce07-469b-a875-06c0452b977b",
"name": "text",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "e75780c5-42ff-464e-8d91-60e7dad705bb",
"name": "drive_url",
"type": "string",
"value": "={{ $json.webViewLink }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "09b483fb-f264-4be7-93ed-82894509065a",
"name": "コード1",
"type": "n8n-nodes-base.code",
"position": [
3820,
940
],
"parameters": {
"jsCode": "const articleText = $json.text;\nconst driveImageURL = $json.drive_url || 'Image URL not found';\nconst date = new Date().toLocaleString('en-US', { timeZone: 'Africa/Lagos' });\nconst creator = '@OBISDEV';\n\n// Extract title from the first **bolded** line\nconst titleMatch = articleText.match(/\\*\\*(.*?)\\*\\*/);\nconst title = titleMatch ? titleMatch[1] : 'Untitled Article';\n\n// Prepare final formatted text\nconst formattedArticle = \n`${title}\\n\\n` +\n`[IMAGE ATTACHED BELOW]\\n${driveImageURL}\\n\\n` +\n`[DATE]\\n${date}\\n\\n` +\n`[CREATOR]\\nWritten by ${creator}\\n\\n` +\n`[ARTICLE]\\n${articleText}\\n\\n` +\n`[FOLLOW]\\nStay updated with more insights and tools from Obisdev:\\n` +\n`X: @OBISDEV\\nInstagram: @OBISDEV\\nGumroad: @OBISDEV NWUDE`;\n\nreturn [\n {\n json: {\n title,\n formattedArticle,\n driveImageURL\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "1826d383-0f4c-4ce7-9967-af63e29dfd0e",
"name": "分割1",
"type": "n8n-nodes-base.splitOut",
"position": [
2880,
1180
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "title"
},
"typeVersion": 1
},
{
"id": "d83446f1-8905-444f-b1e1-0b6df0c14377",
"name": "結合1",
"type": "n8n-nodes-base.merge",
"position": [
3360,
1180
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "1dba58b0-e518-4fb8-888c-f43d985a9d7f",
"name": "待機1",
"type": "n8n-nodes-base.wait",
"position": [
3140,
1340
],
"webhookId": "00b01ae1-5f35-4071-a98c-849616ea3b48",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "3ff425ca-3aa6-41f3-86b7-846c565ff6dc",
"name": "コード2",
"type": "n8n-nodes-base.code",
"position": [
3600,
1180
],
"parameters": {
"jsCode": "// Filter out the item with the doc ID and the one with the article\nlet idItem = items.find(item => item.json.id);\nlet articleItem = items.find(item => item.json.formattedArticle);\n\n// Output a single object with id, formatted article, and drive image URL\nreturn [\n {\n json: {\n id: idItem.json.id,\n formattedArticle: articleItem.json.formattedArticle,\n driveImageURL: articleItem.json.driveImageURL\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "402776a8-6a12-45d4-a259-a68e12b73f7a",
"name": "記事を再フォーマット",
"type": "n8n-nodes-base.code",
"position": [
3800,
1180
],
"parameters": {
"jsCode": "// Safely find input parts\nconst docId = items.find(item => item.json.id)?.json.id;\nconst article = items.find(item => item.json.formattedArticle)?.json.formattedArticle || '';\n\n// Try to get title from a dedicated field, fallback to bolded headline\nlet title = items.find(item => item.json.title)?.json.title;\nif (!title) {\n const match = article.match(/\\*\\*(.+?)\\*\\*/);\n title = match ? match[1] : 'Untitled Article';\n}\n\n// Remove bolded title if it appears again inside the content\nconst cleanedArticle = article.replace(new RegExp(`\\\\*\\\\*${title}\\\\*\\\\*`, 'i'), '');\n\n// Remove all structural [TAGS] except [Link: ...]\nconst mainContent = cleanedArticle\n .replace(/\\[(?!Link:).*?\\]/g, '')\n .trim();\n\n// Compose final content\nconst content = `${title}\n\n[Image will be inserted here]\n\nPublished: ${new Date().toLocaleString('en-US', { timeZone: 'Africa/Lagos' })}\nBy: @OBISDEV\n\n${mainContent}\n`;\n\nreturn [\n {\n json: {\n id: docId,\n formattedArticle: content\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "1b9bdcb8-239a-43c9-a7be-57d32c47c7db",
"name": "ファイルをアップロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
2860,
760
],
"parameters": {
"name": "={{$json[\"fileName\"] || \"image.jpg\"}}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1uOuxdhJ2w64JPJGBZhRo8-k4_cd8B_JA",
"cachedResultUrl": "https://drive.google.com/drive/folders/1uOuxdhJ2w64JPJGBZhRo8-k4_cd8B_JA",
"cachedResultName": "MEDIUM PIPELINE"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "o7NebpAeNGzz7i7A",
"name": "empty"
}
},
"typeVersion": 3
},
{
"id": "ea031055-b133-4a0e-b172-7c7751ea0994",
"name": "結合2",
"type": "n8n-nodes-base.merge",
"position": [
3020,
900
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.2
},
{
"id": "8e4f4d04-41a4-4276-8581-4c044dbd3f31",
"name": "分割2",
"type": "n8n-nodes-base.splitOut",
"position": [
4020,
1040
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "formattedArticle"
},
"typeVersion": 1
},
{
"id": "48fd5492-391e-45c6-940d-f0eec99b927c",
"name": "結合3",
"type": "n8n-nodes-base.merge",
"position": [
4400,
1060
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3.2
},
{
"id": "c4e4faa4-7964-4e43-acd6-8c6534309099",
"name": "操作なし（何もしない）",
"type": "n8n-nodes-base.noOp",
"position": [
4220,
1160
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2bf68eb8-f554-4da1-ab62-1b5519307156",
"name": "ドキュメントを更新",
"type": "n8n-nodes-base.googleDocs",
"position": [
4240,
920
],
"parameters": {
"actionsUi": {
"actionFields": [
{
"text": "={{ $json.formattedArticle }}",
"action": "insert",
"locationChoice": "location"
}
]
},
"operation": "update",
"documentURL": "={{ $json.id }}"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "AJJ1zQdvDia6yFpf",
"name": "empty"
}
},
"typeVersion": 2
},
{
"id": "41801c0d-9f05-4c12-a483-5b188a2823df",
"name": "メッセージ送信と応答待機",
"type": "n8n-nodes-base.slack",
"position": [
4880,
1060
],
"webhookId": "5c064123-2ce2-4962-ac14-6fa6c1d33b20",
"parameters": {
"user": {
"__rl": true,
"mode": "username",
"value": ""
},
"message": "=🚀 *New Article Ready for Review*\n\nTo approve, reply in this channel with: *APPROVE ARTICLE*\n",
"options": {},
"operation": "sendAndWait",
"approvalOptions": {
"values": {
"approvalType": "double",
"buttonApprovalStyle": "secondary"
}
}
},
"credentials": {
"slackApi": {
"id": "t7c5QwXSklleBr8d",
"name": "empty"
}
},
"typeVersion": 2.3
},
{
"id": "647de0dd-4da4-4e92-afa5-d37b0306cd4f",
"name": "メッセージ送信1",
"type": "n8n-nodes-base.gmail",
"position": [
5320,
860
],
"webhookId": "5e7ce835-a678-490b-875f-5af707cd36ef",
"parameters": {
"message": "=THE ARTICLE\n\n{{ $('Split Out2').item.json.formattedArticle }}",
"options": {},
"subject": "Medium Content",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"id": "E7BGKwmzoKIRlW0z",
"name": "empty"
}
},
"typeVersion": 2.1
},
{
"id": "8d47451f-0181-4456-96f7-9acd85885936",
"name": "フィールド編集1",
"type": "n8n-nodes-base.set",
"position": [
4640,
1060
],
"parameters": {
"options": {
"dotNotation": true,
"ignoreConversionErrors": true
},
"assignments": {
"assignments": [
{
"id": "5fad9b34-9bae-4d70-a3a1-dc9fe7177292",
"name": "formattedArticle",
"type": "string",
"value": "={{ $json.formattedArticle }}"
}
]
}
},
"executeOnce": false,
"typeVersion": 3.4,
"alwaysOutputData": true
},
{
"id": "ce9a0b0f-8e8f-4394-a8fc-9c97e402a375",
"name": "メッセージ送信2",
"type": "n8n-nodes-base.slack",
"position": [
3260,
960
],
"webhookId": "4ffab5ad-840d-4e62-9ca4-bcd6aa19b9e3",
"parameters": {
"text": "=REVIEW THE ARTICLE FOR MEDIUM POST\n\n{{ $json.text }}\n\n{{ $json.webViewLink }}",
"user": {
"__rl": true,
"mode": "username",
"value": ""
},
"select": "user",
"otherOptions": {}
},
"credentials": {
"slackApi": {
"id": "t7c5QwXSklleBr8d",
"name": "empty"
}
},
"typeVersion": 2.3
},
{
"id": "0fe455a9-8bf6-4978-8791-73d202fe1bf6",
"name": "結合4",
"type": "n8n-nodes-base.merge",
"position": [
3440,
920
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "5ad5719d-ded8-4044-bd3d-547a56a8b711",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
60
],
"parameters": {
"width": 1520,
"height": 1420,
"content": "## 📰 RSS for Content Fetching\n\nNodes involved:\n\nSchedule Trigger\nThe Verge - Tech RSS\nTechCrunch RSS\n\nThis section uses a scheduled trigger to pull in fresh content from two tech-focused RSS feeds: The Verge and TechCrunch. These feeds act as the primary sources for news articles. It ensures that every run starts with up-to-date, relevant tech content from reputable platforms.\n\n\n\n## 🧮 Sort, Merge, and Pick a Post\nNodes involved:\n\nGet row(s) in sheet : TITLE, IMAGE_URL, CREATOR, & DESCRIPTION\n\nMerge\n\nPick Random Post[Customize to your preferred Niche]\n\nNote:\nFetched articles are merged into a single list. The workflow then checks a Google Sheet to verify which articles were already posted before. One new, unique article is picked randomly from the valid entries to be used for further processing. This ensures no duplicate publishing and supports content diversity.\n\n\n🚫 Check If Already Posted\nNodes involved:\n\nCheck If Already Posted\n\nNote:\nThis node verifies if the selected article has already been used in a past run by comparing its title or link with existing records in the Google Sheet. If already posted, it either halts or skips the duplicate to maintain uniqueness in published content."
},
"typeVersion": 1
},
{
"id": "5730e2ba-de00-41ff-9edb-32d6e92107ec",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
60
],
"parameters": {
"width": 1520,
"height": 1420,
"content": "🧠 Agent Article & Image Generation\nNodes involved:\n\nGoogle Gemini Model (text generation)\n\nBasic LLM Chain (structured content)\n\nGroq Chat Model (content expansion)\n\nGenerate Image Prompt\n\nCreate Image with Pollinations and get the URL\n\nHTTP Request (fetch/download image)\n\nDownload Image file \n\nNote:\nThis is the AI generation stage:\n\nText: Google Gemini and Groq LLM models are used to generate a well-written article based on the RSS content.\n\nImage: Pollinations AI generates a relevant visual image from a text prompt. An HTTP node is used to fetch the image, which is then uploaded to the cloud (possibly Drive or another host).\n\nOutput is split to handle both article and image streams for better control downstream.\n\n"
},
"typeVersion": 1
},
{
"id": "b98fd668-02cb-4f71-9b82-a52fc5277f4b",
"name": "Pollinations作成 + URL",
"type": "n8n-nodes-base.code",
"position": [
2440,
840
],
"parameters": {
"jsCode": "const width = 1024;\nconst height = 800;\nconst randomSeed = Math.floor(Math.random() * 100000);\n\nconst finalPrompt = $json.text;\nconst imageUrl = `https://image.pollinations.ai/prompt/${encodeURIComponent(finalPrompt)}.jpg?width=${width}&height=${height}&seed=${randomSeed}&model=flux&nologo=true`;\n\nreturn [\n {\n json: {\n text: finalPrompt,\n imageUrl\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "9e652275-2271-47ba-83bb-f6106fcbd92b",
"name": "画像をダウンロード",
"type": "n8n-nodes-base.httpRequest",
"position": [
2660,
760
],
"parameters": {
"url": "={{ $json.imageUrl }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "e661e000-c91f-4c80-b295-d2eca71a4cb4",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2820,
60
],
"parameters": {
"width": 1980,
"height": 1420,
"content": "☁️ Upload to Google Drive\nNodes involved:\n\nCreate Google Doc\n\nMerge4\n\nUpdate Doc\n\nEdit Fields\n\nNote:\nThe generated article and image are uploaded and stored in Google Drive. A Google Doc is created, updated with the AI-generated content, and linked back to the system. This provides a centralized place for human reviewers and stores the article for archiving or reuse.\n\nHere We Send the post to Slack DM or Channel for the user to Review the Article."
},
"typeVersion": 1
},
{
"id": "27b27f67-ec8c-4a67-b509-23bad83afaac",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
4820,
60
],
"parameters": {
"width": 820,
"height": 1420,
"content": "📤 Slack Notification for Approval\nNodes involved:\n\nSend a message2\n\nSend a message and wait for response\n\nCheck Approval Status\n\nNote:\nSlack is used as the manual review checkpoint. The system sends a message with the content preview and waits for a response (approval or rejection) from a designated reviewer or group. This introduces human judgment before public publishing.\n\n✅ Approved = Publish to Medium + Gmail\nNodes involved:\n\nPublish to Medium\n\nSend a message1 (Gmail)\n\nNote:\nOnce content is approved via Slack, it's automatically published to Medium through an API call. At the same time, an email is sent via Gmail, which could be used to notify stakeholders, send to a mailing list, or archive the content. This step ensures distribution across multiple channels.\n\n❌ Rejected = Notify on Slack\nNodes involved:\n\nRejection Notification\n\nNote:\nIf the reviewer rejects the article in Slack, a rejection notification is triggered and sent to the same Slack user or group. This keeps the content creation team informed and ready to revise or skip the rejected content. It closes the loop with proper rejection feedback.\n\n"
},
"typeVersion": 1
}
],
"pinData": {},
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - コンテンツ作成, マルチモーダルAI
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
上級
ノード数41
カテゴリー2
ノードタイプ19
作成者
ObisDev
@obisdevLet's scale your Business 5x with AI automation. Yes that's my Job. 💻Software Developer 🤖AI Agent Builder | N8N ⛓️Automation and Workflow Engineer. 🤝
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