🤖 Google シートから WordPress へ自動 AI 記事生成
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、16個のノードを含みます。主にIf, Code, Webhook, Wordpress, HttpRequestなどのノードを使用。 ウェブスクレイピングとGPT-4 Miniを使用してGoogle SheetsからWordPressへ記事を生成
前提条件
- •HTTP Webhookエンドポイント（n8nが自動生成）
- •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
- •OpenAI API Key
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
{
"id": "9LKLgEkXV10DszQ1",
"meta": {
"instanceId": "1f1785d995b3fa32ab6b8219168659331dbe1459fee9ca0c94987e0285ae2676",
"templateCredsSetupCompleted": true
},
"name": "🤖 Automated AI Article Generation from Google Sheets to WordPressnail",
"tags": [
{
"id": "0TIhg6ju9FxO2Lcp",
"name": "Wordpress",
"createdAt": "2025-07-23T09:03:28.998Z",
"updatedAt": "2025-07-23T09:03:28.998Z"
},
{
"id": "KNKC6Mt3juYzghT4",
"name": "Newsbreak",
"createdAt": "2025-09-01T09:43:28.145Z",
"updatedAt": "2025-09-01T09:43:28.145Z"
},
{
"id": "j70AoEIxmOT3oVGW",
"name": "🟢 Active",
"createdAt": "2025-09-03T07:38:33.128Z",
"updatedAt": "2025-09-03T07:38:33.128Z"
}
],
"nodes": [
{
"id": "019cddd8-29dd-46d1-9269-696ec3cef37a",
"name": "アイテムをループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-736,
384
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "8ba87150-8d5d-4684-b91d-161e7e7d730a",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-64,
144
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "3f3244e8-d845-48b1-8355-07295725cb85",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.data }}",
"rightValue": ""
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2,
"alwaysOutputData": false
},
{
"id": "7650e708-bb75-4472-88b2-5bf6384f2369",
"name": "新規記事を取得",
"type": "n8n-nodes-base.googleSheets",
"position": [
-960,
384
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "New",
"lookupColumn": "Flow Status"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2027275420,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit#gid=2027275420",
"cachedResultName": "Cheapnail"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit?usp=drivesdk",
"cachedResultName": "n8n Newspress Article Workflow"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Br9lRn5gAnnRLFmy",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "dfa0ca22-4b60-4215-9f82-5fc0bc0d125d",
"name": "処理を更新",
"type": "n8n-nodes-base.googleSheets",
"position": [
-512,
144
],
"parameters": {
"columns": {
"value": {
"Topic": "={{ $json.Topic }}",
"Source": "={{ $json.Source }}",
"row_number": "={{ $json.row_number }}",
"Flow Timing": "={{ $now.setZone(\"Asia/Kolkata\").toFormat(\"dd-MMM-yyyy HH:mm:ss\") }}",
"Publish Status": "Processing"
},
"schema": [
{
"id": "Topic",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Topic",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Source",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Source",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Publish Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Link",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Publish Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Status",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Flow Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Timing",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Flow Timing",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Run Flow",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Run Flow",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2027275420,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit#gid=2027275420",
"cachedResultName": "Cheapnail"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit?usp=drivesdk",
"cachedResultName": "n8n Newspress Article Workflow"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Br9lRn5gAnnRLFmy",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "ba43343e-ac56-4cdb-9877-c3f23458df0f",
"name": "HTMLを取得",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-288,
144
],
"parameters": {
"url": "={{ $json.Source }}",
"options": {
"timeout": 10000
}
},
"typeVersion": 4.2
},
{
"id": "d4d5aceb-8065-415a-8bfe-7a9cb5df8bcd",
"name": "エラーを更新",
"type": "n8n-nodes-base.googleSheets",
"position": [
224,
240
],
"parameters": {
"columns": {
"value": {
"row_number": "={{ $('Update Processing').item.json.row_number }}",
"Flow Status": "Error",
"Publish Link": "={{ $('Fetch HTML').item.json.error.status }}",
"Publish Status": "Not Processed Because of an Error"
},
"schema": [
{
"id": "Topic",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Topic",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Source",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Source",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Publish Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Link",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Publish Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Flow Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Timing",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Flow Timing",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Run Flow",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Run Flow",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2027275420,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit#gid=2027275420",
"cachedResultName": "Cheapnail"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit?usp=drivesdk",
"cachedResultName": "n8n Newspress Article Workflow"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Br9lRn5gAnnRLFmy",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "69aff7d4-a5d8-4bc7-93a6-a66ca684528b",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-64
],
"parameters": {
"color": 6,
"width": 640,
"height": 224,
"content": "## 🤖 These Two AI Brother is creating the Article ✌\n- Article Summarizer\n- Article Creator"
},
"typeVersion": 1
},
{
"id": "175955b0-d9ba-4c52-96ae-9c02763a6cd5",
"name": "記事作成",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
512,
48
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "=Generate a news article about the given Source Data\nThe article should follow this format and structure:\n- **Headline:** Create an SEO-optimized headline that includes the keywords from the topic title.\n- **Location Line:** Immediately after the headline, include a **location line** (e.g., **\"San Francisco, CA –\"**) and **bold the location**.\n- **Introduction:** Write a strong, engaging introduction summarizing the key point of the article in one to two paragraphs. Make sure it captures the reader's attention.\n- **Main Headings Based on Content:**\n - Instead of predefined subheadings, **generate the main headings** based on the **content of the article**. For example:\n 1. If the article is about a **discovery**, the main heading might be something like: **\"The Unexpected Discovery\"** or **\"How the Discovery Was Made\"**.\n 2. If the article focuses on **reactions**, the main heading could be: **\"Community Reactions and Expert Opinions\"** or **\"Public and Expert Responses\"**.\n 3. For articles related to **future implications** or **next steps**, the heading could be: **\"What Happens Next?\"** or **\"Implications for the Future\"**.\n - The key here is that the main headings should be **created based on the content** in the body, rather than following a rigid structure.\n- **Body Content:**\n - The body of the article should flow logically, based on the content collected from the source. Each section should expand on the corresponding headings.\n - Ensure each section is fact-based, concise, well-researched, and provides relevant information. Use the extracted expert quotes where appropriate.\n- **Bold Key Points:** Make sure to bold any important names, figures, dates, or key terms that require emphasis. Additionally, bold around 15% of the most important words in the article to highlight the key information and ensure clarity.\n- **Bullet Points:** Use bullet points to highlight key facts, data, trends, or recommendations within the article. Bullet points should break down complex information into digestible chunks.\n- **Blockquotes:** Include blockquotes for any expert opinions, quotes, or statements that should be emphasized.\n- **Source Integration:** Integrate the provided **source link** **only once** within the article body. It should be referenced naturally, in a relevant section like background information, expert quotes, or statistics.\n- **Customized Call-to-Action (CTA):** At the end of the article, include a **customized CTA** based on the article's content. For example, if the article is about a discovery, the CTA could be:\n - **\"What do you think about this discovery? Have you ever visited Crater of Diamonds State Park? Share your thoughts in the comments below!\"**\n- **SEO Optimization:** Ensure the article includes relevant keywords naturally throughout the text, in headings and body content, to avoid keyword stuffing while making sure the text flows naturally."
},
{
"role": "system",
"content": "**Output Format:**\n\n```json\n{\n \"title\": \"the original title here\",\n \"content\": \"the fully written HTML article here\"\n}\n```"
},
{
"content": "=Source Data :{{ $json.message.content }}\nsource link: {{ $('Loop Over Items').item.json.Source }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "jNGTDQUn7rhCJPBy",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.8
},
{
"id": "e7b6c39b-1b55-41c6-9626-6c18da2253fb",
"name": "記事要約",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
160,
48
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "=You are a data extraction AI tasked with processing HTML content. Your goal is to identify and extract the title and the main text content from the provided HTML document. Follow these specific instructions:\n\n1. **Input Format:** You will receive a well-formed HTML document as input.\n2. **Output Format:** Your output should be in Markdown format.\n3. **Content Extraction:**\n - Extract the title of the article from the `<title>` tag or the main heading tag (e.g., `<h1>`).\n - Extract the main body of the article excluding any images, external links, or other media. Focus solely on the text content.\n4. **Markdown Guidelines:**\n - The title should be formatted as a top-level heading (using `#`).\n - The main body text should follow the title in plain Markdown format, preserving paragraphs, lists, and any other textual formatting present in the HTML.\n5. **Restrictions:**\n - Do not include any images, external links, or HTML tags in your output.\n - Ensure that the extracted text is coherent and maintains the context of the original content.\n\nExample Input:\n```html\n<html>\n<head>\n<title>Sample Article Title</title>\n</head>\n<body>\n<h1>Sample Article Title</h1>\n<p>This is the first paragraph of the article.</p>\n<p>This is the second paragraph with <a href=\"http://example.com\">an external link</a>.</p>\n<img src=\"image.jpg\" alt=\"Sample Image\">\n</body>\n</html>\n```\n\nExpected Output:\n```\n# Sample Article Title\n\nThis is the first paragraph of the article with information.\n\nThis is the second paragraph of the article with information.\n```\n\nProcess the provided HTML input according to these instructions and generate the desired Markdown output."
},
{
"content": "=The HTML is provided as follows:\n{{ $('Fetch HTML').item.json.data }}\n\n\nPlease process the HTML and return the Markdown formatted output."
}
]
}
},
"credentials": {
"openAiApi": {
"id": "jNGTDQUn7rhCJPBy",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.8
},
{
"id": "411f871c-ce66-4c8f-81eb-b81a816a7445",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
64
],
"parameters": {
"width": 640,
"height": 240,
"content": "## 🕸 Fetch the article information from web"
},
"typeVersion": 1
},
{
"id": "e7a86256-c59c-4f71-9035-39e93192fc6e",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1184,
304
],
"parameters": {
"color": 5,
"width": 576,
"height": 240,
"content": "## 📑 Get 'New' Articles data from G Sheet\n"
},
"typeVersion": 1
},
{
"id": "fb65aa96-048d-4145-a7e7-499ecb81715f",
"name": "下書きを作成",
"type": "n8n-nodes-base.wordpress",
"position": [
1088,
48
],
"parameters": {
"title": "={{ $json.title }}",
"additionalFields": {
"status": "draft",
"content": "={{ $json.content }}",
"authorId": 12
}
},
"credentials": {
"wordpressApi": {
"id": "a7Cx6j0h8rI7LX2v",
"name": "WP Cheapnail"
}
},
"typeVersion": 1
},
{
"id": "6d4b278b-39e4-431e-aeca-e9192b813faa",
"name": "記事をフォーマット",
"type": "n8n-nodes-base.code",
"position": [
864,
48
],
"parameters": {
"jsCode": "// Pull the incoming payload\nconst msg = $input.first().json.message || {};\nconst rawContent = msg.content;\n\n// Normalise inputs: html body + a separately provided title (if any)\nlet html = \"\";\nlet providedTitle = \"\";\n\nif (typeof rawContent === \"string\") {\n // Sometimes the HTML is directly in message.content\n html = rawContent;\n} else if (rawContent && typeof rawContent === \"object\") {\n // Common shape: message.content = { title, content }\n html = (rawContent.content || \"\").toString();\n providedTitle = (rawContent.title || \"\").toString().trim();\n}\n\n// Helper: strip tags for the final title value\nconst stripTags = (s) => s.replace(/<[^>]*>/g, \"\").trim();\n\n// Try to extract <h1> from the HTML body (allow attributes, any casing)\nconst h1Match = html.match(/<h1\\b[^>]*>([\\s\\S]*?)<\\/h1>/i);\n\n// Title preference: <h1> from content first, else fall back to provided title field\nlet title = h1Match ? stripTags(h1Match[1]) : providedTitle;\n\n// Build the content: remove the first <h1> if present; otherwise keep HTML as-is\nlet content = html;\nif (h1Match) {\n content = html.replace(/<h1\\b[^>]*>[\\s\\S]*?<\\/h1>\\s*/i, \"\").trim();\n} else {\n content = (html || \"\").trim();\n}\n\n// Output\nreturn [\n {\n json: {\n title,\n content\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "18d6447a-cb7a-49c6-9baa-4339c5601f8a",
"name": "下書き詳細を更新",
"type": "n8n-nodes-base.googleSheets",
"position": [
1312,
224
],
"parameters": {
"columns": {
"value": {
"row_number": "={{ $('Update Processing').item.json.row_number }}",
"Flow Status": "Flow Complete",
"Publish Link": "={{ $json.link }}",
"Publish Status": "={{ $json.status }}"
},
"schema": [
{
"id": "Topic",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Topic",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Source",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Source",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Status",
"type": "string",
"display": true,
"required": false,
"displayName": "Publish Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Publish Link",
"type": "string",
"display": true,
"required": false,
"displayName": "Publish Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Flow Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flow Timing",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Flow Timing",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Run Flow",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Run Flow",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 2027275420,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit#gid=2027275420",
"cachedResultName": "Cheapnail"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1CnYbGz4Xq0D0eI6T4jelZkL1c3ZY5hKB2wjhWtmjAOw/edit?usp=drivesdk",
"cachedResultName": "n8n Newspress Article Workflow"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Br9lRn5gAnnRLFmy",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
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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16
カテゴリー2
ノードタイプ9
作成者
Automation for you
@n8nforyouWorkflow Automation Expert specializing in n8n implementations that drive measurable efficiency gains. I design custom automations for marketing, sales, operations, and beyond - turning complex business processes into seamless, automated workflows. Let's connect to discuss your automation challenges and build solutions that scale.
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