Extract High-intent SEO Keywords with Decodo From Web Pages with AI + Serp Data

The workflow JSON

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{
  "id": "c5nWQIik9zbV5gHF",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "SEO Monitoring Workflow with AI and Email Reporting",
  "tags": [],
  "nodes": [
    {
      "id": "a03e179c-c098-4509-87bb-666963a91c63",
      "name": "When clicking \u2018Execute workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        640,
        492
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "7ee090c1-de05-4a8e-a501-69854521d0ce",
      "name": "Code in JavaScript",
      "type": "n8n-nodes-base.code",
      "position": [
        2112,
        368
      ],
      "parameters": {
        "jsCode": "// Input esperado: items[0].json.output (string con ```json ... ```)\n// Output: 1 item con el JSON ya parseado en items[0].json\n\nfunction stripCodeFences(s) {\n  if (!s || typeof s !== 'string') return s;\n  // Quita ```json ... ``` o ``` ... ```\n  return s.replace(/^```(?:json)?\\s*/i, '').replace(/\\s*```$/i, '').trim();\n}\n\nfunction extractFirstJSONObject(s) {\n  // Extrae el primer bloque {...} v\u00e1lido\n  const start = s.indexOf('{');\n  const end = s.lastIndexOf('}');\n  if (start === -1 || end === -1 || end <= start) throw new Error('No JSON object braces found');\n  return s.slice(start, end + 1);\n}\n\nconst out = [];\nfor (const item of items) {\n  let raw = item.json.output ?? item.json ?? '';\n  if (typeof raw !== 'string') raw = JSON.stringify(raw);\n\n  // Si viene envuelto en array tipo [ { output: \"...\" } ], deshazlo\n  // (por si te llega el array entero aqu\u00ed)\n  if (Array.isArray(item.json) && item.json.length && item.json[0].output) {\n    raw = item.json[0].output;\n  }\n\n  raw = stripCodeFences(raw);\n  const jsonStr = extractFirstJSONObject(raw);\n\n  let parsed;\n  try {\n    parsed = JSON.parse(jsonStr);\n  } catch (e) {\n    // Intento de \u201crepair\u201d sencillo: elimina BOM y comas colgantes comunes\n    const repaired = jsonStr\n      .replace(/^\\uFEFF/, '')\n      .replace(/,\\s*}/g, '}')\n      .replace(/,\\s*]/g, ']');\n    parsed = JSON.parse(repaired);\n  }\n\n  out.push({ json: parsed });\n}\nreturn out;\n"
      },
      "typeVersion": 2
    },
    {
      "id": "4a313de4-ee02-46c8-b403-05cd52262d28",
      "name": "\ud83d\udcdd OVERVIEW",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -48,
        -64
      ],
      "parameters": {
        "color": "#E6F4EA",
        "width": 520,
        "height": 864,
        "content": "## AI SEO Watchdog \u2014 Overview & Configuration\n\nThis workflow automatically audits web pages for SEO and generates an **executive-friendly SEO summary** for each page.\n\nIt reads URLs from Google Sheets, scrapes the page content using **Decodo**, reduces the raw HTML to key SEO elements, and analyzes them with an AI Agent.  \nThe result is a structured SEO report with issues, quick wins, and recommendations, which is then:\n- Stored in Google Sheets\n- Sent by email as a formatted executive summary (Gmail)\n\n### How to configure it\n\n1. **Google Sheets**\n   - Create one sheet with input URLs (one URL per row)\n   - Create another sheet to store SEO results\n\n2. **Decodo**\n   - Add your Decodo API credentials\n   - The URL field is automatically taken from the input sheet  \n[Decodo \u2013 Web Scraper for n8n](https://visit.decodo.com/raqXGD)\n\n3. **AI Agent**\n   - Connect your LLM credentials (e.g. OpenAI or Gemini)\n   - The prompt is already optimized for executive SEO summaries\n\n4. **Gmail**\n   - Connect your Gmail account\n   - Set the recipient email address\n   - The email is sent in HTML format with clear formatting\n\nThe workflow can be executed manually or scheduled for continuous SEO monitoring."
      },
      "typeVersion": 1
    },
    {
      "id": "02243c4d-7527-4de7-b40b-eb9f884ccb33",
      "name": "\ud83d\udcdd DECODE NOTE",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        672,
        384
      ],
      "parameters": {
        "color": 7,
        "width": 420,
        "height": 124,
        "content": "###  Content Extraction  \nURLs are read from Google Sheets.\nEach page is scraped using Decodo to reliably fetch the HTML content."
      },
      "typeVersion": 1
    },
    {
      "id": "9a92dfdf-2d42-458b-bbd2-d4e0981057ff",
      "name": "\ud83d\udcdd AI AGENT NOTE",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1264,
        208
      ],
      "parameters": {
        "color": 7,
        "width": 564,
        "height": 96,
        "content": "###  AI Analysis\nJavaScript reduces the HTML to key SEO elements.\nThe AI Agent analyzes the data and generates an executive SEO summary."
      },
      "typeVersion": 1
    },
    {
      "id": "25abeabc-5c44-48be-9fa3-612ed7c758df",
      "name": "\ud83d\udcdd PARSE & REPAIR",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1936,
        208
      ],
      "parameters": {
        "color": 7,
        "width": 520,
        "height": 116,
        "content": "### Data Output  \n\nResults are saved to Google Sheets.\nA formatted SEO summary is sent by email using Gmail.\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "47b3a83e-ec11-47b7-9eaa-6ed5b2057ccb",
      "name": "Get row(s) in sheet",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        864,
        492
      ],
      "parameters": {
        "options": {
          "dataLocationOnSheet": {
            "values": {
              "rangeDefinition": "specifyRange"
            }
          }
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1mIVyGQXXVR92IhlvaQfdlGqJEU0lsJHHmlZONyMzU9c/edit#gid=0",
          "cachedResultName": "Hoja 1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1mIVyGQXXVR92IhlvaQfdlGqJEU0lsJHHmlZONyMzU9c",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1mIVyGQXXVR92IhlvaQfdlGqJEU0lsJHHmlZONyMzU9c/edit?usp=drivesdk",
          "cachedResultName": "urls_to_scrape"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "01bb0573-68c1-4fb9-bada-5cd757be4097",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1088,
        492
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "8b53cb51-5e11-4583-8564-f96771149446",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1832,
        592
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini",
          "cachedResultName": "gpt-4.1-mini"
        },
        "options": {},
        "builtInTools": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "ebf24d14-429d-4dd3-b92f-587929c411d2",
      "name": "Decodo",
      "type": "@decodo/n8n-nodes-decodo.decodo",
      "position": [
        1312,
        368
      ],
      "parameters": {
        "url": "={{ $('Get row(s) in sheet').item.json.urls }}"
      },
      "credentials": {
        "decodoApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3d561a6f-3b1b-481b-a50c-416a25092b6d",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1760,
        368
      ],
      "parameters": {
        "text": "={{ $json.seo_compact_text }}",
        "options": {
          "systemMessage": "You are an SEO auditor producing an executive summary for non-technical stakeholders.\n\nInput is a compact SEO extract:\nTITLE, META_DESCRIPTION, CANONICAL, H1/H2, and a short visible-text excerpt.\n\nReturn ONLY valid JSON:\n{\n  \"overall_status\": \"good\"|\"needs_attention\"|\"critical\",\n  \"top_issues\": [string],           // max 5 bullets, short\n  \"quick_wins\": [string],           // max 5 bullets, actionable\n  \"title_recommendation\": string|null,\n  \"meta_description_recommendation\": string|null,\n  \"notes\": string|null              // 1\u20132 lines\n}\n\nRules:\n- Keep it short and executive-friendly.\n- No markdown, no emojis.\n- If info is missing, explain briefly in notes.\n"
        },
        "promptType": "define"
      },
      "typeVersion": 3
    },
    {
      "id": "1e82b9a5-ddc6-4b4e-84df-0dc201ebdd00",
      "name": "Append row in sheet",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2560,
        492
      ],
      "parameters": {
        "columns": {
          "value": {
            "notes": "={{ $('Code in JavaScript').item.json.notes }}",
            "status": "={{ $('Code in JavaScript').item.json.overall_status }}",
            "brand_url": "={{ $('Get row(s) in sheet').item.json.urls }}",
            "quick_wins": "={{ $('Code in JavaScript').item.json.quick_wins }}",
            "top_issues": "={{ $('Code in JavaScript').item.json.top_issues }}",
            "meta_description": "={{ $('Code in JavaScript').item.json.meta_description_recommendation }}",
            "title_recommendation": "={{ $('Code in JavaScript').item.json.title_recommendation }}"
          },
          "schema": [
            {
              "id": "brand_url",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "brand_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "status",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "top_issues",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "top_issues",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "quick_wins",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "quick_wins",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "title_recommendation",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "title_recommendation",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "meta_description",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "meta_description",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "notes",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "notes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LPYN31Dtt5ZFF39yB4mJDvRG40Ga2sow_MlLcNx_DOg/edit#gid=0",
          "cachedResultName": "Hoja 1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1LPYN31Dtt5ZFF39yB4mJDvRG40Ga2sow_MlLcNx_DOg",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LPYN31Dtt5ZFF39yB4mJDvRG40Ga2sow_MlLcNx_DOg/edit?usp=drivesdk",
          "cachedResultName": "SEO Analyzer"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "a53ecfff-8e78-4ee0-8b76-6fe32ec92e71",
      "name": "Send a message",
      "type": "n8n-nodes-base.gmail",
      "position": [
        2336,
        368
      ],
      "parameters": {
        "sendTo": "user@example.com",
        "message": "=<p>Hi,</p>\n\n<p>\nHere is the latest <strong>SEO Watchdog executive summary</strong> for:\n<br>\n<strong>this page</strong>\n</p>\n\n<hr>\n\n<p>\n<strong>Status:</strong>\n<span style=\"color:#d97706;\"><strong>Needs attention</strong></span>\n</p>\n\n<h3>\ud83d\udd0e Top issues</h3>\n<ul>\n  <li><strong>Title</strong> is too long and may be truncated in search results</li>\n  <li><strong>Meta description</strong> is lengthy and lacks clear calls-to-action</li>\n  <li><strong>H1</strong> is generic and does not strongly reflect primary keywords</li>\n  <li><strong>Canonical URL</strong> points only to homepage, no specific page URL provided</li>\n  <li><strong>H2 headings</strong> are numerous and unfocused, reducing clarity</li>\n</ul>\n\n<h3>\u26a1 Quick wins</h3>\n<ul>\n  <li>Shorten the <strong>title</strong> to under 60 characters focusing on the main keyword</li>\n  <li>Rewrite the <strong>meta description</strong> to under 160 characters with clear benefits and CTAs</li>\n  <li>Refine the <strong>H1</strong> to better reflect primary keywords and user intent</li>\n  <li>Ensure the <strong>canonical URL</strong> matches the specific page URL</li>\n  <li>Consolidate <strong>H2 tags</strong> to emphasize main offerings and keywords</li>\n</ul>\n\n<h3>\ud83c\udff7\ufe0f Recommended title</h3>\n<p>\n<strong>Best API for Historical Stock Market Prices &amp; Financial Data | Free Trial</strong>\n</p>\n\n<h3>\ud83d\udcdd Recommended meta description</h3>\n<p>\nAccess historical and real-time stock prices for 150,000+ tickers with flexible plans.\n<strong>Start your free trial today.</strong>\n</p>\n\n<h3>\ud83d\udccc Notes</h3>\n<p>\nSEO elements are present but need refinement for optimal search visibility and user engagement.\nVisible text content is comprehensive but dense.\n</p>\n\n<hr>\n\n<p style=\"font-size:12px;color:#666;\">\n\u2014 Sent automatically by <strong>n8n SEO Watchdog</strong><br>\n<a href=\"https://n8n.io\" target=\"_blank\">https://n8n.io</a>\n</p>",
        "options": {},
        "subject": "=SEO Watchdog Report \u2014 {{$now}}"
      },
      "credentials": {
        "gmailOAuth2": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "1df70380-51cb-4043-997f-9a9117e6491d",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        624,
        -64
      ],
      "parameters": {
        "color": 7,
        "width": 336,
        "height": 352,
        "content": "## Input![txt](https://ik.imagekit.io/agbb7sr41/input.png)"
      },
      "typeVersion": 1
    },
    {
      "id": "9663551a-828e-400a-a1f1-fe0cdf1e8679",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2560,
        -240
      ],
      "parameters": {
        "color": 7,
        "width": 832,
        "height": 512,
        "content": "## Email\n![txt](https://ik.imagekit.io/agbb7sr41/send_email.png)"
      },
      "typeVersion": 1
    },
    {
      "id": "bdcf3fce-7872-4776-b41b-7bc7ff37e7db",
      "name": "Code in JavaScript1",
      "type": "n8n-nodes-base.code",
      "position": [
        1536,
        368
      ],
      "parameters": {
        "jsCode": "/**\n * PRE-EXTRACT SEO (HTML -> compact payload)\n * Reads:  $json.results[0].content\n * Returns: seo_compact_text + seo_fields\n */\n\nfunction decodeHtml(s) {\n  if (!s || typeof s !== \"string\") return s;\n  return s\n    .replace(/&amp;/g, \"&\")\n    .replace(/&quot;/g, '\"')\n    .replace(/&#39;/g, \"'\")\n    .replace(/&lt;/g, \"<\")\n    .replace(/&gt;/g, \">\")\n    .replace(/&gt;/g, \">\")\n    .replace(/&#(\\d+);/g, (_, code) => String.fromCharCode(Number(code)));\n}\n\nfunction cleanSpaces(s) {\n  return (s || \"\")\n    .replace(/\\s+/g, \" \")\n    .trim();\n}\n\nfunction stripTags(html) {\n  return cleanSpaces(\n    (html || \"\")\n      .replace(/<script[\\s\\S]*?<\\/script>/gi, \" \")\n      .replace(/<style[\\s\\S]*?<\\/style>/gi, \" \")\n      .replace(/<!--[\\s\\S]*?-->/g, \" \")\n      .replace(/<[^>]*>/g, \" \")\n  );\n}\n\nfunction getFirstMatch(html, regex) {\n  const m = html.match(regex);\n  return m ? decodeHtml(m[1]).trim() : null;\n}\n\nfunction getAllMatches(html, regex, limit = 20) {\n  const out = [];\n  let m;\n  while ((m = regex.exec(html)) !== null) {\n    out.push(decodeHtml(m[1]).trim());\n    if (out.length >= limit) break;\n  }\n  return out;\n}\n\nfunction truncate(s, maxChars) {\n  if (!s) return \"\";\n  return s.length > maxChars ? s.slice(0, maxChars) + \"\u2026\" : s;\n}\n\nconst html = $json?.results?.[0]?.content;\nif (!html || typeof html !== \"string\") {\n  return [{\n    json: {\n      seo_compact_text: \"NO_HTML_INPUT\",\n      seo_fields: { title: null, meta_description: null, h1: null, h2: [], canonical: null, og_title: null, og_description: null, text_excerpt: \"\" }\n    }\n  }];\n}\n\n// Basic head elements\nconst title = getFirstMatch(html, /<title[^>]*>([\\s\\S]*?)<\\/title>/i);\nconst meta_description =\n  getFirstMatch(html, /<meta[^>]*name=[\"']description[\"'][^>]*content=[\"']([^\"']*)[\"']/i) ||\n  getFirstMatch(html, /<meta[^>]*content=[\"']([^\"']*)[\"'][^>]*name=[\"']description[\"']/i);\n\nconst canonical =\n  getFirstMatch(html, /<link[^>]*rel=[\"']canonical[\"'][^>]*href=[\"']([^\"']+)[\"']/i) ||\n  getFirstMatch(html, /<link[^>]*href=[\"']([^\"']+)[\"'][^>]*rel=[\"']canonical[\"']/i);\n\n// OG tags\nconst og_title =\n  getFirstMatch(html, /<meta[^>]*property=[\"']og:title[\"'][^>]*content=[\"']([^\"']*)[\"']/i) ||\n  getFirstMatch(html, /<meta[^>]*content=[\"']([^\"']*)[\"'][^>]*property=[\"']og:title[\"']/i);\n\nconst og_description =\n  getFirstMatch(html, /<meta[^>]*property=[\"']og:description[\"'][^>]*content=[\"']([^\"']*)[\"']/i) ||\n  getFirstMatch(html, /<meta[^>]*content=[\"']([^\"']*)[\"'][^>]*property=[\"']og:description[\"']/i);\n\n// H1/H2 (simple regex extraction)\nconst h1 = getFirstMatch(html, /<h1[^>]*>([\\s\\S]*?)<\\/h1>/i);\nconst h2 = getAllMatches(html, /<h2[^>]*>([\\s\\S]*?)<\\/h2>/gi, 15).map(x => cleanSpaces(stripTags(x))).filter(Boolean);\n\n// Visible text excerpt (limited)\nconst visibleText = stripTags(html);\nconst text_excerpt = truncate(visibleText, 6000);\n\n// Build compact text for LLM\nconst lines = [];\nlines.push(\"SEO_PAGE_EXTRACT\");\nlines.push(\"---\");\nlines.push(`TITLE: ${title || \"null\"}`);\nlines.push(`META_DESCRIPTION: ${meta_description || \"null\"}`);\nlines.push(`CANONICAL: ${canonical || \"null\"}`);\nlines.push(`H1: ${h1 ? cleanSpaces(stripTags(h1)) : \"null\"}`);\nlines.push(`H2: ${h2.length ? h2.join(\" | \") : \"null\"}`);\nlines.push(`OG_TITLE: ${og_title || \"null\"}`);\nlines.push(`OG_DESCRIPTION: ${og_description || \"null\"}`);\nlines.push(\"---\");\nlines.push(\"VISIBLE_TEXT_EXCERPT:\");\nlines.push(text_excerpt || \"\");\n\nreturn [{\n  json: {\n    seo_compact_text: lines.join(\"\\n\"),\n    seo_fields: {\n      title,\n      meta_description,\n      canonical,\n      h1: h1 ? cleanSpaces(stripTags(h1)) : null,\n      h2,\n      og_title,\n      og_description,\n      text_excerpt\n    }\n  }\n}];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "6a5b45be-938f-4f91-9ac3-687293dabf38",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2624,
        320
      ],
      "parameters": {
        "color": 7,
        "width": 800,
        "height": 240,
        "content": "## Google sheet\n\n![txt](https://ik.imagekit.io/agbb7sr41/output_seo_watachdog.png)"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "60cac515-06f2-4072-a503-d0aac04b23a8",
  "connections": {
    "Decodo": {
      "main": [
        [
          {
            "node": "Code in JavaScript1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Code in JavaScript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send a message": {
      "main": [
        [
          {
            "node": "Append row in sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Over Items": {
      "main": [
        [],
        [
          {
            "node": "Decodo",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Code in JavaScript": {
      "main": [
        [
          {
            "node": "Send a message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Append row in sheet": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code in JavaScript1": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get row(s) in sheet": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \u2018Execute workflow\u2019": {
      "main": [
        [
          {
            "node": "Get row(s) in sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• decodoApi
• gmailOAuth2
• googleSheetsOAuth2Api
• openAiApi

About this workflow

This template extracts high-intent SEO keywords from any web page and turns them into a ranked keyword list you can use for content planning, landing pages, and SEO strategy.

Source: https://n8n.io/workflows/11491/ — original creator credit. Request a take-down →

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