{
  "name": "Google Trends Interest & Related Query Scraper - clean export",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "days",
              "daysInterval": 1,
              "triggerAtHour": 8,
              "triggerAtMinute": 0
            }
          ]
        }
      },
      "id": "45d46f5f-eee0-4ac0-ae62-095d9c3d2212",
      "name": "Daily trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        -80,
        0
      ]
    },
    {
      "parameters": {
        "jsCode": "// Edit this object for your run. The Actor's full input schema is linked in the sticky note.\nconst input = {\n  \"mode\": \"interest\",\n  \"searchTerms\": [\n    \"ai agents\",\n    \"n8n\"\n  ],\n  \"geo\": \"US\",\n  \"timeRange\": \"today 3-m\",\n  \"maxItems\": 50\n};\n\nreturn [{ json: input }];"
      },
      "id": "3596fd3c-4224-491f-a7da-68622935bd8d",
      "name": "Configure input",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        160,
        0
      ],
      "notes": "Edit the input object for your city, keyword, URLs or limit."
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/vexaloom-labs~google-trends-interest-and-related-query-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify($json) }}",
        "options": {
          "timeout": 300000
        }
      },
      "id": "6a8890fb-54c7-4d4d-a9de-00486a5e60a7",
      "name": "Run Apify Actor",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        400,
        0
      ],
      "notes": "Select the Apify API Token (Query Auth) credential."
    },
    {
      "parameters": {
        "jsCode": "const rows = $input.all().flatMap((item) => (Array.isArray(item.json) ? item.json : [item.json]));\nconst failed = rows.find((row) => row && row.error && typeof row.error === 'object' && Object.keys(row).length === 1);\nif (failed) throw new Error(`Apify: ${failed.error.type || 'error'} ${failed.error.message || ''}`.trim());\nconst keyField = null; // no stable id in this output: identical rows are dropped\nconst kindField = rows.some((row) => row && row.recordType !== undefined) ? 'recordType' : null;\nconst scrapedAt = new Date().toISOString();\nconst seen = new Set();\nconst clean = [];\nfor (const row of rows) {\n  if (!row || typeof row !== 'object') continue;\n  const out = {};\n  for (const [k, v] of Object.entries(row)) {\n    if (v === null || v === undefined) continue;\n    out[k] = typeof v === 'string' ? v.trim() : v;\n  }\n  const value = keyField ? out[keyField] : undefined;\n  const id = (kindField ? `${out[kindField]}|` : '') + (value === undefined || value === '' ? JSON.stringify(out) : String(value).toLowerCase());\n  if (seen.has(id)) continue;\n  seen.add(id);\n  out._source = \"https://apify.com/vexaloom-labs/google-trends-interest-and-related-query-scraper\";\n  out._scrapedAt = scrapedAt;\n  clean.push(out);\n}\nreturn clean.map((json) => ({ json }));"
      },
      "id": "b632082c-3967-4660-a1c6-b83953e53930",
      "name": "Normalize + dedupe",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        640,
        0
      ]
    },
    {
      "parameters": {},
      "id": "78ddf6cd-5297-421b-ab02-2823af2678cf",
      "name": "Rows ready",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        880,
        0
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "YOUR_GOOGLE_SHEET_ID",
          "mode": "id"
        },
        "sheetName": {
          "__rl": true,
          "value": "Rows",
          "mode": "name"
        },
        "columns": {
          "mappingMode": "autoMapInputData",
          "value": {}
        },
        "options": {}
      },
      "id": "c0809057-81ba-4aaa-a63c-832af6e9c052",
      "name": "Google Sheets (optional)",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.5,
      "position": [
        1120,
        0
      ],
      "disabled": true,
      "notes": "Enable this after adding your Google Sheets credential and sheet ID."
    },
    {
      "parameters": {
        "content": "## Google Trends Interest & Related Query Scraper\n\n**Actor:** [Google Trends Interest & Related Query Scraper](https://apify.com/vexaloom-labs/google-trends-interest-and-related-query-scraper)\n\n**Docs:** https://scraperfinder.com/n8n/google-trends-interest-and-related-query-scraper/\n\n### Setup\n1. Create an Apify account and copy an API token.\n2. In n8n, create a **Query Auth** credential:\n   - Name: `Apify API Token`\n   - Query parameter name: `token`\n   - Value: your Apify token\n3. Open **Run Apify Actor** and select that credential.\n4. Click **Execute workflow**. The rows appear in **Rows ready**.\n5. Optional: enable **Google Sheets** and set your document and sheet.\n\n### Notes\n- This calls the public Actor endpoint. No API token is stored in this file.\n- `run-sync-get-dataset-items` waits up to 300 seconds. For large runs, switch to the async run + dataset endpoint.\n- Public data only. Respect the target site's terms and local law.\n\n### Input fields\n- `mode` (string)\n- `searchTerms` (array)\n- `compareMode` (boolean)\n- `startUrls` (array)\n- `geo` (string)\n- `timeRange` (string)\n- `customDateRange` (string)\n- `category` (string)\n- `searchType` (string)\n- `geoResolution` (string)\n- `trendingHours` (string)\n- `trendingCategory` (string)\n\n### Output fields\n- `searchTerms` (Terms)\n- `title` (Trending term)\n- `geoName` (Location)\n- `timeRangeLabel` (Time label)\n- `hoursLabel` (Window)\n- `categoryName` (Category)\n- `searchTypeLabel` (Type label)\n- `averageInterest` (Avg)\n- `volumeText` (Volume)\n- `growthPercent` (Growth %)\n- `exploreUrl` (URL)\n- `trendingUrl` (Trends URL)",
        "height": 640,
        "width": 560,
        "color": 4
      },
      "id": "d6801d6a-46b9-4385-a800-e4e721c6198d",
      "name": "Setup notes",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -80,
        -700
      ]
    }
  ],
  "connections": {
    "Daily trigger": {
      "main": [
        [
          {
            "node": "Configure input",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Configure input": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Run Apify Actor": {
      "main": [
        [
          {
            "node": "Normalize + dedupe",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Normalize + dedupe": {
      "main": [
        [
          {
            "node": "Rows ready",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Rows ready": {
      "main": [
        [
          {
            "node": "Google Sheets (optional)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "pinData": {},
  "meta": {
    "templateCredsSetupCompleted": false
  },
  "tags": [],
  "versionId": "5533fd5a-a6b2-414c-ad0e-3b931525884f",
  "description": "Export Google Trends data: runs the Google Trends Interest & Related Query Scraper Apify Actor, returns searchTerms, title, geoName, averageInterest, growthPercent and more, then normalizes and dedupes the rows before an optional Google Sheets append."
}