{
  "name": "Extract and score YouTube Trends Scraper: Breakout Keywords & SEO data to Google Sheets, CSV, and Slack with Apify",
  "nodes": [
    {
      "parameters": {
        "content": "## YouTube Trends Scraper: Breakout Keywords & SEO — Automated Sheets, CSV & Slack Pipeline\n\nBuilt for market research, e-commerce, and growth teams. This workflow runs on a schedule to extract fresh data with the **[youtube-trends-scraper Apify Actor](https://apify.com/unitbytes/youtube-trends-scraper?fpr=939u3w&fp_sid=n8n_io)** ($0.00045 / item), skips previously seen records, scores each item, logs results to **Google Sheets** and **CSV**, and posts **Slack** alerts for top matches.\n\n### How it works\n1. **Every 6 Hours** triggers the run and loads search settings from **1. Configure Search & Rules**.\n2. **2. Run UnitBytes (youtube-trends-scraper)** executes the actor via Apify's synchronous endpoint.\n3. **3. Skip Seen Records** deduplicates items by `id` across runs.\n4. **4. Clean & Score Items** and **5. Map Export Fields** normalize fields (`scrape_type, event_index, error, subset, original_keyword`) and compute a 0–100 `priorityScore`.\n5. **6a. Log to Google Sheets** and **6b. Export Backup CSV** store all rows, while **6c. Filter High-Priority Items** sends top matches to **7. Send Slack Alert**.\n\n### Setup\n1. Copy your API token from [youtube-trends-scraper on Apify Store](https://apify.com/unitbytes/youtube-trends-scraper?fpr=939u3w&fp_sid=n8n_io) into the **HTTP Header Auth** credential (`Authorization: Bearer <TOKEN>`) on node 2.\n2. Edit `actorInput`, `sheetTab`, and `minTrendValue` in **1. Configure Search & Rules**.\n3. Connect **Google Sheets** and **Slack** credentials (or test immediately via CSV export).\n\n### Customization\n- Tune `minTrendValue` or `priorityKeyword` in node 1 to adjust Slack alert sensitivity.\n- Full schema reference: [https://unitbytes.com/actors/youtube-trends-scraper/](https://unitbytes.com/actors/youtube-trends-scraper/)",
        "height": 760,
        "width": 560,
        "color": 1
      },
      "id": "69839ff8-89fb-549d-b08c-e0266b3188bf",
      "name": "Overview",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -640,
        -80
      ]
    },
    {
      "parameters": {
        "content": "## 1. Schedule & Search Settings\nTriggers on schedule and sets target search parameters, Google Sheets tab, and alert thresholds.",
        "height": 380,
        "width": 440,
        "color": 7
      },
      "id": "2474cae1-0baa-536d-ba14-1f958c982e6a",
      "name": "Section 1 — Schedule & Settings",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        60
      ]
    },
    {
      "parameters": {
        "content": "## 2. Extract & Deduplicate\nRuns the UnitBytes Apify Actor and skips records already processed in previous runs.",
        "height": 380,
        "width": 440,
        "color": 7
      },
      "id": "08d26a59-6629-5615-9e85-f0ed844a41ec",
      "name": "Section 2 — Extract & Deduplicate",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        460,
        60
      ]
    },
    {
      "parameters": {
        "content": "## 3. Clean, Score & Flatten\nNormalizes fields, parses numeric metrics, and calculates a 0–100 priority score.",
        "height": 380,
        "width": 440,
        "color": 7
      },
      "id": "f8bf5a47-b79d-501e-9127-843c210dc84b",
      "name": "Section 3 — Clean, Score & Flatten",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        920,
        60
      ]
    },
    {
      "parameters": {
        "content": "## 4. Sync to Sheets, CSV & Slack\nLogs all new records to Google Sheets and CSV, and routes high-priority matches to Slack.",
        "height": 660,
        "width": 540,
        "color": 7
      },
      "id": "4cf668af-6f7b-588c-a3b2-1ad472dc8dba",
      "name": "Section 4 — Sheets, CSV & Slack",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        1380,
        -80
      ]
    },
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 6
            }
          ]
        }
      },
      "id": "fa2c15f1-cf6a-57ca-a654-37e5dce1fa4f",
      "name": "Every 6 Hours",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
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    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "62fb83c7-8b17-558c-9d85-0e7b3f73eff8",
              "name": "actorInput",
              "value": "{\"keywords\": [\"AI Agents\", \"Claude Code\"], \"common_geo\": \"US\"}",
              "type": "object"
            },
            {
              "id": "95fcad5d-7b9d-5efe-a1c4-fc2dfff5aee9",
              "name": "sheetTab",
              "value": "SearchTrends",
              "type": "string"
            },
            {
              "id": "6c8cfef2-5cd2-5636-b0a6-c16898b8f838",
              "name": "minTrendValue",
              "value": 60,
              "type": "number"
            },
            {
              "id": "311aae09-f2eb-5b02-9b40-3e51a5f29523",
              "name": "priorityKeyword",
              "value": "",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "id": "0d56b50c-f051-5714-a2a1-d298e731a9c0",
      "name": "1. Configure Search & Rules",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
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    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/unitbytes~youtube-trends-scraper/run-sync-get-dataset-items?format=json&clean=true",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
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              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify($json.actorInput) }}",
        "options": {
          "timeout": 300000
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "58e4a8b3-3798-5837-9e9c-c5513711f4d1",
          "name": "Apify API Token (Header Auth)"
        }
      },
      "id": "0f415a4c-d103-56ca-88ca-1584fb077325",
      "name": "2. Run UnitBytes (youtube-trends-scraper)",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
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    },
    {
      "parameters": {
        "operation": "removeItemsSeenInPreviousExecutions",
        "dedupeValue": "={{ $json.id || $json.id || $json.url }}",
        "options": {}
      },
      "id": "40156250-6eaf-5578-bc89-c9a228d23970",
      "name": "3. Skip Seen Records",
      "type": "n8n-nodes-base.removeDuplicates",
      "typeVersion": 2,
      "position": [
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      ]
    },
    {
      "parameters": {
        "jsCode": "// Normalize fields, parse numeric metrics, and score items for Slack alerts\nconst config = $('1. Configure Search & Rules').first().json;\nconst threshold = Number(config.minTrendValue ?? 60);\nconst keywordFilter = String(config.priorityKeyword || '').trim().toLowerCase();\nconst primaryKeys = [\"scrape_type\", \"event_index\", \"error\", \"subset\", \"original_keyword\", \"related_keyword\"];\n\nreturn $input.all().map((item) => {\n  const raw = item.json || {};\n  const cleaned = { ...raw };\n\n  for (const k of primaryKeys) {\n    if (typeof cleaned[k] === 'string') {\n      cleaned[k] = cleaned[k].replace(/\\s+/g, ' ').trim();\n    }\n  }\n\n  const recordId = String(cleaned.id || cleaned.id || cleaned.url || '');\n  const titleText = String(cleaned.title || cleaned.content || cleaned.body || cleaned.keyword || cleaned.name || cleaned.sellerNick || recordId).slice(0, 180);\n  const itemUrl = String(cleaned.url || cleaned.productUrl || cleaned.taobaoUrl || cleaned.resolved_url || cleaned.input_url || cleaned.contributor_url || '');\n  const rawMetric = cleaned.price ?? cleaned.promotionPrice ?? cleaned.priceMin ?? cleaned.score ?? cleaned.likedCount ?? cleaned.likeCount ?? cleaned.value ?? cleaned.review_stars ?? cleaned.local_guide_level ?? 0;\n  const numericValue = Number(String(rawMetric).replace(/[^0-9.-]/g, '')) || 0;\n\n  let priorityScore = 50;\n  let isHighPriority = false;\n  const mode = 'trends';\n\n  if (mode === 'price_deal') {\n    if (numericValue > 0 && numericValue <= threshold) {\n      priorityScore = Math.min(100, Math.round(70 + ((threshold - numericValue) / Math.max(threshold, 1)) * 30));\n      isHighPriority = true;\n    }\n  } else if (mode === 'review_audit') {\n    if (cleaned.is_removed === true || cleaned.is_edited === true || (numericValue > 0 && numericValue <= threshold)) {\n      priorityScore = 95;\n      isHighPriority = true;\n    }\n  } else {\n    if (numericValue >= threshold) {\n      priorityScore = Math.min(100, Math.round(70 + Math.min(numericValue / Math.max(threshold, 1), 3) * 10));\n      isHighPriority = true;\n    }\n  }\n\n  if (keywordFilter && titleText.toLowerCase().includes(keywordFilter)) {\n    priorityScore = Math.min(100, priorityScore + 20);\n    isHighPriority = true;\n  }\n\n  return {\n    json: {\n      ...cleaned,\n      recordId,\n      titleText,\n      itemUrl,\n      numericValue,\n      priorityScore,\n      isHighPriority,\n      alertSummary: `${titleText} (Metric: ${numericValue} | Score: ${priorityScore}/100)`,\n      scrapedAt: new Date().toISOString(),\n    },\n  };\n});"
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      "id": "0cc36fa2-47e9-5456-ab61-3ffdb7a258bf",
      "name": "4. Clean & Score Items",
      "type": "n8n-nodes-base.code",
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      "position": [
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          "assignments": [
            {
              "id": "5b5954aa-462e-5dc2-b88d-707c1f5be8b0",
              "name": "scrape_type",
              "value": "={{ $json.scrape_type }}",
              "type": "string"
            },
            {
              "id": "d269375e-4186-566e-b454-e6330e45f16e",
              "name": "event_index",
              "value": "={{ $json.event_index }}",
              "type": "string"
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            {
              "id": "c05b001e-3214-598a-9e3d-da76e9f67a43",
              "name": "error",
              "value": "={{ $json.error }}",
              "type": "string"
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            {
              "id": "fd0c4da0-29df-5757-8cef-23fb9dce04fd",
              "name": "subset",
              "value": "={{ $json.subset }}",
              "type": "string"
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            {
              "id": "9ddb0a4f-eec8-5e94-a5f0-23edf9f6eb33",
              "name": "original_keyword",
              "value": "={{ $json.original_keyword }}",
              "type": "string"
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            {
              "id": "efb026c2-cbfb-5e93-b9df-af3073d25516",
              "name": "related_keyword",
              "value": "={{ $json.related_keyword }}",
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            {
              "id": "ac81b072-0dfd-5464-8eb0-f54dcbf086b2",
              "name": "numericValue",
              "value": "={{ $json.numericValue }}",
              "type": "number"
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            {
              "id": "2bbacbcf-b20c-5a43-9907-b0c70032cc46",
              "name": "priorityScore",
              "value": "={{ $json.priorityScore }}",
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              "name": "isHighPriority",
              "value": "={{ $json.isHighPriority }}",
              "type": "boolean"
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            {
              "id": "d6181ab0-2bb3-57fe-8a2b-fcdabf6acef9",
              "name": "alertSummary",
              "value": "={{ $json.alertSummary }}",
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              "value": "={{ $json.scrapedAt }}",
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        "includeOtherFields": true,
        "options": {}
      },
      "id": "752725e9-7f24-5dd1-a2dc-dedccd7fa2f5",
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      "type": "n8n-nodes-base.set",
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      "parameters": {
        "resource": "sheet",
        "operation": "append",
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": ""
        },
        "sheetName": {
          "__rl": true,
          "mode": "name",
          "value": "={{ $('1. Configure Search & Rules').first().json.sheetTab }}"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "scrape_type": "={{ $json.scrape_type }}",
            "event_index": "={{ $json.event_index }}",
            "error": "={{ $json.error }}",
            "subset": "={{ $json.subset }}",
            "original_keyword": "={{ $json.original_keyword }}",
            "related_keyword": "={{ $json.related_keyword }}",
            "numericValue": "={{ $json.numericValue }}",
            "priorityScore": "={{ $json.priorityScore }}",
            "isHighPriority": "={{ $json.isHighPriority }}",
            "alertSummary": "={{ $json.alertSummary }}",
            "scrapedAt": "={{ $json.scrapedAt }}"
          },
          "matchingColumns": [],
          "schema": [
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              "id": "scrape_type",
              "displayName": "scrape_type",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
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              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
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              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "subset",
              "displayName": "subset",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
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              "displayName": "original_keyword",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
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            },
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              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "numericValue",
              "displayName": "numericValue",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
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              "displayName": "priorityScore",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "isHighPriority",
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              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "alertSummary",
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              "defaultMatch": false,
              "display": true,
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              "canBeUsedToMatch": true
            },
            {
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              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            }
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        },
        "options": {
          "cellFormat": "RAW"
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      "credentials": {
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          "name": "Google Sheets account"
        }
      },
      "id": "c6653363-d11e-5159-ace2-1cab69fd0c93",
      "name": "6a. Log to Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.7,
      "position": [
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      ]
    },
    {
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        "operation": "csv",
        "options": {
          "fileName": "youtube-trends-scraper-dataset-export.csv"
        }
      },
      "id": "5ea796d7-737b-535c-a809-414ba2470c57",
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    },
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      "parameters": {
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            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "loose",
            "version": 2
          },
          "conditions": [
            {
              "id": "1a96c535-6b16-517d-82a1-c04b292e095f",
              "leftValue": "={{ $json.isHighPriority }}",
              "rightValue": true,
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "id": "3039cf2a-f800-5feb-b151-51d3994f3aa7",
      "name": "6c. Filter High-Priority Items",
      "type": "n8n-nodes-base.filter",
      "typeVersion": 2.2,
      "position": [
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    },
    {
      "parameters": {
        "resource": "message",
        "operation": "post",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": ""
        },
        "messageType": "text",
        "text": "=:bell: *New High-Priority Match (YouTube Trends Scraper: Breakout Keywords & SEO)*\n*<{{ $json.itemUrl }}|{{ $json.titleText }}>*\n• *Priority Score:* {{ $json.priorityScore }}/100 ({{ $json.numericValue }})\n• *Record ID:* `{{ $json.recordId }}`\n• *Scraped At:* {{ $json.scrapedAt }}",
        "otherOptions": {
          "includeLinkToWorkflow": false,
          "unfurl_links": false
        }
      },
      "credentials": {
        "slackApi": {
          "id": "6c67b0db-bde1-5e74-9d67-b43b6bfdb500",
          "name": "Slack account"
        }
      },
      "id": "4b576dc5-804d-51d0-a577-fee4c4c6bd45",
      "name": "7. Send Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 2.3,
      "position": [
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        360
      ]
    }
  ],
  "connections": {
    "Every 6 Hours": {
      "main": [
        [
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            "node": "1. Configure Search & Rules",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1. Configure Search & Rules": {
      "main": [
        [
          {
            "node": "2. Run UnitBytes (youtube-trends-scraper)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2. Run UnitBytes (youtube-trends-scraper)": {
      "main": [
        [
          {
            "node": "3. Skip Seen Records",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3. Skip Seen Records": {
      "main": [
        [
          {
            "node": "4. Clean & Score Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4. Clean & Score Items": {
      "main": [
        [
          {
            "node": "5. Map Export Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5. Map Export Fields": {
      "main": [
        [
          {
            "node": "6a. Log to Google Sheets",
            "type": "main",
            "index": 0
          },
          {
            "node": "6b. Export Backup CSV",
            "type": "main",
            "index": 0
          },
          {
            "node": "6c. Filter High-Priority Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6c. Filter High-Priority Items": {
      "main": [
        [
          {
            "node": "7. Send Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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  "meta": {
    "templateCredsSetupCompleted": false,
    "instanceId": "030f9420-0ca8-5240-8fe8-208e287a8b19"
  },
  "tags": [
    {
      "name": "Web Scraping"
    },
    {
      "name": "Apify"
    },
    {
      "name": "UnitBytes"
    },
    {
      "name": "SEO & Market Trends"
    }
  ]
}