Extrahiere hochinteraktive YouTube-Keyword-Trends

Name: Extrahiere hochinteraktive YouTube-Keyword-Trends
Rating: 4.5 (10 reviews)
Author: Sulieman Said

Fortgeschritten

Dies ist ein Market Research, Multimodal AI-Bereich Automatisierungsworkflow mit 14 Nodes. Hauptsächlich werden Set, SplitOut, Aggregate, ItemLists, Summarize und andere Nodes verwendet. Extrahieren Sie hochinteraktive YouTube-Keyword-Trends für Content-Strategie

Voraussetzungen

•Möglicherweise sind Ziel-API-Anmeldedaten erforderlich

Verwendete Nodes (14)

Kategorie

Marktforschung

Multimodales KI

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Bei Klick auf 'Workflow ausführen'

HTTP Request – YouTube Most Popular

Split Out – Items

Set – Derive Context

Item Lists – Top by Engagement

Aggregate – Collect Tags

Summarize – Tag Summary

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

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      "id": "c372670f-1ccf-4016-955c-514f644c6a9b",
      "name": "HTTP Request – YouTube Most Popular",
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      "position": [
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      "parameters": {
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        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "part",
              "value": "statistics,snippet"
            },
            {
              "name": "chart",
              "value": "mostPopular"
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            {
              "name": "regionCode",
              "value": "DE"
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        "content": "## API Call – YouTube\nFetches the **most popular videos** in Germany via YouTube Data API v3.\n\nIncludes: `statistics` (views, likes, comments) and `snippet` (title, tags, channel)."
      },
      "typeVersion": 1
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    {
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      "name": "Split Out – Items",
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        208
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        "fieldToSplitOut": "items"
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      "name": "Sticky: Split Items",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
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      "parameters": {
        "width": 288,
        "height": 496,
        "content": "## Split Items\nSplits the API response array (`items[]`) so that each video becomes an **individual item** for further processing."
      },
      "typeVersion": 1
    },
    {
      "id": "6a304148-78a0-4a14-a8e6-9b2f4571347f",
      "name": "Set – Derive Context",
      "type": "n8n-nodes-base.set",
      "position": [
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        208
      ],
      "parameters": {
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      },
      "typeVersion": 3.2
    },
    {
      "id": "728035b5-e319-4061-a167-afe660b8fe75",
      "name": "Sticky: Context & KPIs",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 304,
        "height": 496,
        "content": "## Context & KPIs\nExtracts key fields (title, channel, publishedAt) and numbers (views, likes, comments).\n\nCalculates: `engagementRate = (likes + comments) / (views + 1)` to capture **interaction quality** instead of raw views only."
      },
      "typeVersion": 1
    },
    {
      "id": "99d3187e-876d-4b1d-b16e-1308f87c779c",
      "name": "Item Lists – Top by Engagement",
      "type": "n8n-nodes-base.itemLists",
      "position": [
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        192
      ],
      "parameters": {
        "options": {},
        "operation": "sort"
      },
      "typeVersion": 1
    },
    {
      "id": "85d1e8bc-5504-48e1-843f-0c1b260a4ebe",
      "name": "Sticky: Ranking & Limit",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "height": 496,
        "content": "## Ranking & Limit\nSorts by `engagementRate` (descending) and keeps only the **Top 20**.\n\nReduces noise and makes the tag analysis more meaningful."
      },
      "typeVersion": 1
    },
    {
      "id": "fe93a1f7-ce55-46d5-aeef-20bcb7518149",
      "name": "Aggregate – Collect Tags",
      "type": "n8n-nodes-base.aggregate",
      "position": [
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        208
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      "parameters": {
        "options": {
          "mergeLists": true
        },
        "fieldsToAggregate": {
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            {
              "fieldToAggregate": "tags"
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          ]
        }
      },
      "typeVersion": 1
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      "name": "Sticky: Collect Tags",
      "type": "n8n-nodes-base.stickyNote",
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      "parameters": {
        "height": 496,
        "content": "## Collect Tags\nAggregates all `snippet.tags` from the Top 20 and merges them into a single array."
      },
      "typeVersion": 1
    },
    {
      "id": "4d1e33a4-12b4-494a-ba01-914c1bd7a313",
      "name": "Summarize – Tag Summary",
      "type": "n8n-nodes-base.summarize",
      "position": [
        1600,
        224
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "tags",
              "aggregation": "concatenate"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "37c333b9-f7d5-4730-841b-4b043a278a17",
      "name": "Sticky: Keyword Summary",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "height": 496,
        "content": "## Keyword Summary\nConcatenates all collected tags into one string – a **clean list of trending hashtags/keywords** from the most engaging videos."
      },
      "typeVersion": 1
    }
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Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Marktforschung, Multimodales KI

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.