AI駆動YouTube製品レビュー自動分析

上級

これはMarket Research, Multimodal AI分野の自動化ワークフローで、25個のノードを含みます。主にSet, Code, Gmail, Limit, Webhookなどのノードを使用。 ApifyとGPTを基盤としたAI駆動YouTube製品レビュー自動分析

前提条件
  • Googleアカウント + Gmail API認証情報
  • 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
  • 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
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    "templateCredsSetupCompleted": true
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      "parameters": {},
      "typeVersion": 2
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    {
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      "name": "メール送信",
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      "position": [
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      "parameters": {},
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      "parameters": {},
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      "name": "Apify API",
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  "pinData": {},
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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 - 市場調査, 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。

ワークフロー情報
難易度
上級
ノード数25
カテゴリー2
ノードタイプ13
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

作成者
Oriol Seguí

Oriol Seguí

@oxsr11

Completion of a higher degree on the way to university (computer engineering)

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34