AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack — n8n ワークフロー
概要
Check Legal Regulations: This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry!
📌 Purpose
This workflow enables automated and AI-driven topic monitoring, delivering concise article summaries directly to a Slack channel in a structured and easy-to-read format.
It allows users to stay informed on specific topics of interest effortlessly, without manually checking multiple sources, ensuring a time-efficie
使用ノード
ワークフロープレビュー
仕組み
- 1
トリガー
このワークフローは スケジュール トリガーで開始します、定義されたスケジュールで実行。
- 2
処理
データは 18 個のノードを流れます, connecting chainllm, code, googlesheets。
- 3
出力
ワークフローは自動化を完了し、設定された宛先に結果を配信します。
ノード詳細 (18)
Google Sheets
googleSheets
HTTP Request
httpRequest
Slack
slack
Code
code
Basic LLM Chain
n8n-nodes-langchain.chainLlm
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Text Classifier
n8n-nodes-langchain.textClassifier
このワークフローのインポート方法
- 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
- 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
- 3ダウンロードした
ai-powered-information-monitoring-with-openai-google-sheets-jina-ai-and-slackファイルを選択し、インポートをクリックします。 - 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
- 5ワークフローをテスト をクリックして動作確認し、有効化します。
またはn8nの JSONからインポート に直接貼り付け：
インテグレーション
作成者
Dataki
@dataki
タグ
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