ディープ・スト Maximizerが使えるLinkedInスクレイピングでGoogle Geminiで要約し、Supabaseに保存
上級
これはAI Summarization, Multimodal AI分野の自動化ワークフローで、31個のノードを含みます。主にIf, Set, Merge, Webhook, Supabaseなどのノードを使用。 Bright Data、Google Gemini、Supabaseを使ってLinkedInのプロフィール情報を抽出し、要約する
前提条件
- •HTTP Webhookエンドポイント（n8nが自動生成）
- •Supabase URL と API Key
- •Google Gemini API Key
使用ノード (31)
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
},
"name": "LinkedIn Scraper with Deep Extract, Summarize with Google Gemini & Supabase",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ZOwtAMLepQaGW76t",
"name": "Building Blocks",
"createdAt": "2025-04-13T15:23:40.462Z",
"updatedAt": "2025-04-13T15:23:40.462Z"
},
{
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"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
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"nodes": [
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{
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{
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{
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"type": "@n8n/n8n-nodes-langchain.informationExtractor",
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{
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{
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{
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{
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{
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"webhookId": "b41a537d-e552-4422-90be-b8e04a77e730",
"parameters": {},
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{
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"name": "スクレイピング応答を設定",
"type": "n8n-nodes-base.set",
"position": [
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{
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"type": "n8n-nodes-base.supabase",
"position": [
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"parameters": {},
"retryOnFail": true,
"typeVersion": 1,
"alwaysOutputData": true
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{
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"name": "行を更新",
"type": "n8n-nodes-base.supabase",
"position": [
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"parameters": {},
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{
"id": "8a5936d1-72b1-4527-8b4c-994c23cf4ac7",
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"type": "n8n-nodes-base.respondToWebhook",
"position": [
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"parameters": {},
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{
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{
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{
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{
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{
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{
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{
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{
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{
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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 - AI要約, 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。
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ワークフロー情報
難易度
上級
ノード数31
カテゴリー2
ノードタイプ12
作成者
Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
外部リンク
n8n.ioで表示 →
このワークフローを共有