Googleトレンドデータ抽出、Bright DataとGoogle Geminiを使用して要約生成
上級
これはEngineering, AI, Marketing分野の自動化ワークフローで、16個のノードを含みます。主にSet, Gmail, Function, HttpRequest, ManualTriggerなどのノードを使用、AI技術を活用したスマート自動化を実現。 Bright DataとGoogle Geminiを利用したGoogleトレンドデータ抽出と要約生成
前提条件
- •Googleアカウント + Gmail API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Gemini API Key
使用ノード (16)
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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"meta": {
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"templateCredsSetupCompleted": true
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"name": "Google Trend Data Extract, Summarization with Bright Data & Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
}
],
"nodes": [
{
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"name": "ワークフロー「テスト」クリック時",
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"position": [
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"parameters": {},
"typeVersion": 1
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{
"id": "6abf0439-8286-4198-9b5e-226a7bf805dc",
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nThis workflow deals with the structured data extraction by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Information Extraction, Summarization Chain are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the web URL of your interest within the \"Set URL and Bright Data Zone\" node and update the Webhook Notification URL**"
},
"typeVersion": 1
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
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"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nInformation Extraction is being used for the handling the structured data extraction.\n\nSummarization Chain is being used for building the summary."
},
"typeVersion": 1
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{
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"name": "Markdownからテキストデータ抽出",
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"position": [
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"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
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"promptType": "define"
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"typeVersion": 1.6
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{
"id": "80e40926-aff3-4512-ad1e-61b3741b2387",
"name": "URLとBright Dataゾーンの設定",
"type": "n8n-nodes-base.set",
"position": [
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://trends.google.com/trends/explore?gprop=youtube&hl=en-US"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
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{
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"type": "n8n-nodes-base.httpRequest",
"position": [
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"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
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"bodyParameters": {
"parameters": [
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"value": "={{ $json.text }}"
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{
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{
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"parameters": {
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"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
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{
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"value": "={{ $json.url }}?product=unlocker&method=api"
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{
"name": "format",
"value": "raw"
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{
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"value": "markdown"
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"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
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"credentials": {
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"name": "Header Auth account"
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"typeVersion": 4.2
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{
"id": "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e",
"name": "バイナリデータの作成",
"type": "n8n-nodes-base.function",
"position": [
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],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "1c386966-85ae-4b30-a485-259f1eb0727b",
"name": "構造化データ抽出",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
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],
"parameters": {
"text": "=Extract the Google Trend Data in JSON.\n\nHere's the content:\n\n {{ $json.text }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"topics\": {\n\t\t\t\"type\": \"string\"\n\t\t},\"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1
},
{
"id": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
"name": "Googleトレンドの要約",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
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],
"parameters": {
"options": {},
"chunkingMode": "advanced"
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"typeVersion": 2
},
{
"id": "25f0a115-ba3a-4ec6-8fe6-8e33e6302a2b",
"name": "要約のためのWebhook通知を開始",
"type": "n8n-nodes-base.httpRequest",
"position": [
2200,
-420
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.response.text }}"
}
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}
},
"typeVersion": 4.2
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{
"id": "50b55d73-5506-439c-8e82-e198f3b4f431",
"name": "ファイルをディスクに書き込み",
"type": "n8n-nodes-base.readWriteFile",
"position": [
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],
"parameters": {
"options": {},
"fileName": "d:\\google-trends.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "a163f8d3-2b5c-48a5-8a1d-26c0caba6383",
"name": "Google Gemini 要約用チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
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"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
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{
"id": "9e3db8e9-ad4c-4247-841e-1f5f4937b93c",
"name": "Google Gemini 構造化データ抽出用チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
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"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "122d3269-e932-48e0-af01-e2c421650e16",
"name": "要約をGmailに送信",
"type": "n8n-nodes-base.gmail",
"position": [
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],
"webhookId": "a57ca2f7-42dc-4ee9-808d-85455bb7c12f",
"parameters": {
"sendTo": "ranjancse@gmail.com",
"message": "={{ $json.response.text }}",
"options": {},
"subject": "Google Trends Summary"
},
"credentials": {
"gmailOAuth2": {
"id": "WiMjt9PIpypF2dJF",
"name": "Gmail account"
}
},
"typeVersion": 2.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "bc73fbca-1218-47bd-93cf-b308b424894d",
"connections": {
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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 - エンジニアリング, 人工知能, マーケティング
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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