Bright Data を使用して Google Gemini で Etsy データをスクレイピングし自動化
上級
これはProduct, AI, Marketing分野の自動化ワークフローで、19個のノードを含みます。主にSet, Function, SplitOut, 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。 Etsy データマイニングの自動化を実現：Bright Data によるスクレピング、Google Gemini
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •Google Gemini API Key
使用ノード (19)
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
{
"id": "UuuCIDvTNnloIlvq",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Automate Etsy Data Mining with Bright Data Scrape & 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": [
{
"id": "f369feaf-4782-4411-9d08-fe91b9ffd97e",
"name": "「Test workflow」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-555
],
"parameters": {},
"typeVersion": 1
},
{
"id": "231bae3c-c27e-49fc-b878-2d5cc1e14c5a",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-1020
],
"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nDeals with the Esty web scraping by utilizing the Bright Data Web Unlocker Product.\n\nThe Information Extraction node being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the Indeed search query and update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "f568de40-b389-41f9-afe9-5e09a291c367",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-1020
],
"parameters": {
"width": 480,
"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor."
},
"typeVersion": 1
},
{
"id": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
"name": "Etsy検索クエリ設定",
"type": "n8n-nodes-base.set",
"position": [
420,
-555
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://www.etsy.com/search?q=wall+art+for+mum&order=date_desc&page=1&ref=pagination"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
"name": "Etsyウェブリクエスト実行",
"type": "n8n-nodes-base.httpRequest",
"position": [
640,
-680
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}?product=unlocker&method=api"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e",
"name": "Google Geminiチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-460
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "1f95576d-e243-481d-9d5f-308764d8ea4b",
"name": "アイテムループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1460,
-680
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
"name": "ループ内でのEtsyウェブリクエスト実行",
"type": "n8n-nodes-base.httpRequest",
"position": [
1680,
-560
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "=web_unlocker1"
},
{
"name": "url",
"value": "={{ $json.url }}&product=unlocker"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
"name": "抽出データのWebhook通知開始",
"type": "n8n-nodes-base.httpRequest",
"position": [
2320,
-560
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "a164b90b-f44c-4862-b010-d515926774c7",
"name": "商品情報を含むアイテムリスト抽出",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1920,
-560
],
"parameters": {
"text": "=Extract the product info in JSON\n\n{{ $json.data }}",
"options": {},
"schemaType": "fromJson",
"jsonSchemaExample": "[{\n \"image\": \"https://i.etsystatic.com/34923795/r/il/8f3bba/5855230678/il_fullxfull.5855230678_n9el.jpg\",\n \"name\": \"Custom Coffee Mug with Photo\",\n \"url\": \"https://www.etsy.com/listing/1193808036/custom-coffee-mug-with-photo\",\n \"brand\": {\n \"@type\": \"Brand\",\n \"name\": \"TheGiftBucks\"\n },\n \"offers\": {\n \"@type\": \"Offer\",\n \"price\": \"14.99\",\n \"priceCurrency\": \"USD\"\n }\n}]"
},
"typeVersion": 1
},
{
"id": "c3798c64-ac53-44c8-ba91-8fe33377113d",
"name": "商品情報用Google Geminiチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2000,
-300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
"name": "ページネーション結果セット抽出",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
860,
-680
],
"parameters": {
"text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"PagedResultSetSchema\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"page_number\": {\n \"type\": \"string\",\n \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"URL pointing to the page.\"\n }\n },\n \"required\": [\"page_number\", \"url\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "28c1822b-d51c-4f8e-b98e-2e12324397be",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1400,
-780
],
"parameters": {
"color": 5,
"width": 1340,
"height": 620,
"content": "## Loop and Perform Paginated Esty Data Extraction\n"
},
"typeVersion": 1
},
{
"id": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
"name": "スクレイピング内容をディスクに書き込み",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2560,
-760
],
"parameters": {
"options": {},
"fileName": "=d:\\Esty-Scraped-Content-{{ $('Loop Over Items').item.json.page_number }}.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
"name": "バイナリデータ作成",
"type": "n8n-nodes-base.function",
"position": [
2360,
-760
],
"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": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
"name": "分割",
"type": "n8n-nodes-base.splitOut",
"position": [
1240,
-680
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
"name": "OpenAIを使用したページネーション結果セット抽出",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
880,
-120
],
"parameters": {
"text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"PagedResultSetSchema\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"page_number\": {\n \"type\": \"string\",\n \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"URL pointing to the page.\"\n }\n },\n \"required\": [\"page_number\", \"url\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "aa42d335-67bc-4dc5-a68a-4ce93e05464a",
"name": "OpenAIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
880,
80
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "vPKynKbDzJ5ZU4cU",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "82df0ccc-3065-4bb5-a48e-90e4dbf2162f",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-260
],
"parameters": {
"color": 6,
"width": 660,
"height": 460,
"content": "## Open AI Extraction (Optional)\nNote - Replace the above workflow with the Open AI Chat Model if needed\nPlease make sure to set the OpenAI Chat Model -> Credential to connect with **OpenAi Account**"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "40a1bbd5-05b2-41c2-8b3c-72e3f16fd13a",
"connections": {
"2f7a5fab-a2f4-422e-8f83-ce50fbe2a738": {
"main": [
[
{
"node": "1f95576d-e243-481d-9d5f-308764d8ea4b",
"type": "main",
"index": 0
}
]
]
},
"1f95576d-e243-481d-9d5f-308764d8ea4b": {
"main": [
[],
[
{
"node": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
"type": "main",
"index": 0
}
]
]
},
"aa42d335-67bc-4dc5-a68a-4ce93e05464a": {
"ai_languageModel": [
[
{
"node": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"5555407d-c7dd-4e5c-83ab-ef6ba9c46da3": {
"main": [
[
{
"node": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
"type": "main",
"index": 0
}
]
]
},
"4f1db865-a0cb-4978-9c7d-fde448bd978a": {
"main": [
[
{
"node": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
"type": "main",
"index": 0
}
]
]
},
"9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e": {
"ai_languageModel": [
[
{
"node": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"4cb51368-bb69-4d99-a0b6-e8e8013f1dfd": {
"main": [
[
{
"node": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
"type": "main",
"index": 0
}
]
]
},
"11e4ae42-d2e1-4a4b-adcf-382f9e494431": {
"main": [
[
{
"node": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
"type": "main",
"index": 0
}
]
]
},
"f369feaf-4782-4411-9d08-fe91b9ffd97e": {
"main": [
[
{
"node": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
"type": "main",
"index": 0
}
]
]
},
"47f23aa1-63ee-49e3-a465-283c7ab71b76": {
"main": [
[
{
"node": "a164b90b-f44c-4862-b010-d515926774c7",
"type": "main",
"index": 0
}
]
]
},
"a164b90b-f44c-4862-b010-d515926774c7": {
"main": [
[
{
"node": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
"type": "main",
"index": 0
},
{
"node": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
"type": "main",
"index": 0
}
]
]
},
"c3798c64-ac53-44c8-ba91-8fe33377113d": {
"ai_languageModel": [
[
{
"node": "a164b90b-f44c-4862-b010-d515926774c7",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"0b5ea206-a5a0-49b5-8f53-10b4dec5806c": {
"main": [
[
{
"node": "1f95576d-e243-481d-9d5f-308764d8ea4b",
"type": "main",
"index": 0
}
]
]
}
}
}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 - プロダクト, 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。
関連ワークフロー
Bright Data と OpenAI 4o mini を使用した自動履歴書求人情報マッチングエンジン
Bright Data MCP と OpenAI 4o mini を使った自動履歴書職業マッチングエンジン
Set
Function
Split Out
+
Set
Function
Split Out
22 ノードRanjan Dailata
人事
DNB企業検索と抽出：Bright DataとOpenAI 4o miniを使用
Bright Data そして OpenAI 4o mini に基づく DNB 社検索と抽出
Set
Function
Mcp Client
+
Set
Function
Mcp Client
18 ノードRanjan Dailata
プロダクト
Bright Dataを使用したブランドコンテンツの抽出・要約・感情分析
Bright DataとGoogle Geminiを使用してブランドコンテンツを抽出および分析
Set
Function
Http Request
+
Set
Function
Http Request
23 ノードRanjan Dailata
人工知能
Amazon製品の価格下落をBright Dataで抽出・要約・分析
Bright DataとGoogle GeminiでAmazonの価格下落情報を抽出・要約・分析
Set
Wait
Merge
+
Set
Wait
Merge
26 ノードRanjan Dailata
人工知能
Bright Data MCPサーバーとGoogle Geminiを使ったLinkedInウェブスクレイピング
Bright Data MCPサーバーとGoogle Geminiを使用したLinkedInデータの抽出・変換
Set
Code
Merge
+
Set
Code
Merge
20 ノードRanjan Dailata
人工知能
Googleトレンドデータ抽出、Bright DataとGoogle Geminiを使用して要約生成
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
Set
Gmail
Function
+
Set
Gmail
Function
16 ノードRanjan Dailata
エンジニアリング
