DNB企業検索と抽出：Bright DataとOpenAI 4o miniを使用
上級
これはProduct, AI, Marketing分野の自動化ワークフローで、18個のノードを含みます。主にSet, Function, McpClient, 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 そして OpenAI 4o mini に基づく DNB 社検索と抽出
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
使用ノード (18)
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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"name": "DNB Company Search & Extract with Bright Data and Open AI 4o mini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
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{
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"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
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"nodes": [
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"parameters": {
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"content": "## Note\n\nDeals with the DNB (https://www.dnb.com/) data extract using the Bright Data MCP Search and Markdown Web scraper\n\n**Please make sure to update the search query and the Webhook Notification URL. Test using https://webhook.site/**"
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{
"id": "af7fb77a-7411-4f39-bd04-3bf8cc52a6f9",
"name": "search",
"type": "string",
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{
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{
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"name": "検索エンジン用MCPクライアント",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
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"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.search }}\",\n \"engine\": \"google\"\n} "
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"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
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"name": "DNB用Bright Data MCPクライアント",
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"notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.",
"position": [
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"parameters": {
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"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{ $json.output.url }}\"\n} "
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{
"id": "1adbe55f-3649-45f3-825a-70ec021452dd",
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"position": [
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"parameters": {
"text": "=Extract the URLs for DNB {{ $json.result.content[0].text }}\n",
"batching": {},
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{
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"parameters": {
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{
"id": "937e7a23-32c8-4894-88c9-4c2d5b8fe274",
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"position": [
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"parameters": {
"options": {},
"fileName": "=d:\\DNB_Info.json",
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{
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"parameters": {
"url": "={{ $('Set input fields').item.json.webhook_notification_url }}",
"options": {},
"sendBody": true,
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"name": "dnb_company_info",
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"typeVersion": 4.2
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"content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
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"parameters": {
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"content": "## LLM Usages\n\nOpenAI 4o mini LLM is being utilized for the structured data extraction handling."
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{
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"content": "## Logo\n\n\n\n"
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{
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"name": "URL用構造化出力パーサー",
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"position": [
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{
"id": "82b4a20c-2046-4314-8179-6123f18ea97f",
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"position": [
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"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"DNBCompanyProfile\",\n \"type\": \"object\",\n \"properties\": {\n \"companyName\": { \"type\": \"string\" },\n \"website\": { \"type\": \"string\", \"format\": \"uri\" },\n \"dnbHooversFreeTrial\": { \"type\": \"string\" },\n \"claimCompany\": { \"type\": \"string\" },\n\n \"overview\": {\n \"type\": \"object\",\n \"properties\": {\n \"doingBusinessAs\": { \"type\": \"string\" },\n \"companyDescription\": { \"type\": \"string\" },\n \"industry\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n },\n \"address\": { \"type\": \"string\" },\n \"phone\": { \"type\": [\"string\", \"null\"] },\n \"employeesThisSite\": { \"type\": [\"string\", \"null\"] },\n \"employeesAllSites\": { \"type\": [\"string\", \"null\"] },\n \"revenue\": { \"type\": [\"string\", \"null\"] },\n \"yearStarted\": { \"type\": [\"integer\", \"null\"] },\n \"esgRanking\": { \"type\": [\"number\", \"null\"] },\n \"esgIndustryAverage\": { \"type\": [\"number\", \"null\"] }\n },\n \"required\": [\"companyDescription\", \"industry\", \"address\"]\n },\n\n \"contacts\": {\n \"type\": \"object\",\n \"properties\": {\n \"headline\": { \"type\": \"string\" },\n \"contact1\": { \"type\": \"string\" },\n \"contactLink\": { \"type\": \"string\" },\n \"dnbHooversLogo\": { \"type\": \"string\" }\n }\n },\n\n \"financialData\": {\n \"type\": \"object\",\n \"properties\": {\n \"description\": { \"type\": \"string\" },\n \"creditReportLink\": { \"type\": \"string\" }\n }\n },\n\n \"creditReports\": {\n \"type\": \"object\",\n \"properties\": {\n \"description\": { \"type\": \"string\" }\n }\n },\n\n \"faq\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": { \"type\": \"string\" },\n \"industry\": { \"type\": \"string\" },\n \"phoneNumber\": { \"type\": \"string\" },\n \"website\": { \"type\": \"string\" },\n \"employees\": { \"type\": \"string\" },\n \"keyPrincipal\": { \"type\": \"string\" },\n \"yearStarted\": { \"type\": \"string\" },\n \"sales\": { \"type\": \"string\" }\n }\n }\n },\n \"required\": [\"companyName\", \"overview\"]\n}\n"
},
"typeVersion": 1.2
},
{
"id": "a08383bf-b90b-4b82-9698-2f6c842749e2",
"name": "URLデータ抽出用OpenAIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"parameters": {
"model": {
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"mode": "list",
"value": "gpt-4o-mini"
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"credentials": {
"openAiApi": {
"id": "vPKynKbDzJ5ZU4cU",
"name": "OpenAi account"
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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 - 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。
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ワークフロー情報
難易度
上級
ノード数18
カテゴリー3
ノードタイプ10
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