8
n8n Deutschamn8n.com

DNB-Unternehmenssuche und -extraktion mit Bright Data und OpenAI 4o mini

Experte

Dies ist ein Product, AI, Marketing-Bereich Automatisierungsworkflow mit 18 Nodes. Hauptsächlich werden Set, Function, McpClient, HttpRequest, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. DNB-Unternehmenssuche und -extraktion auf Basis von Bright Data und OpenAI 4o mini

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •OpenAI API Key

Verwendete Nodes (18)

Set
Function
McpClient
StickyNote
HttpRequest
ManualTrigger
ReadWriteFile
ChainLlm
LmChatOpenAi
OutputParserStructured

Kategorie

Produkt
Künstliche Intelligenz
Marketing
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "fw2n6WbzzOSBziD2",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "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"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "647ba3af-65c7-40ae-954d-1eacfd032057",
      "name": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1140,
        440
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5ac1546f-0215-4ba4-996d-8b8298e8813b",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1140,
        120
      ],
      "parameters": {
        "width": 400,
        "height": 240,
        "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/**"
      },
      "typeVersion": 1
    },
    {
      "id": "98264472-dec1-4930-8759-cd7765aebbb7",
      "name": "Eingabefelder setzen",
      "type": "n8n-nodes-base.set",
      "position": [
        -700,
        440
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "88826650-2a6f-4d19-8a2f-27b039296a00",
              "name": "webhook_notification_url",
              "type": "string",
              "value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
            },
            {
              "id": "af7fb77a-7411-4f39-bd04-3bf8cc52a6f9",
              "name": "search",
              "type": "string",
              "value": "dnb starbucks url"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "a888ec8a-9211-4196-8577-4a93c0ebda51",
      "name": "Alle Tools für Bright Data auflisten",
      "type": "n8n-nodes-mcp.mcpClient",
      "position": [
        -920,
        440
      ],
      "parameters": {},
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f06c235a-7726-4580-8ea3-1f34a789b153",
      "name": "MCP-Client für Suchmaschine",
      "type": "n8n-nodes-mcp.mcpClient",
      "position": [
        -480,
        440
      ],
      "parameters": {
        "toolName": "search_engine",
        "operation": "executeTool",
        "toolParameters": "={\n  \"query\": \"{{ $json.search }}\",\n  \"engine\": \"google\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7462d4bf-eb0e-48e2-988f-64874a8e5c51",
      "name": "Bright Data MCP-Client für DNB",
      "type": "n8n-nodes-mcp.mcpClient",
      "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.",
      "position": [
        116,
        440
      ],
      "parameters": {
        "toolName": "scrape_as_markdown",
        "operation": "executeTool",
        "toolParameters": "={\n   \"url\": \"{{ $json.output.url }}\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "1adbe55f-3649-45f3-825a-70ec021452dd",
      "name": "DNB-URL-Datenextraktion mittels LLM",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -260,
        440
      ],
      "parameters": {
        "text": "=Extract the URLs for DNB  {{ $json.result.content[0].text }}\n",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "2fd7b177-2ac7-4cae-82af-47ea2cef08ed",
      "name": "Strukturierte DNB-Datenextraktion mittels LLM",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        336,
        440
      ],
      "parameters": {
        "text": "=Extract the Company Profile from {{ $json.result.content[0].text }}\n\nOutput in a highly structured JSON format.\n",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "7d2101c1-edc6-4f2b-8d2e-577bc07ac2ee",
      "name": "Binärdaten für strukturierte Datenextraktion erstellen",
      "type": "n8n-nodes-base.function",
      "position": [
        712,
        340
      ],
      "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": "937e7a23-32c8-4894-88c9-4c2d5b8fe274",
      "name": "Strukturierte Inhalte auf Festplatte speichern",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        932,
        340
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\DNB_Info.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "0a40a4f0-6dba-4638-944d-192cd6e0c3a6",
      "name": "Webhook-Benachrichtigung für strukturierte Daten auslösen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        712,
        540
      ],
      "parameters": {
        "url": "={{ $('Set input fields').item.json.webhook_notification_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "dnb_company_info",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "de9da4f8-126d-48bd-a391-92f69a44a613",
      "name": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -220,
        240
      ],
      "parameters": {
        "width": 440,
        "height": 120,
        "content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
      },
      "typeVersion": 1
    },
    {
      "id": "534cc990-a9fe-4d8c-813c-19f864e92dd8",
      "name": "Haftnotiz6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -700,
        120
      ],
      "parameters": {
        "color": 5,
        "width": 440,
        "height": 240,
        "content": "## LLM Usages\n\nOpenAI 4o mini LLM is being utilized for the structured data extraction handling."
      },
      "typeVersion": 1
    },
    {
      "id": "95d188e1-8e68-4843-a4d7-fd25d066b4aa",
      "name": "Haftnotiz5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1140,
        -300
      ],
      "parameters": {
        "color": 7,
        "width": 400,
        "height": 400,
        "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "439f4da4-5055-4281-895f-38768bb62168",
      "name": "Strukturierter Ausgabeparser für URLs",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -80,
        660
      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"url\": \"url\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "82b4a20c-2046-4314-8179-6123f18ea97f",
      "name": "Strukturierter Ausgabeparser für strukturierte Extraktion",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        520,
        660
      ],
      "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": "OpenAI-Chatmodell für URL-Datenextraktion",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -280,
        660
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5e577d2d-240a-4851-a1d7-04b66442049e",
      "name": "OpenAI-Chatmodell für DNB-strukturierte Datenextraktion",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        320,
        660
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "e8616327-2a5b-4815-bcff-ee154750f8cf",
  "connections": {
    "98264472-dec1-4930-8759-cd7765aebbb7": {
      "main": [
        [
          {
            "node": "f06c235a-7726-4580-8ea3-1f34a789b153",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f06c235a-7726-4580-8ea3-1f34a789b153": {
      "main": [
        [
          {
            "node": "1adbe55f-3649-45f3-825a-70ec021452dd",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "7462d4bf-eb0e-48e2-988f-64874a8e5c51": {
      "main": [
        [
          {
            "node": "2fd7b177-2ac7-4cae-82af-47ea2cef08ed",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1adbe55f-3649-45f3-825a-70ec021452dd": {
      "main": [
        [
          {
            "node": "7462d4bf-eb0e-48e2-988f-64874a8e5c51",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a888ec8a-9211-4196-8577-4a93c0ebda51": {
      "main": [
        [
          {
            "node": "98264472-dec1-4930-8759-cd7765aebbb7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "439f4da4-5055-4281-895f-38768bb62168": {
      "ai_outputParser": [
        [
          {
            "node": "1adbe55f-3649-45f3-825a-70ec021452dd",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "647ba3af-65c7-40ae-954d-1eacfd032057": {
      "main": [
        [
          {
            "node": "a888ec8a-9211-4196-8577-4a93c0ebda51",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2fd7b177-2ac7-4cae-82af-47ea2cef08ed": {
      "main": [
        [
          {
            "node": "7d2101c1-edc6-4f2b-8d2e-577bc07ac2ee",
            "type": "main",
            "index": 0
          },
          {
            "node": "0a40a4f0-6dba-4638-944d-192cd6e0c3a6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a08383bf-b90b-4b82-9698-2f6c842749e2": {
      "ai_languageModel": [
        [
          {
            "node": "1adbe55f-3649-45f3-825a-70ec021452dd",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "82b4a20c-2046-4314-8179-6123f18ea97f": {
      "ai_outputParser": [
        [
          {
            "node": "2fd7b177-2ac7-4cae-82af-47ea2cef08ed",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "7d2101c1-edc6-4f2b-8d2e-577bc07ac2ee": {
      "main": [
        [
          {
            "node": "937e7a23-32c8-4894-88c9-4c2d5b8fe274",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5e577d2d-240a-4851-a1d7-04b66442049e": {
      "ai_languageModel": [
        [
          {
            "node": "2fd7b177-2ac7-4cae-82af-47ea2cef08ed",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Produkt, Künstliche Intelligenz, Marketing

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Verwandte Workflows

KI-Agenten-gesteuerte ProductHunt-Datenextraktion und -suche (mit Bright Data und Google Gemini)
Extrahieren und Suchen von ProductHunt-Daten mit Bright Data MCP und Google Gemini AI
Set
Function
Mcp Client
+
Set
Function
Mcp Client
21 NodesRanjan Dailata
Künstliche Intelligenz
Brave Suche strukturierte Datenextraktion (Bright Data MCP + Google Gemini)
Extraktion von strukturierten Daten aus Brave Search mit Bright Data MCP und Google Gemini
Set
Switch
Function
+
Set
Switch
Function
24 NodesRanjan Dailata
Künstliche Intelligenz
Etsy-Daten-Mining mit Bright Data-Scraping und Google Gemini
Automatisierung der Etsy-Datenanalyse mit Bright Data-Scraping und Google Gemini
Set
Function
Split Out
+
Set
Function
Split Out
19 NodesRanjan Dailata
Produkt
Automatisierter Lebenslauf-Job-Matching-Engine mit Bright Data und OpenAI 4o mini
Die automatische Job-Matching-Engine für Lebensläufe von Bright Data MCP und OpenAI 4o mini
Set
Function
Split Out
+
Set
Function
Split Out
22 NodesRanjan Dailata
Personalwesen
Bright Data und OpenAI für die Crunchbase B2B-Kundenfindungspipeline
Extrahieren und Zusammenfassen von B2B-Leads aus Crunchbase mit Bright Data, GPT-4o und Google Sheets
Set
Function
Http Request
+
Set
Function
Http Request
21 NodesRanjan Dailata
Vertrieb
Rechtsfall-Studien-Extraktor, Data-Mining-Tool mit Bright Data MCP und Google Gemini
Rechtsfall-Studien-Extractor und Data-Mining-Tool mit Bright Data MCP und Google Gemini
Set
Code
Wait
+
Set
Code
Wait
22 NodesRanjan Dailata
Künstliche Intelligenz
Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes18
Kategorie3
Node-Typen10
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse

A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com

Externe Links
Auf n8n.io ansehen →

Diesen Workflow teilen

Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34