Rechtsfall-Studien-Extraktor, Data-Mining-Tool mit Bright Data MCP und Google Gemini

Name: Rechtsfall-Studien-Extraktor, Data-Mining-Tool mit Bright Data MCP und Google Gemini
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Experte

Dies ist ein AI, IT Ops-Bereich Automatisierungsworkflow mit 22 Nodes. Hauptsächlich werden Set, Code, Wait, Function, McpClient und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Rechtsfall-Studien-Extractor und Data-Mining-Tool mit Bright Data MCP und Google Gemini

Voraussetzungen

•Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
•Google Gemini API Key

Verwendete Nodes (22)

OutputParserStructured

Kategorie

Künstliche Intelligenz

IT-Betrieb

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Bei Klick auf 'Test-Workflow'

Alle Tools für Bright Data auflisten

Binärdaten für LinkedIn Firmeninfo-Extraktion erstellen

URL für Rechtsfallrecherche setzen

Bright Data MCP Client für Rechtsfallrecherche

Fall-Extraktor

Strukturierter Ausgabe-Parser

Über Elemente iterieren

Bright Data MCP Client für Rechtsfallrecherche in Schleife

HTML zu Textdaten-Extraktion in Schleife

Webhook Benachrichtigung für HTML-zu-Textdaten-Extraktion in Schleife

Fallinhalt auf Festplatte schreiben

Google Gemini Chat-Modell für Falldaten-Extraktion

Code zur Ausgabe der Fallkollektion

Google Gemini Chat-Modell für HTML-zu-Textdaten-Extraktion in Schleife

Warten

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "id": "Qgx75aQeRKXKtqm7",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Legal Case Research Extractor, Data Miner with Bright Data MCP & Google Gemini",
  "tags": [
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
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  "nodes": [
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      "name": "Bei Klick auf 'Test-Workflow'",
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        140
      ],
      "parameters": {},
      "typeVersion": 1
    },
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      "position": [
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        40
      ],
      "parameters": {
        "color": 4,
        "width": 440,
        "height": 320,
        "content": "## Bright Data Legal Case Research Scraper"
      },
      "typeVersion": 1
    },
    {
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      "name": "Alle Tools für Bright Data auflisten",
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      "name": "Binärdaten für LinkedIn Firmeninfo-Extraktion erstellen",
      "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
    },
    {
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      "name": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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": "048c1093-ea88-441c-98fa-a2d003ab6b8d",
      "name": "URL für Rechtsfallrecherche setzen",
      "type": "n8n-nodes-base.set",
      "position": [
        -20,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "214e61a0-3587-453f-baf5-eac013990857",
              "name": "url",
              "type": "string",
              "value": "https://www.courtlistener.com/?q=IT%20laws%20for%20cyber%20crime&type=o&order_by=dateFiled%20desc&stat_Published=on"
            },
            {
              "id": "45014942-0a2e-4f46-b395-f82f97bfa93e",
              "name": "webhook_url",
              "type": "string",
              "value": "https://webhook.site/7b5380a0-0544-48dc-be43-0116cb2d52c2"
            },
            {
              "id": "bf011e1f-7032-49db-8f25-31ec4c35b9c5",
              "name": "base_url",
              "type": "string",
              "value": "https://www.courtlistener.com"
            }
          ]
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      },
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    },
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      "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": [
        200,
        140
      ],
      "parameters": {
        "toolName": "scrape_as_html",
        "operation": "executeTool",
        "toolParameters": "={\n   \"url\": \"{{ $json.url }}\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "f3ea0d19-703b-4f99-955c-122162065363",
      "name": "Fall-Extraktor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        600,
        140
      ],
      "parameters": {
        "text": "=Extract the content in a structured format. Here's the content : {{ $json.result.content[0].text }}",
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert structured data extractor"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": true,
      "typeVersion": 1.6
    },
    {
      "id": "a3fe5ce7-3a91-459d-8ef8-17a06fbef12a",
      "name": "Strukturierter Ausgabe-Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        800,
        360
      ],
      "parameters": {
        "jsonSchemaExample": "[{\n\"Id\": \"\",\n\"Link\" : \"\",\n\"Title\": \n\"United States v. IXCOLGONZALEZ\"\n}]"
      },
      "typeVersion": 1.2
    },
    {
      "id": "5fd6d0a3-46ca-4184-bc5c-dfc0966f0538",
      "name": "Über Elemente iterieren",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1320,
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      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
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      "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": [
        1860,
        160
      ],
      "parameters": {
        "toolName": "scrape_as_html",
        "operation": "executeTool",
        "toolParameters": "={\n   \"url\": \"{{ $('Set the Legal Case Research URL').item.json.base_url }}/{{ $json.Link }}\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "beb67c30-dd39-4c7d-94f8-853410dec09b",
      "name": "HTML zu Textdaten-Extraktion in Schleife",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        2080,
        160
      ],
      "parameters": {
        "text": "=Extract html to textual content  {{ $json.result.content[0].text }}",
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.6
    },
    {
      "id": "b7fc74e5-4165-4b1a-9c0a-27565302c0e1",
      "name": "Webhook Benachrichtigung für HTML-zu-Textdaten-Extraktion in Schleife",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2440,
        260
      ],
      "parameters": {
        "url": "={{ $('Set the Legal Case Research URL').item.json.webhook_url }}",
        "options": {},
        "sendBody": true,
        "contentType": "multipart-form-data",
        "bodyParameters": {
          "parameters": [
            {
              "name": "case_content",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "07b78de1-fdc8-4233-a231-37258fa5d1f0",
      "name": "Fallinhalt auf Festplatte schreiben",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2700,
        60
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Case-{{ $('Loop Over Items').item.json['Id'] }}.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "ff687082-9e3d-4043-9aa6-29e3029499d4",
      "name": "Google Gemini Chat-Modell für Falldaten-Extraktion",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        580,
        360
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
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      "name": "Code zur Ausgabe der Fallkollektion",
      "type": "n8n-nodes-base.code",
      "position": [
        980,
        140
      ],
      "parameters": {
        "jsCode": "\nreturn $input.first().json.output"
      },
      "typeVersion": 2
    },
    {
      "id": "c843170b-e360-4eea-853c-ef38c9f3affe",
      "name": "Google Gemini Chat-Modell für HTML-zu-Textdaten-Extraktion in Schleife",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        2100,
        360
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "90f4670a-1fca-4826-9017-64a31f29cbc2",
      "name": "Haftnotiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1220,
        0
      ],
      "parameters": {
        "color": 5,
        "width": 1660,
        "height": 520,
        "content": "## Bright Data Legal Case Research Scraper\n\nLoop through and perform the data extraction using MCP and LLMs"
      },
      "typeVersion": 1
    },
    {
      "id": "58aac68b-2598-465b-ab3c-f5c0ebcdb595",
      "name": "Haftnotiz4",
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      "position": [
        -60,
        -260
      ],
      "parameters": {
        "color": 5,
        "width": 440,
        "height": 220,
        "content": "## LLM Usages\n\nOpenAI 4o mini LLM is being utilized for the structured data extraction handling."
      },
      "typeVersion": 1
    },
    {
      "id": "14bbbc73-06cd-4513-b9e6-2aebb5009c3d",
      "name": "Haftnotiz5",
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      "position": [
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      ],
      "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": "96d74c50-074e-4b83-9422-ff2ce56bd55d",
      "name": "Haftnotiz3",
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      "position": [
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      ],
      "parameters": {
        "width": 400,
        "height": 320,
        "content": "## Note\n\nDeals with the Legal Case data extraction by utilizing the Bright Data MCP and OpenAI GPT 4o LLM.\n\n**Please make sure to set the input fields node with the Legal case URL\n\nPlease make sure to update the Webhook Notification URL of your interest**"
      },
      "typeVersion": 1
    },
    {
      "id": "08c6a217-5773-4ebc-ba6e-326de99e90e5",
      "name": "Warten",
      "type": "n8n-nodes-base.wait",
      "position": [
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        160
      ],
      "webhookId": "65c9fcd3-2c82-4bdd-80b6-271d65b7f61a",
      "parameters": {
        "amount": 10
      },
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    }
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}

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 - Künstliche Intelligenz, IT-Betrieb

Ist es kostenpflichtig?

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