Ranjan Dailata This workflow corresponds to n8n.io template #4354 — we link there as the canonical source.
This workflow follows the Chainllm → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "Qgx75aQeRKXKtqm7",
"meta": {
"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"
}
],
"nodes": [
{
"id": "9e9a27ce-b95c-4ecd-b3c4-97aba420ce45",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-520,
140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3f9e30b5-7eb3-454d-a831-07be51f7a326",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
40
],
"parameters": {
"color": 4,
"width": 440,
"height": 320,
"content": "## Bright Data Legal Case Research Scraper"
},
"typeVersion": 1
},
{
"id": "8f1934bf-ccec-4b25-b6cc-7607dcbdf798",
"name": "List all tools for Bright Data",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
-300,
140
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "f8c4804a-85ad-462c-913d-e0bc5242bc74",
"name": "Create a binary data for LinkedIn company info extract",
"type": "n8n-nodes-base.function",
"position": [
2440,
60
],
"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": "c616db9f-fcf3-4f9d-b60f-a16c9da89456",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1220,
-180
],
"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": "Set the Legal Case Research URL",
"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"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8dc0a8cd-e4d9-4252-9dd2-94ee95d698e9",
"name": "Bright Data MCP Client For Legal Case Research",
"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": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "f3ea0d19-703b-4f99-955c-122162065363",
"name": "Case Extractor",
"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": "Structured Output 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": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1320,
140
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "74a02ac0-859d-4611-aeb0-021a654c92b8",
"name": "Bright Data MCP Client For Legal Case Research Within Loop",
"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": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "beb67c30-dd39-4c7d-94f8-853410dec09b",
"name": "HTML to Textual Data Extract Within Loop",
"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 Notification for HTML to Textual Data Extract Within the Loop",
"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": "Write the case content to disk",
"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 Model For Case Data Extract",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
580,
360
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "0057d772-732e-4e47-8ab8-eebe140df692",
"name": "Code to output the collection of cases",
"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 Model for HTML to Textual Data Extract Within the Loop",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2100,
360
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "90f4670a-1fca-4826-9017-64a31f29cbc2",
"name": "Sticky Note1",
"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": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"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": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-860
],
"parameters": {
"color": 7,
"width": 400,
"height": 400,
"content": "## Logo\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "96d74c50-074e-4b83-9422-ff2ce56bd55d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-360
],
"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": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
1580,
160
],
"parameters": {
"amount": 10
},
"typeVersion": 1.1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "03af01f8-7276-4c3c-a610-6532f0d51ef7",
"connections": {
"Wait": {
"main": [
[
{
"node": "Bright Data MCP Client For Legal Case Research Within Loop",
"type": "main",
"index": 0
}
]
]
},
"Case Extractor": {
"main": [
[
{
"node": "Code to output the collection of cases",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Case Extractor",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"List all tools for Bright Data": {
"main": [
[
{
"node": "Set the Legal Case Research URL",
"type": "main",
"index": 0
}
]
]
},
"Write the case content to disk": {
"main": [
[]
]
},
"Set the Legal Case Research URL": {
"main": [
[
{
"node": "Bright Data MCP Client For Legal Case Research",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "List all tools for Bright Data",
"type": "main",
"index": 0
}
]
]
},
"Code to output the collection of cases": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"HTML to Textual Data Extract Within Loop": {
"main": [
[
{
"node": "Create a binary data for LinkedIn company info extract",
"type": "main",
"index": 0
},
{
"node": "Webhook Notification for HTML to Textual Data Extract Within the Loop",
"type": "main",
"index": 0
}
]
]
},
"Bright Data MCP Client For Legal Case Research": {
"main": [
[
{
"node": "Case Extractor",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model For Case Data Extract": {
"ai_languageModel": [
[
{
"node": "Case Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Create a binary data for LinkedIn company info extract": {
"main": [
[
{
"node": "Write the case content to disk",
"type": "main",
"index": 0
}
]
]
},
"Bright Data MCP Client For Legal Case Research Within Loop": {
"main": [
[
{
"node": "HTML to Textual Data Extract Within Loop",
"type": "main",
"index": 0
}
]
]
},
"Webhook Notification for HTML to Textual Data Extract Within the Loop": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for HTML to Textual Data Extract Within the Loop": {
"ai_languageModel": [
[
{
"node": "HTML to Textual Data Extract Within Loop",
"type": "ai_languageModel",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googlePalmApimcpClientApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Community nodes can only be installed on self-hosted instances of n8n.
Source: https://n8n.io/workflows/4354/ — original creator credit. Request a take-down →
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