Ranjan Dailata This workflow corresponds to n8n.io template #4821 — 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": "fw2n6WbzzOSBziD2",
"meta": {
"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": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1140,
440
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5ac1546f-0215-4ba4-996d-8b8298e8813b",
"name": "Sticky Note",
"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": "Set input fields",
"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": "List all tools for Bright Data",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
-920,
440
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "f06c235a-7726-4580-8ea3-1f34a789b153",
"name": "MCP Client for Search Engine",
"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": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "7462d4bf-eb0e-48e2-988f-64874a8e5c51",
"name": "Bright Data MCP Client For 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": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "1adbe55f-3649-45f3-825a-70ec021452dd",
"name": "DNB URL Data Extract Using 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": "DNB Structured Data Extract Using 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": "Create a binary data for Structured Data Extract",
"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": "Write the structured content to disk",
"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": "Initiate a Webhook Notification for Structured Data",
"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": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "de9da4f8-126d-48bd-a391-92f69a44a613",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-220,
240
],
"parameters": {
"width": 440,
"height": 120,
"content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
},
"typeVersion": 1
},
{
"id": "534cc990-a9fe-4d8c-813c-19f864e92dd8",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-700,
120
],
"parameters": {
"color": 5,
"width": 440,
"height": 240,
"content": "## LLM Usages\n\nOpenAI 4o mini LLM is being utilized for the structured data extraction handling."
},
"typeVersion": 1
},
{
"id": "95d188e1-8e68-4843-a4d7-fd25d066b4aa",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
-300
],
"parameters": {
"color": 7,
"width": 400,
"height": 400,
"content": "## Logo\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "439f4da4-5055-4281-895f-38768bb62168",
"name": "Structured Output Parser for URL",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-80,
660
],
"parameters": {
"jsonSchemaExample": "{\n\t\"url\": \"url\"\n}"
},
"typeVersion": 1.2
},
{
"id": "82b4a20c-2046-4314-8179-6123f18ea97f",
"name": "Structured Output Parser for Structured Extract",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
520,
660
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"$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 Chat Model for URL Data Extract",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-280,
660
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "5e577d2d-240a-4851-a1d7-04b66442049e",
"name": "OpenAI Chat Model for DNB Structured Data Extract",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
320,
660
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e8616327-2a5b-4815-bcff-ee154750f8cf",
"connections": {
"Set input fields": {
"main": [
[
{
"node": "MCP Client for Search Engine",
"type": "main",
"index": 0
}
]
]
},
"MCP Client for Search Engine": {
"main": [
[
{
"node": "DNB URL Data Extract Using LLM",
"type": "main",
"index": 0
}
]
]
},
"Bright Data MCP Client For DNB": {
"main": [
[
{
"node": "DNB Structured Data Extract Using LLM",
"type": "main",
"index": 0
}
]
]
},
"DNB URL Data Extract Using LLM": {
"main": [
[
{
"node": "Bright Data MCP Client For DNB",
"type": "main",
"index": 0
}
]
]
},
"List all tools for Bright Data": {
"main": [
[
{
"node": "Set input fields",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser for URL": {
"ai_outputParser": [
[
{
"node": "DNB URL Data Extract Using LLM",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "List all tools for Bright Data",
"type": "main",
"index": 0
}
]
]
},
"DNB Structured Data Extract Using LLM": {
"main": [
[
{
"node": "Create a binary data for Structured Data Extract",
"type": "main",
"index": 0
},
{
"node": "Initiate a Webhook Notification for Structured Data",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model for URL Data Extract": {
"ai_languageModel": [
[
{
"node": "DNB URL Data Extract Using LLM",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser for Structured Extract": {
"ai_outputParser": [
[
{
"node": "DNB Structured Data Extract Using LLM",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Create a binary data for Structured Data Extract": {
"main": [
[
{
"node": "Write the structured content to disk",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model for DNB Structured Data Extract": {
"ai_languageModel": [
[
{
"node": "DNB Structured Data Extract Using LLM",
"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.
mcpClientApiopenAiApi
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/4821/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Community nodes can only be installed on self-hosted instances of n8n.
N8N Nodes Mcp, Chain Llm, Output Parser Structured +3
Community nodes can only be installed on self-hosted instances of n8n.
N8N Nodes Mcp, Information Extractor, Chain Llm +4
Automated Resume Job Matching Engine with Bright Data & OpenAI 4o mini. Uses n8n-nodes-mcp, informationExtractor, chainLlm, outputParserStructured. Event-driven trigger; 22 nodes.
N8N Nodes Mcp, Information Extractor, Chain Llm +4
RAG CHATBOT Main. Uses telegram, telegramTrigger, lmChatOpenAi, n8n-nodes-mcp. Event-driven trigger; 87 nodes.
Telegram, Telegram Trigger, OpenAI Chat +8
Community nodes can only be installed on self-hosted instances of n8n.
HTTP Request, Google Gemini Chat, Chain Llm +4