This workflow follows the Chainllm → Chainsummarization 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": "AnbedV2Ntx97sfed",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data",
"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": "5f358132-63bd-4c66-80da-4fb9911f607f",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1140,
400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "43a157f6-2fb8-4c90-bf5d-92fc64c9df10",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"notes": "Gemini Experimental Model",
"position": [
760,
580
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-thinking-exp-01-21"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "f2d34617-ea34-4163-b9d5-a35fed807dbb",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
940,
580
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "707fdb4a-f534-4984-b97d-1839db1afc03",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1040,
800
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "0440b1dd-ca72-467c-a27a-76609ae08fcf",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-220,
400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6a7e5360-4cb5-4806-892e-5c85037fa71c",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Check Snapshot Status').item.json.status }}",
"rightValue": "ready"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "a23f3c86-200a-4d3c-a762-51cce158c4dd",
"name": "Set Snapshot Id",
"type": "n8n-nodes-base.set",
"position": [
-700,
400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2c3369c6-9206-45d7-9349-f577baeaf189",
"name": "snapshot_id",
"type": "string",
"value": "={{ $json.snapshot_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "cee238ff-f725-4a24-8117-540be1c66a56",
"name": "Download Snapshot",
"type": "n8n-nodes-base.httpRequest",
"position": [
140,
200
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
"options": {
"timeout": 10000
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "format",
"value": "json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "6bb33d11-7176-4dc7-89fe-1ee794793d3e",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
380,
380
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "b2309938-eaaf-4d63-b8c8-53666cd57dac",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
540,
380
],
"parameters": {
"jsonSchemaExample": "[{\n \"city\": \"string\",\n \"hotels\": [\n {\n \"name\": \"string\",\n \"address\": \"string\",\n \"description\": \"string\",\n \"website\": \"string\",\n \"area\": \"string (optional)\"\n }\n ]\n}\n]\n"
},
"typeVersion": 1.2
},
{
"id": "747b1e50-1cae-4efb-86d3-9221438701cd",
"name": "Check on the errors",
"type": "n8n-nodes-base.if",
"position": [
-20,
20
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b267071c-7102-407b-a98d-f613bcb1a106",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.errors.toString() }}",
"rightValue": "0"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0bf63795-1f1d-4d6b-90c1-1effae83fd40",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
80
],
"parameters": {
"width": 400,
"height": 220,
"content": "## Note\n\nDeals with the Bing Copilot Search using the Bright Data Web Scraper API.\n\nThe Basic LLM Chain and summarization is done to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "3872fb7a-382a-446d-8cb0-6ac5a282a801",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
80
],
"parameters": {
"width": 420,
"height": 220,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain makes use of the Output formatter for formatting the response\n\nSummarization Chain is being used for summarization of the content"
},
"typeVersion": 1
},
{
"id": "a1453c72-fef3-4cec-967a-858b28ba31d8",
"name": "Check Snapshot Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
-460,
400
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "5750853b-a07d-455e-b630-977dd733613e",
"name": "Structured Data Extractor",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
360,
200
],
"parameters": {
"text": "=Extract the content as a structured JSON.\n\nHere's the content - {{ $json.answer_text }}",
"messages": {
"messageValues": [
{
"message": "You are an expert data formatter"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "a86f935f-fe57-40ea-9197-5f20e3002899",
"name": "Concise Summary Creator",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
760,
200
],
"parameters": {
"options": {
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following:\n\n\n{{ $('Download Snapshot').item.json.answer_text }}\n\n",
"combineMapPrompt": "=Write a concise summary of the following:\n\n\n\n\n\nCONCISE SUMMARY: {{ $('Download Snapshot').item.json.answer_text }}"
}
}
},
"operationMode": "documentLoader"
},
"typeVersion": 2
},
{
"id": "848ce4b1-0aed-4af2-bf55-bcdb30bbc88a",
"name": "Wait for 30 seconds",
"type": "n8n-nodes-base.wait",
"position": [
-280,
660
],
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "5467a870-0734-457b-909e-be425a432ebf",
"name": "Structured Data Webhook Notifier",
"type": "n8n-nodes-base.httpRequest",
"position": [
760,
0
],
"parameters": {
"url": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "bf8a4868-ead7-411e-97ba-9faea308d836",
"name": "Summary Webhook Notifier",
"type": "n8n-nodes-base.httpRequest",
"position": [
1140,
200
],
"parameters": {
"url": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "60a59b93-9a7c-4d22-ab66-2249fb9ed27e",
"name": "Perform a Bing Copilot Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
-920,
400
],
"parameters": {
"url": "https://api.brightdata.com/datasets/v3/trigger",
"method": "POST",
"options": {},
"jsonBody": "[\n {\n \"url\": \"https://copilot.microsoft.com/chats\",\n \"prompt\": \"Top hotels in New York\"\n }\n]",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_m7di5jy6s9geokz8w"
},
{
"name": "include_errors",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "4462ae6e-4ecd-4f64-aad8-4aa9e65982b6",
"connections": {
"If": {
"main": [
[
{
"node": "Check on the errors",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for 30 seconds",
"type": "main",
"index": 0
}
]
]
},
"Set Snapshot Id": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Download Snapshot": {
"main": [
[
{
"node": "Structured Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Check on the errors": {
"main": [
[
{
"node": "Download Snapshot",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Concise Summary Creator",
"type": "ai_document",
"index": 0
}
]
]
},
"Wait for 30 seconds": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Check Snapshot Status": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Concise Summary Creator": {
"main": [
[
{
"node": "Summary Webhook Notifier",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Concise Summary Creator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Structured Data Extractor",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Structured Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Data Extractor": {
"main": [
[
{
"node": "Concise Summary Creator",
"type": "main",
"index": 0
},
{
"node": "Structured Data Webhook Notifier",
"type": "main",
"index": 0
}
]
]
},
"Perform a Bing Copilot Request": {
"main": [
[
{
"node": "Set Snapshot Id",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Perform a Bing Copilot Request",
"type": "main",
"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.
googlePalmApihttpHeaderAuth
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How this works
This workflow empowers you to effortlessly extract and summarise search results from Bing Copilot, delivering concise insights without sifting through lengthy pages manually. It's ideal for researchers, content creators, or analysts who need quick overviews of web data to inform decisions or reports. The key step involves using Bright Data to fetch a snapshot of the Copilot results, followed by Gemini AI to intelligently process and condense the information into structured summaries.
Use this workflow when you require automated, AI-driven digests of Bing searches for efficiency in fast-paced projects, such as market analysis or topic exploration. Avoid it for real-time queries needing instant responses, as it relies on snapshot downloads that introduce slight delays. Common variations include adapting the prompt in Gemini for custom summary formats or integrating additional tools like email nodes to distribute the outputs directly.
About this workflow
Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 19 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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