This workflow follows the Chainsummarization → 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": "ZCAkUSpaxzoRPbse",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks",
"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": "674c6b61-76fa-4ac0-ab32-3f48ed5cba39",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1140,
400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "f6066e4c-4f6f-48fd-b19f-2c25fdc5b8b2",
"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": "e16a1442-924a-4558-90cb-1c9ddc606532",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
940,
580
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "a8d9bc8e-c5f6-4d66-af60-9eecb9f6569c",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1040,
800
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "4ba96504-4ca5-43cf-962c-87320a683b09",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-200,
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": "={{ $json.status }}",
"rightValue": "ready"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "11fbf88d-99f7-453c-946d-65c886bd50b8",
"name": "Set Snapshot Id",
"type": "n8n-nodes-base.set",
"position": [
-740,
400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2c3369c6-9206-45d7-9349-f577baeaf189",
"name": "snapshot_id",
"type": "string",
"value": "={{ $json.snapshot_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2635d7ff-3de9-40af-925e-e391c3fd5f54",
"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": "fe5bff52-4745-4c8f-a5e8-b9b48d421ffe",
"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": "8124f050-ad7f-4478-8edf-c4d02193f54c",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
-200,
620
],
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "1926f22c-e269-40e8-a55d-3945810d13e2",
"name": "Check on the errors",
"type": "n8n-nodes-base.if",
"position": [
-80,
40
],
"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": "50a8f7ac-bf66-493e-956e-7278ea7702c1",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
40
],
"parameters": {
"width": 400,
"height": 240,
"content": "## Note\n\nDeals with the Perplexity Search using the Bright Data Web Scrapper API.\n\nThe information extraction and summarization are done to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "4906478c-6f10-4f47-94cc-78e36939e929",
"name": "Webhook Notifier",
"type": "n8n-nodes-base.httpRequest",
"position": [
1140,
200
],
"parameters": {
"url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "dd5dcbf3-bc3e-4676-af64-8a41807ba970",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
40
],
"parameters": {
"width": 420,
"height": 240,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nInformation extraction is being used for formatting the html to text\n\nSummarization Chain is being used for summarization of the content"
},
"typeVersion": 1
},
{
"id": "4cc0e400-5722-4eaf-ac95-10b0c9592345",
"name": "Perplexity Search 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://www.perplexity.ai\",\n \"prompt\": \"tell me about BrightData\",\n \"country\": \"US\"\n }\n]",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_m7dhdot1vw9a7gc1n"
},
{
"name": "include_errors",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "be9cc310-8f0d-4065-8246-aeddde697953",
"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": "66efd680-1d4d-4930-9712-ba9fd1b3a3be",
"name": "Readable Data Extractor",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
360,
200
],
"parameters": {
"text": "={{ $json.answer_html }}",
"options": {},
"attributes": {
"attributes": [
{
"name": "readable content",
"description": "Readable Content"
}
]
}
},
"typeVersion": 1
},
{
"id": "3c5b4744-7475-40a6-a1f5-cce2b700c84a",
"name": "Summarization of search result",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
760,
200
],
"parameters": {
"options": {},
"operationMode": "documentLoader"
},
"typeVersion": 2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "4628ec64-b023-4185-b38f-a74e2de76ec5",
"connections": {
"If": {
"main": [
[
{
"node": "Check on the errors",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Set Snapshot Id": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Download Snapshot": {
"main": [
[
{
"node": "Readable Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Check on the errors": {
"main": [
[
{
"node": "Download Snapshot",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Summarization of search result",
"type": "ai_document",
"index": 0
}
]
]
},
"Check Snapshot Status": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Readable Data Extractor": {
"main": [
[
{
"node": "Summarization of search result",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Summarization of search result",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Readable Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Perplexity Search Request": {
"main": [
[
{
"node": "Set Snapshot Id",
"type": "main",
"index": 0
}
]
]
},
"Summarization of search result": {
"main": [
[
{
"node": "Webhook Notifier",
"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": "Perplexity Search 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 search the web, extract and summarise key information, and deliver concise insights via webhooks, saving hours of manual research. It's ideal for analysts, content creators, or developers needing quick, AI-powered overviews of online data without sifting through endless pages. The core process begins with a Perplexity search to fetch relevant web content, followed by Bright Data to download full snapshots, and culminates in Gemini AI generating a structured summary, ensuring you receive focused, actionable results.
Use this when you need automated, on-demand summaries of dynamic web topics like market trends or news updates, integrating seamlessly with tools such as Google Gemini for intelligent processing. Avoid it for real-time scraping of protected sites or when simple keyword searches suffice, as it relies on event triggers for efficiency. Common variations include swapping Perplexity for custom queries or routing outputs to email instead of webhooks for broader notifications.
About this workflow
Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 17 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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