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": "9Or3kzIEI2tskRyR",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Google Trend Data Extract, Summarization with Bright Data & Google Gemini",
"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": "29e6ce01-c42f-4155-add1-8a5cfff56967",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-420
],
"parameters": {},
"typeVersion": 1
},
{
"id": "6abf0439-8286-4198-9b5e-226a7bf805dc",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-780
],
"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nThis workflow deals with the structured data extraction by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Information Extraction, Summarization Chain are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the web URL of your interest within the \"Set URL and Bright Data Zone\" node and update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "6443bdea-4577-4983-adb7-0f52d6eb3825",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-780
],
"parameters": {
"width": 480,
"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nInformation Extraction is being used for the handling the structured data extraction.\n\nSummarization Chain is being used for building the summary."
},
"typeVersion": 1
},
{
"id": "31280203-1ab1-4fb5-862f-e9c4f2969436",
"name": "Markdown to Textual Data Extractor",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
860,
-420
],
"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "80e40926-aff3-4512-ad1e-61b3741b2387",
"name": "Set URL and Bright Data Zone",
"type": "n8n-nodes-base.set",
"position": [
420,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://trends.google.com/trends/explore?gprop=youtube&hl=en-US"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a60b2ac6-42c9-42af-a7fe-9cf570fcd017",
"name": "Initiate a Webhook Notification for Markdown to Textual Data Extraction",
"type": "n8n-nodes-base.httpRequest",
"position": [
1320,
-720
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c8f9b2ad-8e66-43d0-aeb5-3f5e202910d3",
"name": "Google Gemini Chat Model for Data Extract",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "30d3b080-d35a-422d-990d-0df0d73b96a8",
"name": "Perform Bright Data Web Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
640,
-420
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}?product=unlocker&method=api"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e",
"name": "Create a binary data",
"type": "n8n-nodes-base.function",
"position": [
1980,
-640
],
"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": "1c386966-85ae-4b30-a485-259f1eb0727b",
"name": "Structured Data Extractor",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1280,
-420
],
"parameters": {
"text": "=Extract the Google Trend Data in JSON.\n\nHere's the content:\n\n {{ $json.text }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"topics\": {\n\t\t\t\"type\": \"string\"\n\t\t},\"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1
},
{
"id": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
"name": "Summarize Google Trends",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
1760,
-420
],
"parameters": {
"options": {},
"chunkingMode": "advanced"
},
"typeVersion": 2
},
{
"id": "25f0a115-ba3a-4ec6-8fe6-8e33e6302a2b",
"name": "Initiate a Webhook Notification for Summarization",
"type": "n8n-nodes-base.httpRequest",
"position": [
2200,
-420
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.response.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "50b55d73-5506-439c-8e82-e198f3b4f431",
"name": "Write the file to disk",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2200,
-640
],
"parameters": {
"options": {},
"fileName": "d:\\google-trends.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "a163f8d3-2b5c-48a5-8a1d-26c0caba6383",
"name": "Google Gemini Chat Model for Summarization",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1860,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "9e3db8e9-ad4c-4247-841e-1f5f4937b93c",
"name": "Google Gemini Chat Model for Structured Data Extract",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1380,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "122d3269-e932-48e0-af01-e2c421650e16",
"name": "Send Summary to Gmail",
"type": "n8n-nodes-base.gmail",
"position": [
2200,
-160
],
"parameters": {
"sendTo": "ranjancse@gmail.com",
"message": "={{ $json.response.text }}",
"options": {},
"subject": "Google Trends Summary"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "bc73fbca-1218-47bd-93cf-b308b424894d",
"connections": {
"Create a binary data": {
"main": [
[
{
"node": "Write the file to disk",
"type": "main",
"index": 0
}
]
]
},
"Write the file to disk": {
"main": [
[]
]
},
"Summarize Google Trends": {
"main": [
[
{
"node": "Initiate a Webhook Notification for Summarization",
"type": "main",
"index": 0
},
{
"node": "Send Summary to Gmail",
"type": "main",
"index": 0
}
]
]
},
"Structured Data Extractor": {
"main": [
[
{
"node": "Create a binary data",
"type": "main",
"index": 0
},
{
"node": "Summarize Google Trends",
"type": "main",
"index": 0
}
]
]
},
"Set URL and Bright Data Zone": {
"main": [
[
{
"node": "Perform Bright Data Web Request",
"type": "main",
"index": 0
}
]
]
},
"Perform Bright Data Web Request": {
"main": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Set URL and Bright Data Zone",
"type": "main",
"index": 0
}
]
]
},
"Markdown to Textual Data Extractor": {
"main": [
[
{
"node": "Initiate a Webhook Notification for Markdown to Textual Data Extraction",
"type": "main",
"index": 0
},
{
"node": "Structured Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Data Extract": {
"ai_languageModel": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Summarization": {
"ai_languageModel": [
[
{
"node": "Summarize Google Trends",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Structured Data Extract": {
"ai_languageModel": [
[
{
"node": "Structured Data Extractor",
"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.
gmailOAuth2googlePalmApihttpHeaderAuth
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How this works
This workflow empowers marketers and analysts to effortlessly extract and summarise Google Trends data, revealing market insights without manual research. It automates pulling real-time trends via Bright Data's web scraping capabilities, then uses Google Gemini to condense the information into actionable reports. Ideal for businesses tracking consumer interests or competitors, the key step involves Gemini's intelligent summarisation, transforming raw data into concise, valuable narratives.
Use this workflow for periodic trend monitoring, such as weekly competitor analysis or seasonal demand forecasting, especially when integrating with tools like Google Sheets for storage. Avoid it for real-time alerts, as it's event-driven rather than continuous; opt for simpler HTTP requests if you only need basic data pulls without AI processing. Common variations include adding email notifications for summaries or chaining to social media posting for automated content creation.
About this workflow
Google Trend Data Extract, Summarization with Bright Data & Google Gemini. Uses manualTrigger, stickyNote, chainLlm, httpRequest. Event-driven trigger; 16 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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