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": "q1DorytEoEw1QLGj",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Generate Company Stories from LinkedIn with Bright Data & Google Gemini",
"tags": [
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
},
{
"id": "rKOa98eAi3IETrLu",
"name": "HR",
"createdAt": "2025-04-13T04:59:30.580Z",
"updatedAt": "2025-04-13T04:59:30.580Z"
}
],
"nodes": [
{
"id": "1424195e-79ec-48e8-9bb6-fbae072aca81",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1440,
245
],
"parameters": {},
"typeVersion": 1
},
{
"id": "509519c2-efe9-4191-87af-9c5c782350d6",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"notes": "Gemini Experimental Model",
"position": [
696,
540
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-thinking-exp-01-21"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "3be8be65-38c2-4500-8676-925bdf7844ac",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
816,
542.5
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "65b72f55-6424-487b-a622-879589d43344",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
904,
740
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "4ab31927-5372-4a8f-83b5-355bcd6eaae2",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-340,
170
],
"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": "30382d3b-6ba8-4a96-93ce-9d22fc547793",
"name": "Set Snapshot Id",
"type": "n8n-nodes-base.set",
"position": [
-780,
245
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2c3369c6-9206-45d7-9349-f577baeaf189",
"name": "snapshot_id",
"type": "string",
"value": "={{ $json.snapshot_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a4867b6f-fa91-4b83-befc-9ce97c10228c",
"name": "Download Snapshot",
"type": "n8n-nodes-base.httpRequest",
"position": [
100,
120
],
"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": "16580d94-23fc-45d6-a282-640148b602d3",
"name": "Set LinkedIn URL",
"type": "n8n-nodes-base.set",
"position": [
-1220,
245
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "47f839a1-df2a-4972-9dad-597a8af0bf75",
"name": "url",
"type": "string",
"value": "https://il.linkedin.com/company/bright-data"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "be007904-269a-4823-bdd8-1ba5b4f69f5c",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
408,
340
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "56a08c75-5122-483e-af0e-da1dd3e08eaf",
"name": "Check on the errors",
"type": "n8n-nodes-base.if",
"position": [
-120,
120
],
"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": "6925a606-1108-4605-9124-c74d3df555ac",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1420,
-100
],
"parameters": {
"width": 400,
"height": 280,
"content": "## Note\n\nDeals with the LinkedIn data extraction using the Bright Data Web Scrapper API.\n\nThe information extraction and summarization are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the LinkedIn URL and Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "a5f977db-14e5-4652-b2d3-0a1b0470be9a",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-940,
-100
],
"parameters": {
"width": 420,
"height": 280,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nInformation extraction is being used for formatting the LinkedIn response to produce a story.\n\nSummarization Chain is being used for summarization of the content"
},
"typeVersion": 1
},
{
"id": "ae6377e2-6ca0-4218-affd-d3c81c16d996",
"name": "Perform LinkedIn Web Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1000,
245
],
"parameters": {
"url": "https://api.brightdata.com/datasets/v3/trigger",
"method": "POST",
"options": {},
"jsonBody": "=[\n {\n \"url\": \"{{ $json.url }}\"\n }\n]",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_l1vikfnt1wgvvqz95w"
},
{
"name": "include_errors",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "9a1e8d92-24a9-481c-b81f-5e37bca46fe2",
"name": "Check Snapshot Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
-560,
245
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "543d6087-c1d8-4f98-9b7c-fedbce9b0215",
"name": "LinkedIn Data Extractor",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
320,
120
],
"parameters": {
"text": "=Write a complete story of the provided company information in JSON. Use the following Company info to produce a story or a blog post. Make sure to incorporate all the provided company context.\n\nHere's the Company Info in JSON - {{ $json.input }}",
"options": {
"systemPromptTemplate": "You are an expert data formatter"
},
"attributes": {
"attributes": [
{
"name": "company_story",
"required": true,
"description": "Detailed Company Info"
}
]
}
},
"typeVersion": 1
},
{
"id": "d07c83f0-5adf-4d5a-976a-b344aa8a853e",
"name": "Concise Summary Generator",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
712,
320
],
"parameters": {
"options": {
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following:\n\n\n{{ $json.output.company_story }}\n\n",
"combineMapPrompt": "=Write a concise summary of the following:\n\n\n\n\n\nCONCISE SUMMARY: {{ $json.output.company_story }}"
}
}
},
"operationMode": "documentLoader"
},
"typeVersion": 2
},
{
"id": "0867753e-c3ab-473e-960a-344573cdde29",
"name": "Webhook Notifier for Data Extractor",
"type": "n8n-nodes-base.httpRequest",
"position": [
834,
-80
],
"parameters": {
"url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "d666cbb8-64bf-47b9-802a-d78ed5caa128",
"name": "Webhook Notifier for Summary Generator",
"type": "n8n-nodes-base.httpRequest",
"position": [
1192,
320
],
"parameters": {
"url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.response.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fbd962be-5003-4039-b17e-fc0f16c2edf7",
"name": "Wait for 30 seconds",
"type": "n8n-nodes-base.wait",
"position": [
-120,
345
],
"parameters": {
"amount": 30
},
"typeVersion": 1.1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "0f4279a9-1593-421e-825e-850cdae1bb97",
"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
}
]
]
},
"Set LinkedIn URL": {
"main": [
[
{
"node": "Perform LinkedIn Web Request",
"type": "main",
"index": 0
}
]
]
},
"Download Snapshot": {
"main": [
[
{
"node": "LinkedIn 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 Generator",
"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
}
]
]
},
"LinkedIn Data Extractor": {
"main": [
[
{
"node": "Concise Summary Generator",
"type": "main",
"index": 0
},
{
"node": "Webhook Notifier for Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Concise Summary Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Concise Summary Generator": {
"main": [
[
{
"node": "Webhook Notifier for Summary Generator",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "LinkedIn Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Perform LinkedIn Web 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": "Set LinkedIn URL",
"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 transforms raw LinkedIn company data into engaging, narrative stories, helping marketers, researchers, and business analysts craft compelling content without manual effort. By scraping profiles via Bright Data and analysing them with Google Gemini, it delivers polished summaries that highlight company journeys, achievements, and insights. The key step involves downloading a data snapshot from Bright Data, splitting the text for processing, and feeding it into Google Gemini to generate a cohesive story, saving hours of research time.
Use this workflow when you need quick, AI-powered narratives from LinkedIn profiles for reports, pitches, or social media, especially for tracking competitor evolutions or lead generation. Avoid it for real-time data pulls, as it relies on pre-captured snapshots, or when handling sensitive personal data due to scraping limitations. Common variations include adapting the prompt in Google Gemini for industry-specific angles or integrating with email nodes to automate story distribution.
About this workflow
Generate Company Stories from LinkedIn with Bright Data & Google Gemini. 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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