AutomationFlows › AI & RAG › Generate Company Stories From Linkedin with Bright Data & Google Gemini (lm…

Generate Company Stories From Linkedin with Bright Data & Google Gemini (lm…

Original n8n title: Generate Company Stories From Linkedin with Bright Data & Google Gemini (lm Chat Google Gemini)

ByRanjan Dailata @ranjancse✓ on n8n.io

The LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a professionally written narrative or story using a language model (e.g., OpenAI,…

Event trigger★★★★☆ complexityAI-powered19 nodesGoogle Gemini ChatDocument Default Data LoaderText Splitter Recursive Character Text SplitterHTTP RequestInformation ExtractorChain Summarization
AI & RAG Trigger: Event Nodes: 19 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #3540 — we link there as the canonical source.

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 →

Download .json 

  


  
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.


  
  
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro


  

  

    
About this workflow

    
The LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a professionally written narrative or story using a language model (e.g., OpenAI,…

    
Source: https://n8n.io/workflows/3540/ — original creator credit. Request a take-down →

    
More AI & RAG workflows → · Browse all categories →

  


  
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

  
AI & RAG

  
Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks (lm Chat Google Gemini)

  
This workflow is designed for professionals and teams who need real-time, structured insights from Perplexity Search results without manual effort.

  
Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +3





  
AI & RAG

  
API Schema Extractor

  
Api Schema Extractor. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

  
HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9





  
AI & RAG

  
Wait Splitout (http Request) #4

  
Wait Splitout. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

  
HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9





  
AI & RAG

  
API Schema Extractor (http Request)

  
This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema

  
HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9





  
AI & RAG

  
My Workflow 3

  
My workflow 3. Uses formTrigger, splitInBatches, lmChatGoogleGemini, httpRequest. Event-driven trigger; 36 nodes.

  
Form Trigger, Google Gemini Chat, HTTP Request +10