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Generate company stories from LinkedIn with Bright Data & Google Gemini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who this is for? 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...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.

Original n8n.io source

1.1 Workflow description

Title
Generate company stories from LinkedIn with Bright Data & Google Gemini
Workflow name
Generate company stories from LinkedIn with Bright Data & Google Gemini

Who this is for?

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, Gemini). The final output is sent via webhook notification, making it easy to publish, review, or further automate.

This workflow is tailored for:​

  • Marketing Professionals: Seeking to generate compelling company narratives for campaigns.​

  • Sales Teams: Aiming to understand potential clients through summarized company insights.​

  • Content Creators: Looking to craft stories or articles based on company data.​

  • Recruiters: Interested in obtaining concise overviews of companies for talent acquisition strategies.​

What problem is this workflow solving?

Manually gathering and summarizing company information from LinkedIn can be time-consuming and inconsistent. This workflow automates the process, ensuring:​

  • Efficiency: Quick extraction and summarization of company data.​

  • Consistency: Standardized summaries for uniformity across use cases.​

  • Scalability: Ability to process multiple companies without additional manual effort.

What this workflow does

The workflow performs the following steps:​

  • Input Acquisition: Receives a company's name or LinkedIn URL as input.​

  • Data Extraction: Utilizes Bright Data to scrape the company's LinkedIn profile.​

  • Information Parsing: Processes the extracted HTML content to retrieve relevant company details.​

  • Summarization: Employs AI Google Gemini to generate a concise company story.

  • Output Delivery: Sends the summarized content to a specified webhook or email address.

Setup

  • Sign up at Bright Data.
  • Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  • In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
  • In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).
  • Update the LinkedIn URL by navigating to the Set LinkedIn URL node.
  • Update the Webhook HTTP Request node with the Webhook endpoint of your choice.

How to customize this workflow to your needs

  • Input Variations: Modify the Set LinkedIn URL node to accept a different company LinkedIn URL.

  • Data Points: Adjust the HTML Data Extractor Node to retrieve additional details like employee count, industry, or headquarters location.​

  • Summarization Style: Customize the AI prompt to generate summaries in different tones or formats (e.g., formal, casual, bullet points).​

  • Output Destinations: Configure the output node to send summaries to various platforms, such as Slack, CRM systems, or databases.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 3 - Default Data Loader

Type / Role
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices
Version 1

Block 4 - Recursive Character Text Splitter

Type / Role
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices
Version 1

Block 5 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 6 - Set Snapshot Id

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 7 - Download Snapshot

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 8 - Set LinkedIn URL

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 9 - Google Gemini Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 10 - Check on the errors

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 11 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Perform LinkedIn Web Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 14 - Check Snapshot Status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 15 - LinkedIn Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1

Block 16 - Concise Summary Generator

Type / Role
@n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices
Version 2

Block 17 - Webhook Notifier for Data Extractor

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 18 - Webhook Notifier for Summary Generator

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 19 - Wait for 30 seconds

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

3. Summary Table

Workflow Generate company stories from LinkedIn with Bright Data & Google Gemini
Complexity advanced
Nodes 19
Categories Content Creation, Multimodal AI
Author Ranjan Dailata
Published 13 Apr 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3540/3540.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate company stories from LinkedIn with Bright Data & Google Gemini do?

Who this is for? 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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.