# Extract, Transform LinkedIn Data with Bright Data MCP: n8n workflow

> Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Gemini.

Source: https://millionrounds.com/workflow/extract-transform-linkedin-data-with-bright-data-mcp (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Setup and learning](https://millionrounds.com/workflows?category=Setup+and+learning#library)

# Extract, Transform LinkedIn Data with Bright Data MCP

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Gemini. 18 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fextract-transform-linkedin-data-with-bright-data-mcp)

**18 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 1 Model 2 Logic 7 Service 8

The steps in the order they run, from what starts it.

- 1 **When clicking ‘Test workflow’** Manual trigger *Starts it*
- 2 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 3 **List all available tools for Bright Data** Mcp Client *Service*
- 4 **List all tools for Bright Data** Mcp Client *Service*
- 5 **LinkedIn Data Extractor** Information Extractor *Model*
- 6 **Set the URLs** Set *Logic*
- 7 **Set the LinkedIn Company URL** Set *Logic*
- 8 **Merge** Merge *Logic*
- 9 **Bright Data MCP Client For LinkedIn Person** Mcp Client *Service*
- 10 **Bright Data MCP Client For LinkedIn Company** Mcp Client *Service*
- 11 **Aggregate** Aggregate *Logic*
- 12 **Webhook for LinkedIn Person Web Scraper** Http Request *Service*
- 13 **Create a binary data for LinkedIn person info extract** Function *Logic*
- 14 **Code** Code *Logic*
- 15 **Webhook for LinkedIn Company Web Scraper** Http Request *Service*
- 16 **Create a binary data for LinkedIn company info extract** Function *Logic*
- 17 **Write the LinkedIn person info to disk** Read Write File *Service*
- 18 **Write the LinkedIn company info to disk** Read Write File *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 18
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** Gemini

## Questions

What does it need to run?

An n8n account, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 18 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 18 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fextract-transform-linkedin-data-with-bright-data-mcp)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

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