# LinkedIn profile extract and build JSON resume: 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/linkedin-profile-extract-and-build-json-resume (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Hiring](https://millionrounds.com/workflows?category=Hiring#library)

# LinkedIn profile extract and build JSON resume

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. 15 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Flinkedin-profile-extract-and-build-json-resume)

**15 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 6 Logic 4 Service 4

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 for Markdown to Textual** Lm Chat Google Gemini *Model*
- 3 **Google Gemini Chat Model for Skill Extractor** Lm Chat Google Gemini *Model*
- 4 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 5 **Set URL and Bright Data Zone** Set *Logic*
- 6 **Markdown to Textual Data Extractor** Chain Llm *Model*
- 7 **Skill Extractor** Information Extractor *Model*
- 8 **JSON Resume Extractor** Information Extractor *Model*
- 9 **Perform Bright Data Web Request** Http Request *Service*
- 10 **Create a binary data for Structured Skill Extract** Function *Logic*
- 11 **Code** Code *Logic*
- 12 **Write the structured skills content to disk** Read Write File *Service*
- 13 **Initiate a Webhook Notification for Structured Data** Http Request *Service*
- 14 **Create a binary data for Structured Data Extract** Function *Logic*
- 15 **Write the structured content to disk** Read Write File *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 15
- **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. 15 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 15 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%2Flinkedin-profile-extract-and-build-json-resume)
- **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.

## Workflows like it

Also hiring, with the same services where possible, closest in size first.

- [**AI Resume Customizer: Scrape Jobs, Tailor & Email Hiring Managers** 15 steps · calls a model · Gmail, Google Docs](https://millionrounds.com/workflow/ai-resume-customizer-scrape-jobs-tailor-and-email-hiring-man)
- [**AI-powered CV filtering with Llama3.1 LLM and Google Drive** 15 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/ai-powered-cv-filtering-with-llama3-1-llm-and-google-drive)
- [**Automate CV screening and candidate scoring with Gemini** 15 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/automate-cv-screening-and-candidate-scoring-with-gemini)
- [**Automate job applications with OpenAI and LinkedIn** 15 steps · calls a model · Gmail, Google Docs](https://millionrounds.com/workflow/automate-job-applications-with-openai-and-linkedin)
- [**Classify job applicants from CVs with Claude and PDF.co** 15 steps · calls a model · Gmail, Google Calendar](https://millionrounds.com/workflow/classify-job-applicants-from-cvs-with-claude-and-pdf-co)
- [**Generate Financial Risk Reports from ElevenLabs interviews** 15 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/generate-financial-risk-reports-from-elevenlabs-interviews)