# LinkedIn talent pipeline: AI-powered candidate search & ranking: n8n workflow

> Started by someone opening a chat with it, and works across Google Sheets. It puts OpenAI behind a retrieval step, so answers are drawn from documents you...

Source: https://millionrounds.com/workflow/linkedin-talent-pipeline-ai-powered-candidate-search-and-ran (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 talent pipeline: AI-powered candidate search & ranking

Started by someone opening a chat with it, and works across Google Sheets. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 21 steps, 1 branch, 2 loops or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Flinkedin-talent-pipeline-ai-powered-candidate-search-and-ran)

**21 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**2** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 5 Logic 10 Service 5

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

- 1 **Job Description Input** Chat trigger *Starts it*
- 2 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 3 **Window Buffer Memory** Memory Buffer Window *Model*
- 4 **Structured Output Parser** Output Parser Structured *Model*
- 5 **Extract Job Details** Agent *Model*
- 6 **Set Search Page Numbers** Set *Logic*
- 7 **Split Search Pages** Split Out *Logic*
- 8 **Google Custom Search API Request** Http Request *Service*
- 9 **Filter LinkedIn Profiles** Function *Logic*
- 10 **Prepare Apify Input** Function *Logic*
- 11 **Extract Profile URLs** Code *Logic*
- 12 **Limit** Limit *Logic*
- 13 **Loop Over Items** Split In Batches *Logic*
- 14 **Run Apify Scraper** Http Request *Service*
- 15 **Wait for Scraping** Wait *Logic*
- 16 **Check Scraping Status** Http Request *Service*
- 17 **Verify Completion** If *Logic*
- 18 **Get LinkedIn Data** Http Request *Service*
- 19 **LLM Scoring** Open Ai *Model*
- 20 **Parse LLM Result** Code *Logic*
- 21 **Save to Google Sheets** Google Sheets *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 21, with 1 branch, 2 loops or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Google Sheets
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

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

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 21 steps it is large: read it before trusting it with anything live.

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 21 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-talent-pipeline-ai-powered-candidate-search-and-ran)
- **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.

## Connects to

Each opens the other workflows that use it.

[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)

## Workflows like it

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

- [**AI-Powered Interview Transcript Evaluation** 21 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/ai-powered-interview-transcript-evaluation)
- [**Bulk resume screening & JD matching with OpenAI** 21 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/bulk-resume-screening-and-jd-matching-with-openai)
- [**AI resume analysis & candidate evaluation with Slack** 20 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/ai-resume-analysis-and-candidate-evaluation-with-slack)
- [**Analyze your resume against LinkedIn jobs with OpenAI** 20 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/analyze-your-resume-against-linkedin-jobs-with-openai)
- [**Automate Candidate Screening with LlamaIndex** 20 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automate-candidate-screening-with-llamaindex)
- [**Extract structured candidate data from resumes with OpenAI** 20 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/extract-structured-candidate-data-from-resumes-with-openai)