# Automated resume job matching engine 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 OpenAI.

Source: https://millionrounds.com/workflow/automated-resume-job-matching-engine-with-bright-data-mcp (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)

# Automated resume job matching engine 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 OpenAI. 17 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomated-resume-job-matching-engine-with-bright-data-mcp)

**17 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

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

## The flow

Starts it 1 Model 7 Logic 4 Service 5

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

- 1 **When clicking ‘Test workflow’** Manual trigger *Starts it*
- 2 **Structured Output Parser** Output Parser Structured *Model*
- 3 **OpenAI Chat Model for Job Desc Extract** Lm Chat Open Ai *Model*
- 4 **OpenAI Chat Model for AI Job Match** Lm Chat Open Ai *Model*
- 5 **OpenAI Chat Model for Paginated Job Extract** Lm Chat Open Ai *Model*
- 6 **List all tools for Bright Data** Mcp Client *Service*
- 7 **AI Job Match** Chain Llm *Model*
- 8 **Job Desc Information Extractor** Information Extractor *Model*
- 9 **Paginated Job Data Extractor** Information Extractor *Model*
- 10 **Set the Input fields** Set *Logic*
- 11 **Create a binary data for AI Job Match** Function *Logic*
- 12 **Webhook Notification for AI Job Match** Http Request *Service*
- 13 **Split Out** Split Out *Logic*
- 14 **Bright Data MCP Client For Jobs Extraction** Mcp Client *Service*
- 15 **Write the AI job matched response to disk** Read Write File *Service*
- 16 **Loop Over Items** Split In Batches *Logic*
- 17 **Bright Data MCP Client For Jobs Extraction within a Loop** Mcp Client *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 17, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. 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 OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 17 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 17 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%2Fautomated-resume-job-matching-engine-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.

## Workflows like it

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

- [**AI resume screening & evaluation for HR with OpenAI** 17 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/ai-resume-screening-and-evaluation-for-hr-with-openai)
- [**Automate job applicant screening with OpenAI and Gmail** 17 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automate-job-applicant-screening-with-openai-and-gmail)
- [**Convert any file type into PDF and extract text** 17 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/convert-any-file-type-into-pdf-and-extract-text)
- [**Log new hiring leads from Apify to Sheets with OpenAI** 17 steps · calls a model · Apify, Google Sheets](https://millionrounds.com/workflow/log-new-hiring-leads-from-apify-to-sheets-with-openai)
- [**Ollama - self hosted - subreddit - recruiter** 17 steps · calls a model · MySQL](https://millionrounds.com/workflow/ollama-self-hosted-subreddit-recruiter)
- [**Resume data extraction and storage** 17 steps · calls a model · Gmail, Supabase](https://millionrounds.com/workflow/resume-data-extraction-and-storage)