Automated Resume-Job Matching with Bright Data & OpenAI

    Automates extraction of LinkedIn job postings via Bright Data MCP and semantic matching of resumes to jobs using OpenAI 4o mini, with pagination and file persistence.

    This workflow powers an intelligent resume-job matching engine for HR platforms and recruiters. It leverages Bright Data's MCP infrastructure to scrape real-time LinkedIn job listings with advanced filtering and pagination support, overcoming traditional scraping limitations. Resumes are then semantically analyzed against job requirements using OpenAI's 4o mini model for precise candidate-job fit scoring. Key benefits include massive time savings on manual matching, reduced bias through AI-driv
    Platform
    n8n
    Category
    Internet of Things
    Price
    $24.99
    Creator
    Bryce Yu
    • HR Automation
    • ATS
    • Resume Matching
    • Job Scraping
    • LinkedIn
    • OpenAI
    • Bright Data
    • AI Matching
    • Recruiting
    • Talent Sourcing
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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    Automated Resume-Job Matching with Bright Data & OpenAI - n8n Workflow | Neura Market