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-driven analysis, and scalable handling of high-volume data. It outputs matched jobs via webhook and persists results to disk for easy integration into ATS systems or custom apps.
Ideal for HR tech startups, recruiting firms, job boards, and career coaches. Use cases: Automate candidate sourcing, provide personalized job recommendations, enrich ATS with AI insights, or build resume optimization tools. Community nodes require self-hosted n8n.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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