Overview
This workflow automates the extraction of LinkedIn profile data and transforms it into a structured JSON resume using advanced AI and data processing tools.
Key Features
- Initiates on manual trigger for controlled execution.
- Utilizes Bright Data for robust web scraping of LinkedIn profiles.
- Processes and cleans extracted data using markdown-to-text conversion and custom functions.
- Employs Google Gemini AI models for information extraction and skill identification.
- Structures the processed data into a standardized JSON resume format.
- Saves the resume to disk and sends a webhook notification upon completion.
Benefits
- Eliminates manual data entry and resume formatting, saving significant time.
- Ensures high accuracy and consistency in extracted professional data.
- Leverages AI for deeper insights, such as skill extraction and content structuring.
- Streamlines HR and recruiting processes by automating candidate data collection.
Use Cases
- HR teams automating candidate profile collection and resume generation.
- Recruitment agencies building talent databases from LinkedIn.
- Businesses seeking to enrich CRM or HR systems with structured professional data.
Integrations
- Bright Data for web scraping.
- Google Gemini for AI-powered data extraction and analysis.
- n8n nodes for workflow orchestration, file handling, and notifications.
