Automated LinkedIn Job Data Extraction and Resume Tailoring Workflow

This n8n workflow is designed to streamline the process of extracting job and company data from LinkedIn, managing and updating structured information in Google Sheets and Docs, and automating resume and cover letter creation for job applications. The workflow begins with a webhook trigger that initiates data scraping when a chat message is received, typically containing a LinkedIn job URL. It uses BrightData to scrape valuable job and company details, which are then stored in Google Sheets for easy reference.

Once the data is gathered, a central agent called ‘Master Agent’ orchestrates several sub-agents for specialized tasks. The Resume Editor agent tailors resumes based on company and role details, while the HR Reviewer agent evaluates the resume quality, providing comments and scores for iterative improvements. After achieving a satisfactory resume quality, the workflow proceeds to generate customized cover letters using ChatGPT.

Additionally, the workflow creates, updates, and manages Google Docs documents for proposals, cover letters, and interview coaching. It also incorporates feedback loops from the HR reviewer to refine resumes and interview preparation materials, ultimately providing comprehensive, personalized application packages for each LinkedIn job opportunity.

This workflow is practical in scenarios where recruitment teams or HR professionals need an automated solution for preparing tailored applications quickly, ensuring consistency and quality while saving valuable time.