This workflow is designed for job seekers who want to automate their job application research and resume optimization. It's ideal for professionals who want to match their CVs to new job postings daily, improving the chance of landing interviews without manual work.
Problem: Manually searching for jobs, matching resumes, and updating application records is time-consuming and inefficient.
Use Case: Automatically fetches new job listings based on user preferences, scores them against the user's existing CV, generates a revamped CV tailored for each job, and stores everything neatly into an Airtable database for easy tracking.
Apify API: Set up a scraper for LinkedIn, Indeed, or other job boards.
OpenAI API: Provide access to a GPT model (ideally GPT-4 Turbo) to handle CV scoring and revamping.
Airtable: Create two tables:
One for archived jobs (old jobs >48 hours).
One for current processed jobs with AI scores and revamped CVs.
job_title
,company
,location
,date_posted
,job_type
,description
,link
,compatibilityScore
,matcReason
,revampedCV
,newCompatibilityScore
,newMatchReason
.Edit Job Preferences: Add or update the fields in Google Sheets (Columns: job_title
, job_location
) to search.
Fine-tune AI Prompts: Adjust the scoring criteria (e.g., favor remote roles, leadership experience, certifications).
Customize CV Style: Configure the AI to generate shorter, more detailed, or industry-specific resumes.
Change Storage Destination: Replace Airtable with Notion, Google Sheets, a CRM system, or even send yourself Slack updates.
Expand Job Sources: Easily swap the job scraper to pull listings from your favorite niche job boards.
For setup guidance, customization, or business inquiries,
Email: [email protected]