Overview
This workflow automates the process of scraping job listings from Indeed, applying AI-driven filtering, and conducting company research using Apify and Tavily. It streamlines job data collection, enrichment, and management for efficient recruitment or market analysis.
Key Features
- Webhook Trigger: Initiates the workflow upon receiving new job search requests.
- Job Scraping: Uses Apify to extract job postings from Indeed.
- AI Filtering: Employs OpenAI via LangChain to filter and rank jobs based on custom criteria.
- Company Research: Integrates Tavily for automated company background checks.
- Data Management: Utilizes Google Sheets for storing, deduplicating, and updating job and company data.
- Automation Logic: Includes nodes for merging, removing duplicates, and looping through items for scalable processing.
Benefits
- Time Savings: Eliminates manual job search and research, accelerating candidate sourcing or market intelligence.
- Accuracy: AI-powered filtering ensures only relevant jobs are considered.
- Centralized Data: Google Sheets integration provides a single source of truth for job and company information.
- Scalability: Handles large volumes of job data with automated deduplication and enrichment.
Use Cases
- Recruitment teams seeking efficient job sourcing and company vetting.
- Market analysts tracking hiring trends and company activities.
- HR professionals automating candidate pipeline creation.
Integrations
- Apify, Tavily, OpenAI (LangChain), Google Sheets, Webhook.
