LinkedIn & Indeed Job Scraper with Bright Data & Google Sheets

This n8n workflow enables automated job scraping from LinkedIn and Indeed using Bright Data's professional scraping APIs. It starts with a form trigger capturing user inputs like job title, city, country, and job type, then formats data for both platforms. Parallel HTTP requests initiate scraping tasks, monitoring completion status with intelligent retries to ensure reliable data collection.

Key features include custom output fields for job details (ID, title, company, location, salary, description), data deduplication, and enrichment. Results from both sites are merged, cleaned, and exported directly to Google Sheets, providing a centralized dashboard for job market insights.

Benefits: Saves hours of manual searching, scales for multiple queries, handles rate limits via Bright Data, and supports analysis for recruitment, market research, or career tracking. Ideal for HR teams, job boards, or analysts needing real-time job data without coding complex scrapers.

Use cases: Monitor competitor hiring trends, build job aggregators, automate talent pipelines, or generate reports on salary benchmarks across locations.