How it works
How it works This workflow automatically scrapes LinkedIn job postings for a list of target companies and organizes the results in Google Sheets. Every Monday morning, it checks your company list, runs a LinkedIn job scrape using Phantombuster, waits for the data to be ready, and then fetches the results. Finally, it formats the job postings into a clean structure and saves them into a results sheet for easy analysis. Step-by-step Start with Scheduled Trigger The workflow runs automatically at 9:00 AM every Monday. It reads your “Companies Sheet” in Google Sheets and filters only those marked with Status = Pending. Scrape LinkedIn Jobs The workflow launches your Phantombuster agent with the LinkedIn profile URLs from the sheet. It waits 3 minutes to let the scraper finish running. Then it fetches the output CSV link containing the job posting results. Format the Data The scraped data is cleaned and structured into fields like: Company Name Job Title Job Description Job Link Date Posted Location Employment Type Save Everything in Google Sheets The formatted job data is appended into your “Job Results” Google Sheet. Each entry includes a scrape date so you can track when the data was collected. Why use this? Automates job market research and competitive hiring analysis. Collects structured job posting data from multiple companies at scale. Saves time by running on a schedule with no manual effort. Keeps all results organized in Google Sheets for easy review and sharing. Helps HR and recruitment teams stay ahead of competitors’ hiring activity. An n8n automation workflow template by Avkash Kakdiya.
Avkash Kakdiya
web
free
Others in the same category, ranked by how often they are opened.
