Scrape LinkedIn Job Listings with Phantombuster & Save to Google Sheets

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.