Automate LinkedIn Job Listing Scraping and Storage in Google Sheets
This workflow automates the process of scraping LinkedIn job postings for specified companies using Phantombuster and organizes the data into Google Sheets every Monday morning. It streamlines job market research and competitive analysis by providing structured job data without manual intervention.
The workflow is designed to run automatically at 9:00 AM every Monday. It begins by reading a list of companies from a Google Sheet, filtering those marked as 'Pending'. It then triggers a Phantombuster agent to scrape LinkedIn job listings for these companies. After waiting for the scraping process to complete, it retrieves the data, formats it into predefined fields, and appends it to a results sheet in Google Sheets. This process helps HR and recruitment teams efficiently track and analyze jo
- Platform
- n8n
- Category
- HR & Operations
- Price
- $9.99
- Creator
- Marco Bianchi
- set
- wait
- stickyNote
- httpRequest
- googleSheets
- scheduleTrigger
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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