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How to Scrape LinkedIn Jobs In 8 Minutes Or Less (Seriously)
In this video, I show you how to automate scraping LinkedIn job postings using Apify and Make.com. This system leverages AI to extract job listings and organize them in Google Sheets, transforming manual job searches into automated, organized databases.
Key components include:
== Apify for scraping LinkedIn job postings
== Make.com for automating data flow and organization
== Google Sheets for storing and organizing scraped job data
== Dynamic variables for flexible job title and location searches
I guide you through setting up the automation step-by-step:
== Apify for inputting job search parameters like job title and location
== Make.com for automating the scraping workflow and connecting tools
== JSON configuration for dynamically updating search criteria
== Google Sheets for organizing job titles, companies, locations, and application links
== Scheduling automation to run daily or weekly for continuous updates
With this AI-powered system, you can automate job scraping and data organization efficiently. I share real examples and provide bonus tips to help you maximize your automation setup.
If you want to automate your job searches or build a job board effortlessly, this tutorial is for you. Let me know if you have any questions!