How To Scrape ANY Website For Jobs Data In 6 Minutes (Seriously)

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In this video, I show you how to scrape job data from websites using Make.com. This system leverages AI to extract job listings from job board pages, transforming HTML data into highly optimized job listing entries.

Key components include:

== Google Sheets for managing job board URLs
== OpenAI for processing HTML content and extracting relevant job details == HTTP module for fetching web pages
== Text Parser for converting HTML to readable text
== Iterator for processing multiple job URLs

I guide you through setting up the Job Board Data Scraper scenario step-by-step:

== Prepping a Google Sheet with job board URLs as input
== Using Make.com to search and extract the URLs
== HTTP module to retrieve job data from each job listing page
== OpenAI for generating structured job details (title, company, location, salary, description)
== Text Parser to clean up the HTML content
== Adding the extracted data to Google Sheets

With this AI-powered system, you can automate your job search process efficiently. I share real examples and provide bonus tips to help you maximize your automation setup.

If you want to automate your job data collection with ease while maintaining accuracy, this tutorial is for you. Let me know if you have any questions!

Видео How To Scrape ANY Website For Jobs Data In 6 Minutes (Seriously) канала Jake Dawson