
How to Scrape LinkedIn Learning for Course Trend Analysis
LinkedIn Learning hosts thousands of professional courses — tracking which topics trend over time reveals workforce skill shifts before they hit job postings. Here's how to build a course trend analyzer. Why Track LinkedIn Learning Trends? When a new course category explodes on LinkedIn Learning, hiring managers follow 3-6 months later. Tracking course releases and popularity gives you a leading indicator for tech hiring trends. Setting Up the Scraper We'll use Python with requests and BeautifulSoup to extract course metadata from LinkedIn Learning's public catalog pages. import requests from bs4 import BeautifulSoup import pandas as pd from datetime import datetime API_KEY = " YOUR_SCRAPERAPI_KEY " # Get one at https://www.scraperapi.com?fp_ref=the52 def scrape_linkedin_learning ( category , page = 1 ): url = f " https://www.linkedin.com/learning/search?keywords= { category } &page= { page } " proxy_url = f " http://api.scraperapi.com?api_key= { API_KEY } &url= { url } &render=true "
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