Scraping dynamic pages with Python, Playwright and AWS Lambda
The article discusses how to scrape dynamic web pages using Python, Playwright, and AWS Lambda. It focuses on a practical example involving the Dev IT Jobs portal, highlighting the challenges of extracting data from modern job boards. The author provides a detailed walkthrough of setting up a serverless scraper that efficiently handles dynamic content loading.
- ▪Scraping dynamic pages often requires handling JavaScript-rendered content that loads in chunks.
- ▪The article outlines a method using Playwright and AWS Lambda to extract job listings from a job board.
- ▪Key components of the setup include using headless Chromium, managing temporary files, and ensuring efficient data storage in S3.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2960141) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Łukasz Żmudziński Posted on May 17 • Originally published at zmudzinski.me Scraping dynamic pages with Python, Playwright and AWS Lambda #data #python #scraping #aws If you have ever pointed BeautifulSoup at a modern job board and then wondered why you got only a fraction of the visible listings, welcome to the club. Many of these pages behave like mini frontends: data appears in chunks, the DOM keeps changing, and scrolling is effectively part of the API contract.
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