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Best Python Libraries for Web Scraping in 2026: BeautifulSoup vs Scrapy vs Playwright
How-ToWeb Development

Best Python Libraries for Web Scraping in 2026: BeautifulSoup vs Scrapy vs Playwright

via Dev.to Tutorialagenthustler2h ago

Choosing the right Python library for web scraping can make or break your project. In 2026, three libraries dominate: BeautifulSoup , Scrapy , and Playwright . Each has distinct strengths. Let's compare them with real code examples. Quick Comparison Table Feature BeautifulSoup Scrapy Playwright Learning Curve Easy Medium Medium JavaScript Rendering No No (without plugins) Yes Speed Medium Fast Slow Built-in Concurrency No Yes Yes Session Management Manual Built-in Built-in Anti-Detection None Middleware Stealth mode Best For Quick scripts Large-scale crawls Dynamic sites BeautifulSoup: The Simple Choice BeautifulSoup is perfect for quick scripts and static HTML parsing. Combined with requests , it's the fastest way to extract data from simple pages. import requests from bs4 import BeautifulSoup def scrape_quotes (): url = " https://quotes.toscrape.com " response = requests . get ( url ) soup = BeautifulSoup ( response . text , " html.parser " ) quotes = [] for div in soup . select ( "

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