DEV Community

Alex Spinov
Alex Spinov

Posted on

Scrapy vs Playwright vs Crawlee — Which Web Scraping Tool Should You Use in 2026?

#python #tutorial #webdev #programming

Choosing a web scraping tool in 2026 is confusing. There are dozens of options, each claiming to be the best.

I've built 77 production scrapers over the last year. Here's the honest breakdown.

The Quick Answer

Your Situation Use This
Quick one-off scrape BeautifulSoup + requests
Production crawler (100K+ pages) Scrapy
JavaScript-heavy sites (SPAs) Playwright
Modern async scraping Crawlee (Python or JS)
Need it yesterday, no code Apify Store
Data available via API Don't scrape — use the API

BeautifulSoup: The Gateway Drug

Best for: Quick scripts, learning, simple pages

import requests
from bs4 import BeautifulSoup

html = requests.get("https://example.com").text
soup = BeautifulSoup(html, "html.parser")
titles = [h2.text for h2 in soup.find_all("h2")]
Enter fullscreen mode Exit fullscreen mode

Pros: Dead simple. Handles broken HTML. Everyone knows it.

Cons: No async. No JavaScript rendering. No rate limiting. You'll write the same boilerplate for every project.

Scrapy: The Industrial Scraper

Best for: Large-scale production crawling

import scrapy

class MySpider(scrapy.Spider):
    name = "my_spider"
    start_urls = ["https://example.com"]

    def parse(self, response):
        for item in response.css(".product"):
            yield {
                "title": item.css("h2::text").get(),
                "price": item.css(".price::text").get()
            }
Enter fullscreen mode Exit fullscreen mode

Pros: Built-in everything — rate limiting, retries, export, middlewares, pipelines. Battle-tested at scale.

Cons: Steep learning curve. Twisted async (not asyncio). Overkill for simple tasks.

Playwright: The Browser Whisperer

Best for: JavaScript-rendered pages, SPAs, sites with anti-bot detection

from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page()
    page.goto("https://example.com")
    content = page.content()  # fully rendered HTML
    browser.close()
Enter fullscreen mode Exit fullscreen mode

Pros: Best anti-detection of any browser tool. Supports Chromium + Firefox + WebKit. Auto-wait for elements.

Cons: Slow (it's running a real browser). Resource-heavy. Don't use it if you don't need JavaScript rendering.

Crawlee: The Modern Choice

Best for: Teams that want one framework for everything

Crawlee (by Apify) combines HTTP crawling and browser crawling in one framework:

from crawlee.beautifulsoup_crawler import BeautifulSoupCrawler

crawler = BeautifulSoupCrawler()

@crawler.router.default_handler
async def handler(context):
    data = {"title": context.soup.find("h1").text}
    await context.push_data(data)

await crawler.run(["https://example.com"])
Enter fullscreen mode Exit fullscreen mode

Pros: Modern asyncio. Switch between HTTP and browser crawling. Built-in request queue and storage.

Cons: Newer ecosystem. Fewer tutorials than Scrapy.

When NOT to Scrape

Before writing a scraper, check if an API exists:

  • Reddit: Add .json to any URL → structured data
  • YouTube: Innertube API → comments, transcripts, no quota
  • GitHub: REST API → 60 req/hr without auth
  • npm/PyPI: Registry API → package metadata
  • Wikipedia: REST API → articles, summaries

I maintain a list of 300+ free APIs that need no API key.

The Full Picture

I maintain an Awesome Web Scraping 2026 list with 80+ tools across Python, JavaScript, Go, Ruby, Rust, and PHP — plus proxies, anti-detection tools, CAPTCHA solvers, and cloud platforms.

It includes comparison tables for all the tools mentioned here.

What's your go-to scraping tool? Have you tried Crawlee yet? Drop a comment — I'm curious what's working for others.

Top comments (0)