requests vs. Scrapy vs. Playwright: Choosing the Right Python Scraping Tool

Python has three tools that dominate most scraping projects, and they solve different problems. Picking the wrong one for your project is one of the most common reasons scraping tasks feel harder than they should. Here's how they actually differ.

requests: the simplest option

requests is just an HTTP client — it fetches a URL and gives you the raw response. Pair it with BeautifulSoup for parsing, and you have a complete, lightweight scraper for static pages.

import requests
resp = requests.get("https://example.com")

Strengths: minimal setup, fast, low memory use, easy to understand and debug. Limitations: no JavaScript execution, no built-in crawling logic (you write your own loops for pagination and following links), no concurrency handling out of the box.

Use requests when you're scraping a handful of static pages or calling a known JSON API directly.

Scrapy: built for crawling at scale

Scrapy is a full framework, not just a library — it handles concurrent requests, retries, request queuing, and data pipelines (for exporting to CSV, JSON, or a database) out of the box.

import scrapy

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

    def parse(self, response):
        for card in response.css(".product-card"):
            yield {
                "title": card.css(".title::text").get(),
                "price": card.css(".price::text").get(),
            }
        next_page = response.css("a.next::attr(href)").get()
        if next_page:
            yield response.follow(next_page, self.parse)

Strengths: built-in concurrency, automatic retry/backoff, middleware for things like proxy rotation and custom headers, structured output pipelines. Limitations: steeper learning curve than requests, still no native JavaScript rendering (you'd pair it with a rendering middleware or headless browser for that), more setup overhead for small one-off tasks.

Use Scrapy when you're crawling many pages across a site — not just fetching a fixed list of URLs — and need the crawl itself managed for you.

Playwright: for JavaScript-rendered pages

Playwright drives a real (headless) browser, so it executes JavaScript exactly as a visitor's browser would.

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/app")
    page.wait_for_selector(".results")
    content = page.content()
    browser.close()

Strengths: handles any site regardless of how it renders, can interact with the page (click, scroll, fill forms), captures content that only appears after client-side JavaScript runs. Limitations: much slower and heavier per request than requests or Scrapy, harder to scale (each browser instance uses significant memory), more moving parts to maintain.

Use Playwright when a site's data genuinely doesn't exist until JavaScript runs — see our guide on static vs. dynamic scraping for how to check this before committing to browser automation.

Combining them

These tools aren't mutually exclusive. A common pattern is Scrapy for the crawling and queue management, with a Playwright-rendered response plugged in only for the specific pages that need JavaScript — using the lighter, faster tool everywhere else.

Skipping the tooling decision

All three of these require you to build, host, and maintain the scraping infrastructure yourself — proxy handling, retries, and blocking are still your problem regardless of which library you pick. For Google search results specifically, a scraping API like PrismCrawl sits above this layer entirely: you send a search query, it handles rendering, retries, and proxy rotation internally, and returns clean JSON — with no framework choice to make on your end.

Frequently asked questions

Is Scrapy faster than requests?

Scrapy is faster for multi-page crawls because it handles concurrency automatically, but for a single request, plain requests has less overhead.

Can Scrapy render JavaScript?

Not natively — you'd need to add a middleware like scrapy-playwright to get JavaScript rendering inside a Scrapy crawl.

Which tool should a beginner start with?

requests with BeautifulSoup, covered in our beginner's guide to Python web scraping — it's the simplest to understand before moving to a framework like Scrapy or a browser tool like Playwright.