Scrapy vs Crawlee 2026: Python vs Node.js Scraping Frameworks

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Scrapy vs Crawlee 2026: Python vs Node.js Scraping Frameworks

Scrapy and Crawlee are the two leading open-source web scraping frameworks, each dominating their respective language ecosystems. Scrapy is the undisputed king of Python scraping, while Crawlee (by Apify) has become the standard for Node.js. Both are production-ready, actively maintained, and capable of handling large-scale scraping.

This comparison helps you choose based on your language preference, technical requirements, and use case.

Quick Comparison

FeatureScrapyCrawlee
LanguagePythonJavaScript/TypeScript
CreatorZyte (Scrapinghub)Apify
First Release20082022 (successor to Apify SDK)
ArchitectureSpider-basedCrawler class-based
HTTP CrawlingBuilt-inBuilt-in (CheerioCrawler)
Browser CrawlingVia pluginsBuilt-in (PlaywrightCrawler)
Proxy RotationVia middlewareBuilt-in (ProxyConfiguration)
Anti-BotVia pluginsBuilt-in fingerprinting
Cloud PlatformZyte (paid)Apify (paid)
LicenseBSDApache 2.0

Architecture

Scrapy

Scrapy uses a spider-based architecture with a well-defined pipeline:

  1. Spiders generate initial requests and parse responses
  2. Downloader middleware processes requests (proxies, headers, retries)
  3. Spider middleware processes responses before spiders see them
  4. Item pipeline processes extracted data (validation, storage)
  5. Feed exports output data to files or databases

This architecture separates concerns cleanly and makes large projects maintainable.

Crawlee

Crawlee uses a crawler class-based architecture:

  1. Crawler classes (Cheerio, Puppeteer, Playwright) handle requests
  2. Request handlers process each URL and extract data
  3. Request queue manages URLs to be crawled
  4. Dataset stores extracted results
  5. ProxyConfiguration manages proxy rotation

Crawlee is more flexible about mixing HTTP and browser crawling within the same project.

Feature Comparison

HTTP Crawling

Scrapy: Built-in HTTP crawling with Twisted async engine. Extremely fast and efficient. Handles thousands of concurrent requests.

Crawlee: CheerioCrawler for HTTP crawling using Cheerio (jQuery-like) for parsing. Fast and memory-efficient.

Winner: Tie — both handle HTTP crawling excellently.

Browser Crawling

Scrapy: No built-in browser support. Requires scrapy-playwright or scrapy-splash plugins. Integration works but adds complexity.

Crawlee: First-class browser support with PlaywrightCrawler and PuppeteerCrawler. Switch between HTTP and browser crawling by changing the crawler class.

Winner: Crawlee — browser crawling is a first-class feature.

Proxy Management

Scrapy: Proxy rotation via custom middleware or third-party packages (scrapy-rotating-proxies). Configuration requires understanding the middleware system.

Crawlee: Built-in ProxyConfiguration with automatic rotation, health checking, and tiered proxy strategies. Also integrates directly with Apify’s proxy network.

Winner: Crawlee — proxy management is simpler and more robust out of the box.

Anti-Bot Features

Scrapy: No built-in anti-bot features. Relies on middleware for user-agent rotation, custom headers, and delay management.

Crawlee: Built-in browser fingerprint randomization, session management, and anti-bot features when using browser crawlers. Includes automatic retry with session rotation on failures.

Winner: Crawlee — anti-bot features are built into the framework.

Data Storage

Scrapy: Feed exports to JSON, CSV, XML, and custom backends. Integration with databases via item pipelines.

Crawlee: Built-in Dataset for structured storage with push/export capabilities. Key-value store for additional data. Seamless export to Apify platform storage.

Winner: Tie — both handle data storage well with different approaches.

Scaling

Scrapy: Scales well on a single machine. Distributed crawling via scrapy-redis for multi-machine setups. Zyte (formerly Scrapinghub) offers cloud deployment.

Crawlee: Auto-scaling within a single machine. Deploys to Apify cloud for managed scaling. Can run on any Node.js hosting.

Winner: Scrapy for distributed multi-machine setups. Crawlee for managed cloud deployment.

Code Comparison

Scrapy Spider

import scrapy

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

    def parse(self, response):
        for product in response.css(".product-card"):
            yield {
                "name": product.css("h2::text").get(),
                "price": product.css(".price::text").get(),
                "url": product.css("a::attr(href)").get(),
            }
        next_page = response.css("a.next::attr(href)").get()
        if next_page:
            yield response.follow(next_page, self.parse)

Crawlee Crawler

import { CheerioCrawler } from 'crawlee';

const crawler = new CheerioCrawler({
    async requestHandler({ request, $, enqueueLinks }) {
        const products = [];
        $('.product-card').each((i, el) => {
            products.push({
                name: $(el).find('h2').text(),
                price: $(el).find('.price').text(),
                url: $(el).find('a').attr('href'),
            });
        });
        await Dataset.pushData(products);
        await enqueueLinks({ selector: 'a.next' });
    },
});

await crawler.run(['https://example.com/products']);

Key Differences

Scrapy’s code is more structured with clear separation between spider logic and configuration. Crawlee’s code is more concise and self-contained. Both are readable and maintainable.

Ecosystem and Community

Scrapy

  • 16+ years of community content
  • 47K+ GitHub stars
  • Extensive Stack Overflow coverage
  • Large plugin ecosystem (scrapy-playwright, scrapy-splash, scrapy-redis)
  • Zyte (Scrapinghub) commercial support
  • Multiple books and courses available

Crawlee

  • Growing rapidly since 2022 launch
  • 17K+ GitHub stars
  • Good official documentation
  • Tight integration with Apify ecosystem
  • Active Discord community
  • Fewer third-party resources (newer)

Winner: Scrapy for community size and learning resources. Crawlee for modern documentation.

Performance

MetricScrapyCrawlee (Cheerio)
HTTP requests/sec~500+~400+
Memory per 1000 URLs~200MB~180MB
Startup time~1s~0.5s
Browser crawl (per page)3-5s (via plugin)2-4s (native)

Winner: Similar HTTP performance. Crawlee slightly more efficient for browser crawling.

Pricing

Both frameworks are free and open source. Costs depend on infrastructure:

DeploymentScrapyCrawlee
Self-hostedFreeFree
Zyte CloudStarting ~$150/monthN/A
Apify CloudN/AStarting $49/month
Generic VPS$5-50/month$5-50/month

For proxy costs with either framework, see our proxy provider comparisons.

Pros and Cons

Scrapy

Pros: Largest community, proven at massive scale, excellent middleware system, distributed crawling, extensive plugins, Python ecosystem

Cons: No built-in browser support, complex middleware for proxies, steeper learning curve, no built-in anti-bot

Crawlee

Pros: Built-in browser support, native proxy management, anti-bot features, modern API, TypeScript support, Apify integration

Cons: Smaller community, JavaScript/TypeScript only, newer (less battle-tested), fewer distributed crawling options

Who Should Choose What

Choose Scrapy If:

  • Your team works in Python
  • You are building large-scale production scrapers
  • You need distributed crawling across multiple machines
  • You want the largest community and most learning resources
  • You prefer a mature, battle-tested framework

Choose Crawlee If:

  • Your team works in JavaScript/TypeScript
  • You need built-in browser crawling (Playwright/Puppeteer)
  • You want built-in proxy management and anti-bot features
  • You plan to deploy on Apify’s cloud platform
  • You prefer a modern API with less boilerplate

Verdict

The choice between Scrapy and Crawlee is primarily a language decision. If your team uses Python, Scrapy is the clear choice. If your team uses JavaScript/TypeScript, Crawlee is the obvious pick.

Where it gets interesting is for teams comfortable with both languages. In that case, Crawlee offers a more modern developer experience with built-in browser support, proxy management, and anti-bot features. Scrapy offers proven reliability at massive scale with a richer plugin ecosystem.

For most new scraping projects in 2026, the recommendation is:

  • Python teams: Scrapy (with scrapy-playwright for JS rendering)
  • JavaScript teams: Crawlee
  • Mixed teams: Evaluate based on browser crawling needs (Crawlee is stronger) vs scale requirements (Scrapy is stronger)

Pair either framework with quality proxies from our proxy provider comparisons and web scraping proxy guides.

Frequently Asked Questions

Can Scrapy handle JavaScript pages?

Not natively. You need the scrapy-playwright or scrapy-splash plugins to render JavaScript. Crawlee handles JavaScript natively through PlaywrightCrawler.

Is Crawlee the same as the Apify SDK?

Crawlee is the successor to the Apify SDK, rebranded and open-sourced as a standalone framework. It can be used independently of the Apify platform.

Which is faster for HTTP crawling?

Both are very fast for HTTP crawling, handling hundreds of requests per second. Scrapy has a slight edge in raw throughput for pure HTTP crawling due to Twisted’s async engine.

Can I use either framework with residential proxies?

Yes. Both support proxy rotation. Crawlee has built-in ProxyConfiguration, while Scrapy uses middleware for proxy rotation. See our proxy setup guides for configuration details.

Which has better anti-bot capabilities?

Crawlee, when using PlaywrightCrawler, includes built-in fingerprint randomization and session management. Scrapy requires third-party solutions for anti-bot capabilities.

Last updated: March 2026. For more proxy reviews and comparisons, visit our proxy provider comparisons hub.

Frequently Asked Questions

Should I learn Scrapy or Crawlee in 2026?

If you work primarily in Python, learn Scrapy. If you work in JavaScript/TypeScript, learn Crawlee. Both are excellent choices for their respective ecosystems. If you are language-agnostic, consider whether your targets require browser rendering (favoring Crawlee) or massive scale (favoring Scrapy).

Can Scrapy handle JavaScript rendering?

Yes, through plugins like scrapy-playwright and scrapy-selenium. However, browser rendering is not native to Scrapy and adds complexity and resource requirements. If most of your targets require JavaScript rendering, Crawlee provides a more seamless experience.

Is Crawlee production-ready?

Yes. Crawlee evolved from the Apify SDK which has been used in production for years. The framework is stable, well-documented, and powers thousands of production scrapers on Apify Cloud. For self-hosted deployments, ensure you have proper error handling, monitoring, and restart mechanisms.

For proxy integration with both frameworks, see our web scraping proxy guides.

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