Apify vs Scrapy 2026: Which Web Scraping Tool Should You Use?

Contains affiliate links. Disclosure.

Scrapy is the mature Python web crawling framework. Apify is a cloud platform (with Crawlee as its open-source framework) that handles infrastructure, scaling, and storage on top of Node.js.

They're not direct competitors — Scrapy is a code framework, Apify is a full platform — but teams frequently choose between them. This comparison covers where each excels.

Quick Summary

	Scrapy	Apify
Language	Python	Node.js (Crawlee)
Type	Framework	Cloud platform + open-source framework
Setup	Local install	Managed cloud, CLI
JavaScript rendering	Via middleware	Native (PlaywrightCrawler)
Proxy rotation	Manual config	Built-in
Storage	Manual (CSV, DB)	Built-in Dataset, KV store
Scheduling	External (cron)	Built-in scheduler
Scaling	Self-managed	Managed
Pricing	Free	Free tier + usage
Learning curve	Medium	Low–medium

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Scrapy: Strengths

1. Python ecosystem. If your team is Python-first, Scrapy integrates directly with pandas, SQLAlchemy, Celery, and the entire Python data stack.

2. Mature and battle-tested. Scrapy has been in production since 2008. There are thousands of community spiders, extensions, and middleware packages.

3. Full control. Every request pipeline stage is configurable — item pipelines, downloader middleware, spider middleware. Nothing is hidden.

4. Free and self-hostable. Zero licensing cost. Deploy on any VM.

import scrapy

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

    def parse(self, response):
        for book in response.css("article.product_pod"):
            yield {
                "title": book.css("h3 a::attr(title)").get(),
                "price": book.css(".price_color::text").get(),
                "rating": book.css(".star-rating::attr(class)").get().split()[-1],
            }
        
        next_page = response.css("li.next a::attr(href)").get()
        if next_page:
            yield response.follow(next_page, self.parse)

Scrapy + Playwright:

pip install scrapy-playwright
playwright install chromium

class JsSpider(scrapy.Spider):
    name = "js_page"
    
    def start_requests(self):
        yield scrapy.Request("https://spa.example.com", meta={"playwright": True})
    
    def parse(self, response):
        yield {"content": response.css(".data::text").get()}

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Apify (Crawlee): Strengths

1. JavaScript rendering out of the box. PlaywrightCrawler handles SPAs, dynamic content, and login flows with no middleware configuration.

2. Built-in infrastructure. Proxy rotation, request deduplication, persistent queue, dataset storage, scheduling — all available with zero boilerplate.

3. Cloud deployment in one command. apify push deploys your scraper to managed infrastructure with auto-scaling, monitoring, and logs.

4. No-code options. 70,000+ pre-built Actors in the Apify Store cover Amazon, Instagram, LinkedIn, Google Maps, and more — without writing code.

import { CheerioCrawler } from 'crawlee';
import { Actor } from 'apify';

await Actor.init();

const crawler = new CheerioCrawler({
  async requestHandler({ $, enqueueLinks }) {
    const products = [];
    $("article.product_pod").each((_, el) => {
      products.push({
        title: $(el).find("h3 a").attr("title"),
        price: $(el).find(".price_color").text(),
      });
    });
    await Actor.pushData(products);
    await enqueueLinks({ selector: "li.next a" });
  },
});

await crawler.run(["https://books.toscrape.com/"]);
await Actor.exit();

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Head-to-Head: Key Scenarios

Scenario 1: Python data science team

Winner: Scrapy. Python is already in the stack. Scrapy items flow directly into pandas DataFrames or SQLAlchemy inserts.

Scenario 2: Dynamic SPA with login

Winner: Apify/Crawlee. PlaywrightCrawler with useSessionPool: true handles this cleanly. Scrapy needs scrapy-playwright middleware and more configuration.

Scenario 3: Large-scale cloud deployment

Winner: Apify. Managed proxies, auto-scaling, and built-in storage make production deployment straightforward. Scrapy requires a Scrapy Cloud subscription (paid) or custom infrastructure.

Scenario 4: Quick scrape of a single site

Winner: Scrapy (Python) or Crawlee (JS) — both fine. Neither has a clear edge for a single-site project.

Scenario 5: No-code/low-code business users

Winner: Apify. The Apify Store's pre-built Actors cover most common targets. Scrapy is code-only.

Scenario 6: GDPR/compliance-strict environment

Winner: Self-hosted Scrapy. Full control over where data goes. Apify stores data on Apify's servers (EU storage available, but external).

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Pricing Comparison

	Scrapy	Apify
Framework	Free	Free (Crawlee)
Cloud hosting	Zyte (formerly Scrapy Cloud): from $25/month	Apify cloud: $5/month free, then $19/month
Storage	Your own database	Included in Apify
Proxy	Your cost	Apify Proxy included

Pricing verified October 2026. Plans change frequently — check the vendor’s official pricing page for current rates.

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Decision Framework

Use Scrapy if:

• Your team is Python-only
• You need deep integration with Python data tools
• You're self-hosting on your own infrastructure
• You want maximum control over every request pipeline step

Use Apify if:

• Your project is JavaScript-heavy
• You want cloud deployment without managing servers
• You need scheduling, storage, and proxy rotation out of the box
• You want to reuse pre-built Actors for common targets
• You're building on Node.js / the Crawlee framework

Start with Apify for free → | Scrapy documentation →