CrawlForge vs Scrapy
Managed MCP web scraping service versus a self-hosted Python framework. Zero infrastructure versus full control.
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Overview
CrawlForge and Scrapy represent opposite ends of the managed-vs-DIY spectrum. Scrapy is an open-source Python framework that gives you complete control over your scraping pipeline -- you write spiders, manage infrastructure, and handle everything from proxies to storage. CrawlForge is a managed service where you call MCP tools and get structured data back.
Scrapy is battle-tested and extremely flexible. It powers some of the largest web scraping operations in the world. But that power comes with operational burden: you need to deploy, monitor, and maintain your spiders and infrastructure.
CrawlForge eliminates the infrastructure entirely. There are no servers to manage, no spider code to maintain, and no proxy lists to rotate. You call a tool, get your data, and move on. For AI agent workflows, CrawlForge's MCP integration is seamless while Scrapy would need significant wrapping.
Feature Comparison
| Feature | CrawlForge | Scrapy | Winner |
|---|---|---|---|
| Type | Managed SaaS (MCP-native) | Open-source Python framework | |
| Infrastructure | Zero -- fully managed | Self-hosted (servers, proxies, storage) | |
| AI Agent Integration | Direct MCP tool calls | Requires custom MCP server wrapping | |
| Setup Time | Minutes (get API key) | Hours to days (code + deploy) | |
| Customization | 20 configurable tools | Unlimited (write any Python code) | |
| Cost at Scale | Credit-based pricing | Infrastructure costs only (free software) | |
| JavaScript Rendering | Built-in | Requires Splash or Playwright plugin | |
| Middleware/Pipelines | Not applicable | Extensive middleware and pipeline system | |
| Maintenance | Zero -- platform handles updates | Ongoing spider and infra maintenance |
Pricing Comparison
| Tier | CrawlForge | Scrapy |
|---|---|---|
| Free | 1,000 credits | Free (open source) |
| Starter | $19/mo — 5,000 credits | Server costs (~$5-20/mo) |
| Professional | $99/mo — 50,000 credits | Server + proxy costs (~$50-200/mo) |
| Business | $399/mo — 250,000 credits | Server + proxy costs (~$200-1000/mo) |
Why Choose CrawlForge
- Zero infrastructure to deploy, manage, or monitor
- MCP-native for seamless AI agent integration
- Built-in JavaScript rendering and anti-bot measures
- No spider code to write or maintain
- Start scraping in minutes, not days
Where Scrapy Shines
- +Unlimited customization with Python
- +Free open-source software (pay only for infrastructure)
- +Complete control over scraping logic and data pipeline
- +Massive community, plugins, and documentation
- +No vendor lock-in
The Verdict
CrawlForge is ideal for teams who want structured web data without the operational overhead of running scraping infrastructure. If you are building AI agents or need quick access to web data, CrawlForge gets you there in minutes.
Scrapy is the right choice for teams with Python expertise who need maximum control over their scraping pipeline, have niche requirements that general-purpose tools cannot cover, or want to avoid SaaS costs at very high scale. It is the gold standard for self-hosted scraping.
Which one should you pick?
- You do not want to own scraping infrastructure, proxies, or JavaScript-rendering servers.
- You want structured data back from an API call rather than writing spiders, selectors, and pipelines.
- You are wiring web data into AI agents via MCP and want that integration to be first-class.
- Your team is not Python-centric or does not want to maintain Scrapy projects long-term.
- You want to ship a working scraping workflow in minutes rather than days.
- You have a Python team comfortable with Scrapy and want full control over logic, middleware, and pipelines.
- Your scraping needs are extremely custom and poorly served by a fixed tool set.
- You are scraping at a volume where the infra cost is cheaper than any SaaS credit plan.
- You need to run scrapers entirely in your own environment for data residency or compliance.
- You value the no-vendor-lock-in property of open-source more than operational simplicity.
Migration example
Replace a Scrapy spider parse method with a CrawlForge scrape_structured call for quick wins. Keep complex spiders on Scrapy if they already work. (Check Scrapy docs for your specific middleware setup.)
Before — Scrapy
typescript# Before: Scrapy spider
import scrapy
class ExampleSpider(scrapy.Spider):
name = 'example'
start_urls = ['https://example.com']
def parse(self, response):
yield { 'title': response.css('h1::text').get() }After — CrawlForge
typescript// After: CrawlForge
const res = await fetch('https://www.crawlforge.dev/api/v1/tools/scrape_structured', {
method: 'POST',
headers: { Authorization: `Bearer ${process.env.CRAWLFORGE_API_KEY}`, 'Content-Type': 'application/json' },
body: JSON.stringify({ url: 'https://example.com', selectors: { title: 'h1' } }),
});
const { data } = await res.json();Frequently Asked Questions
Is CrawlForge a managed Scrapy?
Not exactly. CrawlForge is a fully managed MCP service with 20 specific tools. Scrapy is an open-source Python framework you run yourself. They solve similar problems (getting structured data from the web) but come at it from opposite ends: one is zero-infra SaaS, the other is a DIY framework.
Can I migrate a Scrapy spider to CrawlForge?
For straightforward spiders (fetch page, follow links, extract fields), yes — map them to a combination of crawl_deep, extract_content, and scrape_structured. Highly custom spiders with complex middleware pipelines will need redesign, not a line-for-line port.
Does CrawlForge render JavaScript like a Scrapy + Playwright setup?
Yes. JavaScript rendering is built into CrawlForge tools like fetch_url and extract_content without extra plugins. In Scrapy you would typically add scrapy-playwright or Splash to get the same capability.
Is CrawlForge cheaper than running Scrapy myself?
At low to medium volume, CrawlForge is almost always cheaper once you include engineering time, servers, and proxies. At very high volume with a dedicated ops team, Scrapy on your own infra can be cheaper per page but more expensive in total cost of ownership.
Can I use Scrapy and CrawlForge together?
Yes. A common pattern is to use Scrapy for bulk systematic crawls you have already tuned, and CrawlForge for on-demand AI-agent scraping, research, and structured extraction where writing a spider is overkill.
Related resources
Getting started
Install CrawlForge MCP and run your first scrape in under a minute.
Browse all 20 tools
See every scraping, extraction, and research tool with credit costs.
Use cases
Lead enrichment, price monitoring, RAG pipelines, and more.
Pricing
Free 1,000 credits, then $19/mo Starter. Compare every plan.
All comparisons
See how CrawlForge stacks up against every major scraping API.
MCP web scraping guide
Why MCP-native scraping outperforms REST for AI agents.
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