Alternatives
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01Quick answer
CrawlForge is a managed, MCP-native service whose 31 web tools AI agents call directly at a flat 1-10 credits per call; Scrapy is an open-source Python framework you deploy and maintain yourself. Pick CrawlForge when you want structured web data in minutes with no spiders, servers, or proxy rotation to run. Pick Scrapy when you have Python expertise and want complete control over the pipeline, or are avoiding SaaS costs at very high scale.
02Context
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.
03Scoreboard
Feature Comparison
CrawlForge wins
Tie
Competitor wins
- TypeTie
- CrawlForge
- Managed SaaS (MCP-native)
- Scrapy
- Open-source Python framework
- InfrastructureCrawlForge wins
- CrawlForge
- Zero -- fully managed
- Scrapy
- Self-hosted (servers, proxies, storage)
- AI Agent IntegrationCrawlForge wins
- CrawlForge
- Direct MCP tool calls
- Scrapy
- Requires custom MCP server wrapping
- Setup TimeCrawlForge wins
- CrawlForge
- Minutes (get API key)
- Scrapy
- Hours to days (code + deploy)
- CustomizationCompetitor wins
- CrawlForge
- 31 configurable tools
- Scrapy
- Unlimited (write any Python code)
- Cost at ScaleCompetitor wins
- CrawlForge
- Credit-based pricing
- Scrapy
- Infrastructure costs only (free software)
- JavaScript RenderingCrawlForge wins
- CrawlForge
- Built-in
- Scrapy
- Requires Splash or Playwright plugin
- Middleware/PipelinesCompetitor wins
- CrawlForge
- Not applicable
- Scrapy
- Extensive middleware and pipeline system
- MaintenanceCrawlForge wins
- CrawlForge
- Zero -- platform handles updates
- Scrapy
- Ongoing spider and infra maintenance
04The numbers
Pricing Comparison
Free
CrawlForge1,000 credits
ScrapyFree (open source)
Starter
CrawlForge$19/mo — 5,000 credits
ScrapyServer costs (~$5-20/mo)
Professional
CrawlForge$99/mo — 100,000 credits
ScrapyServer + proxy costs (~$50-200/mo)
Business
CrawlForge$399/mo — 500,000 credits
ScrapyServer + proxy costs (~$200-1000/mo)
05Trade-offs
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
06Verdict
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.
07Decision
Which one should you pick?
Pick CrawlForge when
- 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.
Pick Scrapy when
- 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.
08Migration
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 spiderimport scrapy class ExampleSpider(scrapy.Spider): name = 'example' start_urls = ['https://example.com'] def parse(self, response): yield { 'title': response.css('h1::text').get() }// After: CrawlForgeconst 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();09Questions
Frequently Asked Questions
01Is CrawlForge a managed Scrapy?
Not exactly. CrawlForge is a fully managed MCP service with 31 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.
02Can 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.
03Does 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.
04Is 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.
05Can 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.
10Resources
Related resources
Getting started
Install CrawlForge MCP and run your first scrape in under a minute.
Browse all 31 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.
Start forging
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