Firecrawl and Apify both do the hard part well. They render JavaScript, dodge bot detection, and hand you back clean markdown or structured JSON. If you need a page turned into text, either one will do that job.
But most of the time the point isn't a single page. It's a page you need to check again tomorrow, and the day after, and the day after that: a price, a listing, a status, a set of rows that might quietly change. And that's where the workflow, not the extraction, starts costing you.
Firecrawl bills per credit, and the credit math is not what the pricing page implies. Scrape is 1 credit. Add JSON extraction and Enhanced Mode — both of which you probably want for structured data — and it's 9 credits per page. A $16/mo Hobby plan advertised at 3,000 credits works out closer to 300–500 pages once you're actually extracting fields, not just fetching markdown. Credits also don't roll over, so a quiet month doesn't bank anything for a busy one.
Apify flips the complaint around. Pricing is compute-unit based (RAM × time) plus separate line items for proxy and storage. It's flexible and it scales, but you can't look at a number on the pricing page and know what a job will cost until you've run it. For teams that want a predictable bill, that unpredictability is the whole problem.
Neither tool keeps history by default. You get the current state of the page. If you want yesterday's version to compare against today's, that's on you to build — a database, a diffing script, a place to store snapshots, a way to roll back if a refresh comes back wrong.
Quorel starts from a different question: not "how do I fetch this page," but "how do I keep a page as structured, versioned data over time." You describe the fields you want in plain English. Every refresh (nightly by default, or on demand via a ping URL, webhook, or your own cron) is saved as its own immutable version. Nothing is overwritten. You can diff any two versions to see exactly what changed, and roll back in one click if a refresh comes back bad.
Pricing is flat, not metered. Free tier is one dataset, 20 URLs, full version history included. Pro is $19/mo for 5 datasets and 100 URLs, with on-demand refresh and webhooks. No credit multipliers, no compute-unit math, no surprise bill.
This isn't a claim that Quorel replaces Firecrawl or Apify at everything they do. If you need to fetch an arbitrary one-off page as clean markdown for an LLM right now, Firecrawl is built for exactly that. If you need thousands of site-specific scrapers off a marketplace, Apify's Actor ecosystem has years of head start. Quorel is built for the narrower, recurring job: turning a page you check regularly into a structured, versioned API you can trust and query later.
Every dataset ships with an MCP server on every plan, free included, so an agent can query it directly — or pull the raw rows, fix nulls, and publish a new version itself.
If you've been burned by a scraper that silently broke, or wished you'd kept last week's data to compare against, that's the specific gap Quorel is built to close.
I'm building Quorel — happy to answer questions on versioning, pricing, or how the MCP integration works.
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