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How Much Does a Web Scraping API Cost? 2026 Pricing Compared

Web scraping API pricing compared for 2026: entry plans run $16 to $69 a month, but protected pages, expiring credits and the hidden cleaning stage decide what you actually pay. Real numbers from eight tools.

By the ClawEngine team

July 2026 · 8 min read

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How much does a web scraping API cost?

Most web scraping APIs start between $16 and $69 a month for entry plans, and a real production pipeline usually lands somewhere between $100 and $500 a month. Firecrawl starts at $16, ClawEngine at $39, ScraperAPI and ScrapingBee at $49, and ZenRows at $69. Usage-priced platforms like Bright Data bill per record instead, roughly $0.75 to $3 per 1,000 records depending on the product and tier. Those are the sticker prices. What you actually pay depends on three things the pricing page does not tell you, and they can move the bill by a factor of five.

Entry plan prices, side by side

Every figure below is the vendor's published US list price, checked in July 2026. Vendors change plans often, so confirm before you buy.

Tool Entry plan What you get Pricing model
Firecrawl$16/moHobby tier, 1,000 free credits to trialCredits per page
Apify$29/moStarter, plus per-actor usage on topPlatform plan plus usage
ClawEngine$39/moHobby, crawl and render and typed extraction in one callUsage-based plan
ScraperAPI$49/moHobby, 100,000 API creditsCredits per request
ScrapingBee$49/moFreelance, Google Search API bundledCredits per request
ZenRows$69/moDeveloper, anti-bot bypass includedCredits, protected costs more
Bright DataUsage-basedNo monthly minimum on pay-as-you-goRoughly $0.75 to $3 per 1,000 records
Crawl4AI$0Open source, you run the infrastructureFree license, your servers

Read that table and the obvious conclusion is that Firecrawl is cheap and ZenRows is expensive. That conclusion is wrong often enough to be dangerous, because per-page cost is not a constant. It depends on what kind of page you ask for.

The three things that actually decide your bill

1. Protected pages cost several times more

Every vendor charges more for pages that fight back. On Firecrawl, stealth mode bills 5 credits per page instead of 1, which turns a Standard-plan page from about $0.00083 into roughly $0.0042. ZenRows separates plain results from protected results in its plan limits for the same reason. Bright Data's premium products are priced above its basic ones.

So the real question is not "what does a page cost" but "what fraction of my target list is defended". Documentation sites, blogs, knowledge bases, help centers and most public marketing pages are not. Marketplaces, travel sites, ticketing and social platforms usually are. Two teams on identical plans can pay wildly different amounts because one crawls docs and the other crawls storefronts.

2. Credits usually expire at the end of the month

Most credit-based plans, including Firecrawl's, do not roll unused credits into the next month. If your crawling is spiky (a big backfill in week one, a trickle after) you have to size the plan for the peak and then throw away the trough. Over a year, that waste is frequently larger than the difference between two vendors' headline prices, and nobody models it before signing up.

3. The cleaning stage is a hidden line item

This is the big one, and it never appears on an invoice.

A proxy-first API like ScraperAPI or ScrapingBee returns HTML. HTML is not data. Before an LLM can use it, someone on your team has to strip the navigation, ads, cookie banners and scripts, write selectors for the fields that matter, handle the pages where the markup is different, and then keep all of it working as target sites ship redesigns. That is a recurring engineering cost measured in days per month, and at a loaded engineering rate it dwarfs the difference between a $49 plan and a $99 one.

It is the same trap teams fall into with any usage-priced infrastructure, which is why the ones who watch their cloud and SaaS spend closely tend to count engineering hours in the total, not just the invoice. The cheapest tool that creates a permanent maintenance job is not cheap.

A worked example: 50,000 pages a month

Say you are building a RAG app over public documentation and you need to crawl 50,000 pages a month. The pages are not defended, and you want clean text you can chunk and embed.

  • Proxy-first route. A $49 plan covers the fetches comfortably. Then you build a parsing and cleaning layer. Call it two engineering weeks up front and a day or two a month in maintenance. The invoice says $49. The real cost is closer to $2,000 in the first month and several hundred dollars a month after.
  • LLM-ready route. A plan in the $39 to $99 range returns clean markdown or typed JSON directly. There is no parsing layer, so there is nothing to maintain when a site changes. The invoice and the real cost are close to the same number.
  • Open-source route. Crawl4AI is free to license. You now run headless browsers, proxy rotation and retries yourself. If you already have a platform team with spare capacity, this can genuinely be the cheapest option. If you do not, you have hired a part-time infrastructure job for free software.

The pattern is consistent: the fetch is the cheap part, and everyone prices the cheap part. The expensive part is turning a page into something a model can use, and that cost is either in your bill or in your sprint.

What is the cheapest web scraping API?

Crawl4AI is the cheapest to license, at zero, because it is open source. Among managed APIs, Firecrawl has the lowest entry price at $16 a month. But the cheapest tool for your pipeline is the one with the lowest total cost, which is the plan price plus the credits you waste plus the engineering time you spend cleaning the output. For teams feeding an LLM, that usually points at an API that returns markdown or typed JSON rather than the one with the smallest number on the pricing page.

Is a free web scraping API worth it?

Free tiers are fine for evaluating a tool and almost never sufficient for a production pipeline. Firecrawl's 1,000 free credits and ScrapingBee's 1,000 free API calls will tell you whether the output shape works for you, which is exactly what they are for. They will not survive a backfill. Free trials run out on the first real crawl, and open-source is free to license but not free to run. Budget for the paid plan from day one and use the free credits to choose correctly rather than to save money.

How to size your plan without overpaying

  1. Count your pages honestly. Not the pages you might want one day, the pages you will crawl this month, plus the recrawl frequency. Content that changes weekly costs four times as much as content you crawl once.
  2. Classify your targets. Split the list into defended and undefended. If almost nothing is defended, do not buy an anti-bot specialist, because you are paying a premium for a capability your crawl never uses.
  3. Price the output, not the fetch. If the data feeds an LLM, add the cost of the cleaning stage to any tool that returns raw HTML. That single line usually reorders the whole comparison.
  4. Start one tier below your estimate. Usage-based overage on a smaller plan is cheaper than a year of unused credits on a bigger one.

What ClawEngine costs, and why

ClawEngine is $39 a month on Hobby, $99 on Startup, $399 on Scale, and custom on Enterprise, all usage-based with no free plan. Crawl, JavaScript rendering and typed schema extraction happen in the same call, so there is no separate cleaning stage to staff and no parsing layer to repair when a target site changes. That is the whole pricing argument: we are not the smallest number on a pricing page, we are the number that does not have a second, invisible number behind it.

If you want the full field, including where other tools beat us, read the best web scraping API buyer's guide. If you are weighing a specific vendor, the Firecrawl alternatives and Bright Data alternatives breakdowns go vendor by vendor. And if you are still deciding whether to buy at all, the buy versus build cost breakdown does that math. Or see the plans directly.

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