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World desk4 min

How ScrapingBee, Firecrawl, and BuiltWith Compare—and Why One API Is Still Unclear

ScrapingBee, Firecrawl, and BuiltWith serve different web-data tasks. Here’s how their documented workflows and usage units differ—and why the unnamed fourth API prevents a full four-way comparison.
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There isn’t enough information to make this a complete four-way comparison: “This API” does not identify a service. The evidence supports comparing ScrapingBee, Firecrawl, and BuiltWith, whose products address different web-data tasks. Choose among them by the workflow and output you need—not by treating their credits as equivalent or assuming a performance winner.

Why this is not yet a four-way comparison

The title names three identifiable services but leaves “This API” unresolved. Without the fourth provider’s name, its documentation, and the specific API being compared, any four-way verdict would require guessing. The comparison below therefore covers the three named services only; it cannot establish how an unnamed API performs or where it fits.

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What each service is for

Service Documented role Best-fit question
ScrapingBee A URL-oriented HTML API with JavaScript rendering, proxy choices, and selector- or AI-based extraction. Do you want to request a page and configure how it is rendered or extracted?
Firecrawl A set of web-data workflows that includes scrape, search, map, crawl, batch scraping, and structured extraction examples. Do you need discovery or crawling workflows in addition to page scraping?
BuiltWith Domain API Website technology information, including current and historical technology data, with XML, JSON, CSV, and XLSX output options. Are you trying to identify the technologies a website uses, rather than extract arbitrary page content?

How the workflows differ

ScrapingBee: request a page and extract from it

ScrapingBee’s documentation describes a URL-based HTML API with JavaScript rendering enabled by default. It also documents proxy choices and extraction using selectors or AI. Request-credit use varies with settings, so a workload’s cost depends on how a request is configured—not just how many URLs it contains.

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Firecrawl: choose among discovery and extraction workflows

Firecrawl documents separate scrape, search, map, crawl, and batch-scraping workflows, as well as structured extraction examples. That breadth may suit a project that needs to discover or traverse pages as well as retrieve them. Its enhanced-mode documentation gives different credit costs to proxy modes; those credits are Firecrawl’s own usage units.

BuiltWith: look up website technology data

BuiltWith’s Domain API is oriented toward information about the technologies detected on websites, including current and historical data. Its documented XML, JSON, CSV, and XLSX formats are ways to receive that technology information. This is a different job from fetching and extracting general page content, so a direct feature-for-feature comparison with a page-scraping workflow may not answer the right question.

Compare by task, output, and operating constraints

  • Start with the data. For rendered page HTML or configured content extraction, assess ScrapingBee. For a choice of search, mapping, crawling, batch, and scrape workflows, assess Firecrawl. For website technology profiles and historical technology data, assess BuiltWith.
  • Check output shape. Confirm whether the receiving system needs HTML, structured extracted fields, or technology records in a supported export format. A format being available does not mean the services return interchangeable data.
  • Estimate usage against your own workload. Count the operations your workflow actually needs, including rendering, proxy modes, retries, discovery, and extraction where relevant. Each provider’s credit rules describe its own service; one provider’s credit is not a standard unit that can be compared directly with another’s.
  • Check throughput limits separately from credits. A concurrency figure describes a stated limit, not a guarantee of speed or successful completion. Confirm the plan and current documentation that apply to your account before designing around a limit.
  • Do not infer a performance winner from feature lists. The available documentation does not provide a controlled, comparable benchmark for speed or reliability across these three services.

Documented usage figures—and their limits

ScrapingBee’s API documentation lists request costs from 1 to 75 API credits depending on proxy and rendering settings, with AI extraction adding 5 credits. These are vendor-published units for ScrapingBee, not comparable measures of work across providers.

Firecrawl’s enhanced-mode documentation lists basic proxy at 1 credit, enhanced proxy at 5 credits, and auto mode at 1 credit if basic succeeds or 5 if an enhanced retry succeeds. These are Firecrawl-specific figures; check its current documentation before relying on them for a budget.

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A ScrapingBee plan article updated 17 October 2025 lists the following monthly prices, credits, and concurrency limits. It says prices exclude VAT. These are figures from that dated vendor page, not a verified current quote as of October 2026; confirm current pricing and terms directly before purchasing. Equivalent verified price figures for Firecrawl and BuiltWith are not established here.

ScrapingBee plan listed in the 17 October 2025 article Monthly API credits Concurrent requests Listed monthly price
Freelance 250,000 10 $49.99
Startup 1 million 50 $99.99
Business 3 million 100 $249.99
Business+ 8 million 200 $599.99
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What can—and cannot—be concluded

These products are not interchangeable choices for one generic “scraping API” slot: ScrapingBee emphasizes URL-based HTML retrieval and configurable extraction, Firecrawl documents a broader set of discovery and crawling workflows, and BuiltWith focuses on website technology information. Which one fits depends on the data and workflow the project requires. The available evidence does not establish a head-to-head performance winner, and no conclusion about the unnamed fourth API is possible until it is identified.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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