Apify vs Firecrawl: API differences, pricing and integration

Compare Apify and Firecrawl for web scraping APIs: output, access requirements, billing units and the work needed to switch.

The short answer

Firecrawl's single-page scrape is a different integration from an Apify Actor run. Choose Apify when a specific Actor solves the collection job; choose a document API when a uniform URL-to-document interface is the requirement.

Choose by the task you need to complete
ProviderA good reason to choose itImportant caveat
ApifyA recurring or site-specific collection job that benefits from an existing Actor or a custom hosted scraper.Apify is a platform, not one universal page-extraction schema. Actor fees, compute, proxy use and output quality must be checked for the particular Actor.
FirecrawlAn agent or retrieval pipeline that wants main-content documents without building a separate HTML-to-Markdown stage.Basic page credits do not establish the cost of every extraction mode, browser action or other product. A crawl job and a single-page scrape have different completion semantics.

Side-by-side differences

Apify vs Firecrawl: documented interfaces, not benchmark scores
RequirementApifyFirecrawl
Primary workflowHosted Actor runs and datasetsSingle-page scrape plus separate crawl/batch APIs
Returned contentActor-defined records or filesMarkdown, HTML and optional structured formats
Rendering/controlActor implementation determines browser behaviorScrape settings and actions; dedicated browser products also exist
Job modelRun creation, status and dataset retrievalSynchronous scrape; asynchronous crawl/batch
Integration boundaryPin Actor identity, version and input schemaDocument-oriented formats
Cost driverActor charges, compute, storage and proxy usageCredits and selected extraction features

Pricing: make the units comparable

Billing model and plan checks
ProviderBilling modelWhat to check
ApifyPlatform usage plus Actor-specific pricingPlans include platform spend; individual Actors can use compute, per-result or other pricing. Do not infer total job cost from the platform's compute-unit rate alone.
FirecrawlCredit plans with feature-specific consumptionThe pricing page distinguishes scraped pages and search credits. Compare the exact scrape options and billing interval; do not use an annually billed monthly equivalent as a monthly commitment.

For 1,000 accepted pages, record attempted URLs, render mode, retries and schema failures. A low HTML-request price can require separate parsing; an extraction credit can include work that another vendor bills separately. Do not rank cost until the output passes the same acceptance check.

For a buying decision, calculate total spend divided by accepted outputs at your expected volume. Keep free evaluation access, paid production access, annual commitments and overages separate. We have not measured a cost or speed winner for this pair.

What changes in the integration?

Provider endpoints and input mapping
ApifyFirecrawl
Method and URLPOST https://api.apify.com/v2/acts/{actorId}/runsPOST https://api.firecrawl.dev/v2/scrape
AuthenticationBearer API tokenAuthorization: Bearer token
InputsActor-specific JSON input, authenticated with a tokenJSON url, formats and optional scrape settings
OutputRun metadata; retrieve finished output from the run's dataset or use an appropriate synchronous endpoint.success and data containing requested document formats and metadata.

Apify: migration check

Pin an Actor and its schema/version in the adapter. Wait for terminal run status, then validate dataset items; the run-creation response is not the scraped data.

Firecrawl: migration check

Preserve final URL and extraction metadata. Revalidate Markdown structure and missing fields; an HTML fetch adapter is not automatically a drop-in document parser.

How to test them fairly

  1. Build an authorized test set spanning static HTML, JavaScript-rendered pages, tables and long articles. Save expected fields and the permitted access conditions.
  2. Use the same URLs, country, device settings and freshness window. Keep cache hits separate from fresh fetches.
  3. Mark challenge pages, empty main content and invalid structured fields as failures even if the HTTP status is 200.
  4. Measure time to a usable document or completed dataset, not only time to job creation. Include polling, retries and client-side parsing.
  5. Report total billed credits, browser time, proxy charges and actor fees per accepted document. Respect site terms, privacy, robots guidance and access controls; do not test bypassing protected accounts.

Record the plan, request settings, time window and acceptance rules with every run. That makes a later result interpretable when a vendor changes a model, source set or pricing tier.

Prefer a common request format?

All Them APIs · Web scraping APIsPOST /api/v1/web-scraping/extract

Review the request contract and tell us the coverage you need. Access requires enablement; this endpoint does not execute or bill requests yet.

View endpoint and request access

Sources and review dates

Documentation reviewed October 28, 2026. These are integration and plan comparisons, not measured speed or accuracy rankings. Availability, licensing and prices should be confirmed for the chosen plan.

Corrections: email faizank@docsalot.dev with an official source.