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Apify vs. ScraperAPI: Full Platform vs Proxy & Rendering API

Apify and ScraperAPI often appear in the same RFPs, but they solve different problems. This guide gives a full comparison table, pricing snapshot, when to use which, and an FAQ so you can pick the right layer for your stack.

Want the deeper architectural take? Our Apify vs. ScraperAPI 2026 architecture and pricing-model deep dive unpacks the serverless Actor model versus the proxy-API request model and how each one's billing follows from it.

Quick Answer

Apify is a full scraping platform with 30,000+ Actors, cloud execution, and storage. ScraperAPI is a proxy/rendering API you use with your existing scraper code. Different tools for different needs.

Use ScraperAPI when you already have a scraper and mainly need reliable IPs, retries, and optional headless rendering. Use Apify when you want pre-built site scrapers, managed runs, datasets, scheduling, and integrations without building the whole pipeline yourself.

Full comparison table

CategoryApifyScraperAPI
Primary roleScraping platform: Actors, execution, storage, schedulingProxy + rendering API: pass URLs, get HTML
Pre-built scrapers30,000+ Store Actors for major sitesNone; you parse HTML yourself
OutputStructured JSON/CSV per ActorRaw HTML (your code extracts fields)
Hosting & runsManaged cloud (serverless Actors)You run your own code / workers
SchedulingNative cron, webhooks, API triggersExternal (your cron, queue, or orchestrator)
StorageBuilt-in Datasets and Key-Value StoresNone; your DB, S3, or sheets
JavaScript renderingPer Actor (Playwright/Puppeteer/Crawlee)Optional headless Chrome (extra credits)
Proxy rotationPlatform proxies + optional residentialManaged pool; geo and session options
Anti-bot handlingPer Actor + Crawlee patternsRetries, rotation, premium options
Custom codeCrawlee SDK (JavaScript / Python), Docker ActorsAny language that can call HTTP
SERP / search APIsGoogle Search and SERP ActorsDedicated SERP endpoint (credit pricing)
AI / MCPOfficial MCP server, Actor-as-toolNo native MCP
IntegrationsMake, n8n, Zapier, Google Sheets, Airbyte, etc.Webhooks; you wire the rest
Best mental model“Run scrapers and store results here”“Make my HTTP request look legitimate”

Concrete example: Daily Amazon prices for 500 ASINs. With ScraperAPI, you write parsing and scheduling and store results yourself; ScraperAPI handles the request path. With Apify, you configure an Amazon Product Scraper Actor, set a schedule, and export from a Dataset.


Pricing (verify before you buy)

Pricing changes often. Confirm on ScraperAPI pricing and Apify pricing before budgeting.

TierScraperAPIApify
Free1,000 API credits/month$5/month recurring platform credit
EntryHobby $49/month (100,000 credits)$29/month Starter (typical entry paid)
MidStartup $149/month (1,000,000 credits)$199/month Scale
ScaleScaling $475/month (5,000,000 credits)$999/month Business
EnterpriseCustomCustom

How billing differs

  • ScraperAPI: Per API credit. Simple HTML often = 1 credit; JavaScript rendering commonly costs several credits per request; premium proxies and SERP calls cost more. Credits typically do not roll over.
  • Apify: Compute Units (RAM × time). Cost depends on Actor weight and target site difficulty, not a fixed “per URL” price.
Monthly volume (simple HTML-style workload)Rough read
Low / testsBoth offer free or near-free entry
Steady moderate volumeCompare ScraperAPI credits vs Apify CU usage on your real URLs
Very high volume, same scraper codeScraperAPI’s credit bundles can be easy to forecast
Need scrapers + schedules + exportsApify often wins on total engineering time

When to use which

Your situationBetter fit
Drop-in proxy for existing Python/Node/Go/Ruby scraperScraperAPI
No-code or low-code scrape from the Apify StoreApify
Recurring jobs + cloud storage + webhooksApify
You only want per-request billing and minimal platform surfaceScraperAPI
Google SERP dataEither (ScraperAPI SERP API vs Apify Google Actors)
AI agents / MCP tool callingApify
Niche site already covered by a maintained ActorApify
You insist on owning 100% of parse logic and infraScraperAPI (plus your stack)

Choose ScraperAPI when

  • You have working extractor code and mainly need rotation, retries, and optional rendering.
  • You want predictable per-request pricing for a pass-through API.
  • You run scrapers in languages or environments where Apify’s SDK is not the main path.
  • You need a quick free tier to validate proxy quality on target domains.

Start with ScraperAPI (includes free monthly credits; confirm current terms on their site).

Choose Apify when

  • You want pre-built Actors (Amazon, Maps, LinkedIn, TikTok, etc.) from the Apify Store.
  • You need scheduling, datasets, and exports without operating your own job runners.
  • You are building AI workflows and want MCP or API-first automation.
  • You prefer Crawlee for new scrapers (queues, storage, sessions) in one platform.

Start with Apify (free tier with monthly credits; no card required for signup per current policy).


Side-by-side: common use cases

Use caseScraperAPIApifyPractical pick
Unblock an existing scraperStrong fitPossible via proxies in ActorsScraperAPI
Amazon / Maps / social “out of the box”You build parsersStore ActorsApify
Scheduled price monitoringYou scheduleBuilt-in schedulesApify
Google SERPSERP APISearch ActorsEither; compare credit/CU cost
SPA / heavy JSRender optionActor-level browsersEither; benchmark latency
MCP / LLM toolsNoSupportedApify

How they fit your stack

ScraperAPI is usually a one-line URL change: send the target URL through their proxy endpoint with flags for render, country_code, session_number, premium, etc. See ScraperAPI documentation.

Apify exposes REST, JavaScript and Python SDKs, webhooks, and integrations. New scrapers often use Crawlee for queues, retries, sessions, and storage primitives that go beyond a single HTTP hop.


What ScraperAPI does not do

ScraperAPI returns HTML (or similar), not a finished product dataset. You still own parsing, long-term storage, monitoring for layout drift, and operational alerting. That is intentional: it is infrastructure, not a full scraping product.

What Apify adds on top of “just a request”

Apify bundles execution, marketplace scrapers, datasets, scheduling, and integrations (Make, n8n, Zapier, and others). You trade some flexibility for less glue code.


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Frequently Asked Questions

Not in absolute terms; they are different categories. ScraperAPI is a proxy and rendering API for code you already run. Apify is a platform with 30,000+ Actors, cloud execution, storage, and scheduling. Better depends on whether you need a pass-through network layer or an end-to-end scraping workflow.

ScraperAPI fetches pages through managed proxies and optional headless rendering; you supply and host the scraper and parser. Apify runs Actors in the cloud, often pre-built for specific sites, and stores results in Datasets with scheduling and integrations included.

ScraperAPI offers a free tier with a limited number of API credits per month (confirm the current allowance on their pricing page). Paid tiers scale by credits. Remember that JavaScript rendering and premium features consume more credits per request than a simple HTML fetch.

Both help with blocked requests. Bright Data (Bright Data) is a broad proxy and unblocking suite (residential, mobile, ISP, unlocker products) aimed at large or compliance-heavy programs. ScraperAPI is often simpler to adopt when you only need API-style proxying and rendering for existing scripts.

You could route traffic from custom code through both, but it is uncommon: Apify already includes proxy options for Actors. Most teams pick one primary approach (ScraperAPI for external scrapers, or Apify for platform-native runs) to avoid double cost and complexity.

No. It returns raw page content for URLs you request. For maintained, site-specific extractors, use Apify Store Actors or build your own parsers.

Depends on workload shape. ScraperAPI prices by API credits; Apify prices by compute time and plan credits. For light HTML crawling with your own code, ScraperAPI can be easy to forecast. For packaged scrapers with storage and schedules, compare total engineering time plus Apify CU usage on a pilot run.

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