Apify vs ScraperAPI: Which Web Scraping Platform Is Better?
Apify and ScraperAPI overlap, but they are not interchangeable. Apify is a programmable cloud platform for building, running, scheduling, and storing the output of scraping programs called Actors. ScraperAPI is primarily a managed web-access layer: send it a URL and it handles proxy rotation, retries, anti-bot defenses, geotargeting, and optional browser rendering.
ScraperAPI now also offers Structured Data Endpoints, a Crawler, asynchronous jobs, an AI Parser, and DataPipeline scheduling, so it is more than a bare proxy API. Even so, Apify gives developers broader control over crawler logic and end-to-end automation. The right choice depends on whether you need a complete execution platform or a dependable retrieval service inside an application you already own.
Apify wins for complete workflows; ScraperAPI wins for API-first retrieval
Choose Apify when you want ready-made scrapers, custom JavaScript/Python crawlers, schedules, storage, webhooks, and integrations in one cloud environment. Choose ScraperAPI when your code already owns discovery, parsing, validation, and storage and you want to outsource page access.
For a fair cost comparison, measure cost per accepted record. Neither an Apify compute unit nor a ScraperAPI credit equals one guaranteed usable page.
Table of Contents
At a glanceApify vs ScraperAPI Comparison
| Category | Apify | ScraperAPI | Edge |
|---|---|---|---|
| Core product | Actor development and cloud automation platform | Managed scraping API plus crawler and pipeline tools | Depends on architecture |
| Free access | $5 recurring monthly usage; no card | Pricing page advertises 7-day/5,000-credit trial; FAQ also describes 1,000-credit free plan | Verify at signup |
| First paid plan | $19/month + overage | $49/month for 100,000 credits | Apify entry fee |
| Ready-made extraction | 70,000+ Store tools advertised; listing-specific quality/pricing | Structured endpoints for selected Amazon, Google, Walmart, eBay, Redfin and other workflows | Apify breadth |
| Custom code | Hosted JavaScript/Python Actors and crawler frameworks | Your application owns most custom parsing; AI Parser and Crawler add options | Apify |
| JavaScript rendering | Browser automation inside Actors; resource/Actor pricing applies | render=true; typically 10 credits, 25 with premium, 75 with ultra premium | ScraperAPI simplicity |
| Scheduling | Tasks, schedules, webhooks, API, Actor composition | DataPipeline hourly/daily/weekly/monthly/cron schedules and webhooks | Apify depth |
| Storage | Datasets, key-value stores, request queues | Pipeline job results/downloads; external durable data platform usually needed | Apify |
| Cost model | Prepaid dollars fund resources and Actor events/results | Credits per successful request, affected by domain and parameters | ScraperAPI easier to model |
The deciding differenceProgrammable Platform vs Managed Access Layer
You want to own and run the complete scraper
An Apify Actor can discover URLs, control a browser, parse records, transform them, write datasets, and call other services. Saved tasks, schedules, webhooks, REST APIs, integrations, and shared storage turn those programs into production workflows.
The Store may eliminate most initial development, but its advertised 70,000+ tools are community and first-party listings—not one standardized product. Price, maintenance, input schema, output quality, and support vary by Actor.
See our full Apify review, Apify vs Octoparse, and Apify vs Scrape.do comparisons.
You want web access without proxy engineering
The synchronous endpoint returns HTML for a URL while ScraperAPI selects proxies, rotates identity, retries, and handles common anti-bot friction. Async jobs deliver results by polling or webhook; proxy-port access helps existing tools; Structured Data Endpoints return parsed records for supported targets.
DataPipeline and Crawler reduce the gap with Apify, but arbitrary-site parsing is still less open-ended than deploying your own Actor. DataPipeline also has a separate credit table: even a normal flat pipeline request is documented at six credits, not the core API’s one.
See our detailed ScraperAPI review and best web scraping tools guide.
Costs decodedApify vs ScraperAPI Pricing
These plans do not contain equivalent units. Apify’s subscription value becomes prepaid platform usage for compute, proxy traffic, data transfer, storage, and eligible Actor charges. ScraperAPI provides a monthly pool of API credits; each successful request consumes a variable number based on the domain and parameters.
| Plan | Monthly price | Included value | Published concurrency | Key limits/features |
|---|---|---|---|---|
| Apify Free | $0 | $5 usage | 5 Actor runs | $0.20/CU; 16 GB max Actor RAM; community |
| Apify Starter | $19 + overage | $19 usage | 32 runs | $0.20/CU; 64 GB RAM; chat |
| Apify Scale | $199 + overage | $199 usage | 128 runs | $0.16/CU; 256 GB RAM; priority chat |
| Apify Business | $999 + overage | $999 usage | 256 runs | $0.13/CU; 512 GB RAM; account manager |
| ScraperAPI Hobby | $49 | 100,000 credits | 20 threads | US/EU geotargeting |
| ScraperAPI Startup | $149 | 1 million | 50 threads | US/EU geotargeting |
| ScraperAPI Business | $299 | 3 million | 100 threads | Global geo; unlimited analytics history |
| ScraperAPI Scaling | $475 | 5 million | 200 threads | Global geo; pay as you go |
| ScraperAPI Professional | $975 | 10.5 million* | 300 threads | Priority support; pay as you go |
| ScraperAPI Advanced | $1,975 | 21.5 million* | 500 threads | Priority routing; pay as you go |
*The pricing page displays totals of 10.5M and 21.5M while separately labeling 250,000 and 500,000 credits as limited-offer bonuses. Those figures do not clearly reconcile, so this table preserves the displayed totals; verify the exact allowance at checkout. Annual billing is advertised at 10% off. Both vendors offer custom/Enterprise terms.
Monthly commitment on a shared $0–$1,975 scale
This compares list price only—not equivalent workload or output.
What ScraperAPI credits buy
Common core-API credits per successful request
Domain-specific costs and protection surcharges can change the result; query the URL-cost endpoint before a large job.
ScraperAPI documents 1 credit for an ordinary flat request, 5 for Amazon, 25 for Google/Bing, and 30 for LinkedIn. Bot-protection bypasses such as Cloudflare, Turnstile, DataDome, or PerimeterX are listed at 10 credits. Parameters can also set a total mode cost: rendering or premium proxies generally cost 10, premium plus rendering costs 25, ultra premium costs 30, and ultra premium plus rendering costs 75.
Only successful 200 and 404 responses are normally charged, along with requests the client cancels before ScraperAPI has had 70 seconds to finish. Use the sa-credit-cost response header, the Domain Cost Estimator, and max_cost controls rather than assuming every request costs one credit.
How Apify costs accumulate
One Apify compute unit is 1 GB of memory for one hour. CU prices are $0.20 on Free/Starter, $0.16 on Scale, and $0.13 on Business. Compute is only one possible charge: residential proxy traffic is $8/$8/$7.50/$7 per GB across those tiers, and storage, transfer, SERP/Unblocker usage, or Actor events/results may apply.
Unused monthly prepaid usage expires. Paid plans can enter pay-as-you-go overage, subject to account limits, whereas ScraperAPI’s lower tiers require an upgrade or custom arrangement when credits run out; its Scaling and higher public plans advertise pay-as-you-go.
Capability mapFeatures and Developer Experience
| Capability | Apify | ScraperAPI |
|---|---|---|
| Initial setup | Run a Store Actor or develop from JS/Python templates | Send URL and API key; use sync API, SDK, proxy port, or playground |
| Browser control | Full custom Playwright/Puppeteer/Crawlee logic | Managed rendering and screenshot parameters; Crawler/browser behavior is product-defined |
| Parsing | Any custom logic; Actor-specific structured output | Autoparse and Structured Endpoints for supported targets; AI Parser for schema-based extraction |
| Bulk/async | Actor runs, request queues, tasks, webhooks | Async jobs, Crawler, DataPipeline jobs, webhooks |
| Scheduling | Schedules can trigger Actors and tasks | DataPipeline supports one-time, hourly, daily, weekly, monthly, and cron |
| Geotargeting | Proxy configuration and product-dependent availability | US/EU on Hobby/Startup; global on Business and above; country parameter has no extra parameter fee |
| Sessions/headers | Custom code and proxy-session options | Session number, custom headers, desktop/mobile agents |
| Data storage | Datasets, key-value stores, request queues, API exports | Pipeline result downloads/webhooks; use your own durable warehouse |
| Interfaces | Console, REST API, integrations, MCP, SDKs | Sync/Async APIs, proxy port, structured endpoints, DataPipeline, SDKs, MCP |
Editorial product-fit profile
Qualitative fit based on documented scope—not a speed or success benchmark.
Apify ScraperAPI
Evidence, not guessworkPerformance and Reliability
No defensible universal speed winner exists. Apify can execute anything from a lightweight HTTP Actor to a browser-heavy custom workflow. ScraperAPI can use a normal datacenter route, a premium residential/mobile pool, an ultra-premium bypass, JavaScript rendering, or a domain-specific path. Those configurations have different latency, success, and credit costs.
ScraperAPI advertises a 99.9% uptime guarantee in its pricing feature list. Its structured-data marketing separately advertises 99.99% success for supported endpoints. Neither number guarantees success on your arbitrary target. Apify publishes plan resource and concurrency limits, but Actor speed depends on implementation, target behavior, proxy choice, and memory.
We therefore removed the previous article’s invented response-time, success-rate, and throughput comparisons. Measure end-to-end time through validation and storage, not only the gateway response. At the thread/run limit, also watch target rate limits, retry storms, empty shells, block pages, and duplicate records.
Best fitWhen Apify or ScraperAPI Makes More Sense
Apify is better for…
- Complex crawling: discovery rules, pagination, login flows, browser actions, enrichment, and transforms.
- Recurring datasets: scheduling, durable stores, exports, integrations, and webhooks in one service.
- Rapid vertical prototypes: a maintained Store Actor can produce a dataset without building a parser.
- Internal scraping products: package custom code with an input schema and API.
- Multi-step automation: compose Actors and downstream services around collected data.
ScraperAPI is better for…
- Existing crawlers: swap home-grown proxy/retry infrastructure for a managed endpoint.
- Raw-page pipelines: retrieve HTML, text, Markdown, screenshots, files, or rendered pages.
- Selected structured targets: use maintained endpoints instead of parsing supported sites.
- Scheduled URL batches: DataPipeline accepts up to 10,000 URLs, terms, or IDs per project.
- Geo-sensitive collection: route through plan-supported countries without a separate parameter fee.
For ecommerce, SERPs, real estate, travel, social media, or AI datasets, test the exact target and output schema. Respect applicable law, privacy obligations, contracts, and site controls. The neutral Robots Exclusion Protocol (RFC 9309) standardizes crawler instructions but does not grant authorization. Developers can also consult the MDN Fetch API guide.
Buying frameworkHow to Run a Fair Pilot
- Build a representative URL setInclude static, rendered, protected, geo-sensitive, paginated, and known-failure pages.
- Match the outputUse an Apify Actor that returns your schema. Add your production parser to ScraperAPI unless a structured endpoint covers it.
- Control retries and spendSet an Apify spending limit and ScraperAPI
max_cost; use identical acceptance and retry rules. - Validate contentReject blocks, CAPTCHAs, consent pages, empty browser shells, duplicates, stale values, and missing required fields.
- Calculate total costInclude subscriptions, overage, proxy/browser premiums, compute, transfer, storage, maintenance hours, and incident work.
- Retest after a layout changeA solution that is cheap on day one may become costly when selectors or target defenses change.
Trade-offsPros and Cons
Apify
Pros
- End-to-end programmable workflow
- Large Store ecosystem
- Custom JS/Python execution
- Scheduling and durable storage
- Flexible integrations
Cons
- More concepts to learn
- Multi-part pricing
- Actor quality and cost vary
- Unused monthly credit expires
- Paid overage needs controls
ScraperAPI
Pros
- Fast API-first integration
- Automatic retries and rotation
- Documented domain/mode costs
- Async, Crawler, and DataPipeline
- Structured endpoints for key targets
Cons
- Custom parsing usually remains yours
- Premium modes consume many credits
- DataPipeline uses a different cost table
- Free allowance messaging conflicts
- Global geo starts at Business
FAQCommon Questions
Is Apify cheaper than ScraperAPI?
Does every ScraperAPI request cost one credit?
Does ScraperAPI charge for failed requests?
Can ScraperAPI replace an Apify Actor?
Which is better for beginners?
Which is better for enterprise use?
Final verdictChoose Based on Who Owns the Workflow
Choose Apify when the provider should host the crawler, parsing, automation, storage, schedules, and integrations. It is the broader platform and our overall winner for building a new reusable data workflow.
Choose ScraperAPI when your application should remain the system of record and you mainly need reliable access, proxy rotation, rendering, async retrieval, or supported structured endpoints. Its credits are easier to scenario-model, but domain and premium multipliers matter.
The practical answer: test both on the same URL set and buy the lower-cost path to validated records—not the plan with the largest headline number.
Disclosure: This article contains affiliate links. We may earn a commission if you purchase through them, at no extra cost to you. Pricing and limits change; verify checkout and test your targets. Provider-reported service figures were not independently benchmarked.
Sources & comparison methodology
Research checked September 17, 2026. We reviewed current public pricing and product documentation, compared only like units, labeled vendor claims, and removed unsupported market-size and performance charts from the old article. No paid checkout, contract review, or controlled cross-provider benchmark was performed.
Price bars show monthly commitment on one scale, not equivalent capacity. Credit columns use documented core-API examples. The radar is an explicitly editorial fit visualization, not measured performance.
