ScraperAPI vs Scrape.do: Which Scraping API Is Better?
ScraperAPI and Scrape.do both turn difficult web access into an API call, but they are no longer equivalent products. Scrape.do concentrates on retrieval: rotating datacenter or residential/mobile identities, JavaScript rendering, browser interaction, geotargeting, sticky sessions, sync/async calls, and Proxy Mode. ScraperAPI adds a wider application layer through Structured Data Endpoints, DataPipeline, Crawler, AI Parser, SDKs, and integrations.
Our ScraperAPI vs Scrape.do conclusion is workload-specific. Scrape.do is the stronger pure-retrieval value because it starts at $29, includes 250,000 credits, and charges five credits for standard datacenter rendering. ScraperAPI is the stronger extraction and pipeline suite when supported structured output, scheduled batches, crawler features, or selected target-specific endpoints can replace customer engineering.
ScraperAPI or Scrape.do?
Choose Scrape.do if developers already own discovery, parsing, scheduling, validation, and storage and primarily need economical access to raw pages. Its Hobby plan costs $29 for 250,000 credits; a normal request costs one, standard rendering costs five, residential/mobile costs ten, and residential/mobile plus rendering costs 25.
Choose ScraperAPI if its broader suite can eliminate other pipeline work. Hobby costs $49 for 100,000 credits; normal requests cost one, rendering or premium routing costs ten, premium plus rendering costs 25, and ultra-premium rendering costs 75. Structured endpoints and DataPipeline can be valuable, but Pipeline requests use a separate cost table starting at six credits.
Table of Contents
- Side-by-side comparison
- How the products differ
- Plans and pricing
- Credit models
- Request capacity
- Rendering and browser features
- Structured data and parsing
- Async jobs and pipelines
- Proxies, geo, and sessions
- Concurrency and reliability
- Proxy Mode security
- Use-case winners
- True-cost framework
- Pros and cons
- FAQs
- Final verdict
- Sources and methodology
At a glanceScraperAPI vs Scrape.do Comparison
| Category | ScraperAPI | Scrape.do | Edge |
|---|---|---|---|
| Primary strength | Managed retrieval plus structured endpoints, crawler, AI parser, and pipeline | Focused, economical managed retrieval and unblocking | Depends on architecture |
| Free access | Conflicting: 7-day/5K trial vs FAQ 1K free plan | 1,000 credits monthly; five concurrent; no card | Scrape.do clarity |
| First paid plan | $49 / 100K credits / 20 threads | $29 / 250K credits / 10 pricing-page concurrency | Scrape.do |
| Normal request | 1 credit | 1 credit | Tie |
| JavaScript render | 10 credits | 5 datacenter credits | Scrape.do |
| Premium/residential | Premium mode 10 credits | Residential/mobile 10 credits | Similar number, different scope |
| Premium/residential + render | 25 credits | 25 credits | Nominal tie; test network fit |
| Hardest public mode | Ultra premium + render: 75 | Named domains: 10–200 | Target-dependent |
| Structured output | Supported Structured Data Endpoints, autoparse, AI Parser | Customer generally owns arbitrary-site parsing | ScraperAPI |
| Batch/scheduling | DataPipeline with schedules, webhooks, downloads, notifications | Async jobs and webhooks; scheduling remains customer-owned | ScraperAPI |
| Geo reach | 40M IPs / 50+ locations advertised; plan-limited geo | 150M+ IPs / 160+ countries advertised | Scrape.do advertised reach |
| Bandwidth | Unlimited listed on paid plans | Unlimited listed across plans | Tie; credits still limit usage |
The deciding differenceRetrieval Suite vs Focused Access API
You want more of the pipeline in one account
ScraperAPI can retrieve one page synchronously, accept asynchronous jobs, expose a proxy port, return structured records for supported targets, schedule batch projects through DataPipeline, and integrate through SDKs. Its current documentation also describes Crawler, AI Parser, MCP, and n8n support.
The broader product boundary can reduce custom engineering, especially for supported Amazon, Google, Walmart, eBay, and Redfin workflows.
You already own the data pipeline
Scrape.do is most compelling as a clean access layer. Your program submits a URL and optional render, proxy, geo, session, or browser-interaction parameters; Scrape.do returns the response while your code handles schemas, validation, storage, scheduling, and downstream logic.
That narrower role makes pricing easier to understand for standard untargeted domains and produces strong entry-tier capacity.
Neither service is a general hosted-code environment or a visual desktop scraper. For those architectures, compare Apify vs ScraperAPI, Apify vs Scrape.do, and Octoparse vs Scrape.do.
Current public pricingScraperAPI vs Scrape.do Plans
| Provider / plan | Monthly | Annual-effective | Credits | Published concurrency |
|---|---|---|---|---|
| ScraperAPI Free/trial | $0 | — | 5K trial advertised; FAQ also describes 1K free | 5 on FAQ plan |
| ScraperAPI Hobby | $49 | $44.10/mo | 100,000 | 20 |
| ScraperAPI Startup | $149 | $134.10/mo | 1 million | 50 |
| ScraperAPI Business | $299 | $269.10/mo | 3 million | 100 |
| ScraperAPI Scaling | $475 | $427.50/mo | 5 million | 200 |
| ScraperAPI Professional | $975 | $877.50/mo | 10.5 million shown | 300 |
| ScraperAPI Advanced | $1,975 | $1,777.50/mo | 21.5 million shown | 500 |
| Scrape.do Free | $0 | — | 1,000 monthly | 5 |
| Scrape.do Hobby | $29 | $24.17/mo equivalent* | 250,000 | 10 pricing page |
| Scrape.do Pro | $99 | $82.50/mo equivalent* | 1.25 million | 50 pricing page |
| Scrape.do Business | $249 | $207.50/mo equivalent* | 3.5 million | 100 pricing page |
| Scrape.do Advanced | $699 | $582.50/mo equivalent* | 10 million | 200 |
*Scrape.do advertises annual totals equal to ten monthly payments for twelve months: $290/$990/$2,490/$6,990. Switching is handled manually through support. ScraperAPI advertises 10% off annual billing. Enterprise/custom plans are omitted for space. Prices are public USD figures before tax.
Monthly plan commitments on a shared $1,975 scale
Bars compare subscription price only—not equivalent workload, features, or accepted output.
Which provider has better simple-request pricing?
At one credit per simple request and full allowance utilization, Scrape.do Hobby works out to roughly $0.116 per 1,000 credits, compared with $0.49 for ScraperAPI Hobby. Scrape.do Pro is about $0.079 per 1,000, while ScraperAPI Startup is $0.149. Scrape.do Business is approximately $0.071 per 1,000; ScraperAPI Business is about $0.100. These ratios exclude failed attempts, special domains, add-on charges, and pipeline or parsing labor.
The real unit economicsCredit Models Compared
| Request or target | ScraperAPI credits | Scrape.do credits | Comment |
|---|---|---|---|
| Normal flat/datacenter | 1 | 1 | Direct nominal match |
| Amazon | 5 | Automatic named profile may vary | Inspect actual cost |
| JavaScript render | 10 | 5 datacenter | Scrape.do lower standard cost |
| Premium / residential-mobile | 10 premium | 10 residential/mobile | Same number; routes are not necessarily identical |
| Screenshot | 10 | Browser capabilities; check exact flow | Not a clean price match |
| Bot-protection bypass | 10 for named protection classes | Automatic target profile | Target state can change |
| SERP or premium + render | 25 | 25 residential/mobile + render | Same number for different categories |
| LinkedIn or ultra premium | 30 | Named-domain profile | Inspect headers |
| Ultra premium + render | 75 | Named domains can reach 200 | Hard-target ceiling differs |
| DataPipeline flat request | Starts at 6; documented combinations up to 80 | No equivalent built-in pipeline | Do not use ScraperAPI core rates |
ScraperAPI’s documented mode costs are totals: premium plus render is 25, not a ten-plus-ten calculation. Free
parameters include country_code, session_number, device_type,
output_format, keep_headers, autoparse, and
wait_for_selector. The sa-credit-cost header and URL-cost endpoint report consumption,
while max_cost can cap one scrape.
Scrape.do charges documented successful responses with 2XX, 400, 404, or 410 status. Some named domains
automatically receive proxy/render profiles costing 10–200 credits. The Scrape.do-Request-Cost
header is the authoritative cost for the returned request.
Comparable standard core modes: credits per response
Lower is better. Shared 75-credit scale. Scrape.do named-domain profiles up to 200 and ScraperAPI DataPipeline costs are excluded.
Billing behavior matters too
ScraperAPI charges 200 and 404 responses. A client-cancelled request can also be charged if the service was not allowed up to 70 seconds to complete, so an overly short timeout can waste credits. Scrape.do’s billed-success list includes 2XX, 400, 404, and 410; it says customers can raise invalid content with support to discuss a custom rule. In both systems, a billed HTTP response can still fail your business validation.
What an entry plan can actually doHobby Plan Request Capacity
| Workload | ScraperAPI Hobby $49 / 100K | Scrape.do Hobby $29 / 250K | Capacity advantage |
|---|---|---|---|
| Normal requests | 100,000 | 250,000 | Scrape.do 2.5× |
| Rendered datacenter | 10,000 | 50,000 | Scrape.do 5× |
| Premium / residential-mobile* | 10,000 | 25,000 | Scrape.do 2.5× |
| Premium/residential + render* | 4,000 | 10,000 | Scrape.do 2.5× |
| Ultra premium + render | About 1,333 | No directly equivalent standard mode | Not comparable |
*Premium and residential/mobile labels are not proof of identical network quality or target fit. Figures are theoretical successful-response maxima at standard documented multipliers. They exclude named-domain costs, retries, invalid content, pipeline work, and accepted-record filtering.
Dynamic pagesJavaScript Rendering and Browser Controls
Both services can execute JavaScript for pages whose meaningful content appears after initial HTML. ScraperAPI lists rendering, screenshots, premium and ultra-premium proxy modes, selector waits, device types, custom headers, sessions, retries, and desktop/mobile agents. A normal render costs ten credits; combining premium and rendering costs 25; ultra premium with render costs 75.
Scrape.do’s headless-browser features include JavaScript rendering and page interactions. Standard datacenter rendering costs five credits, while residential/mobile rendering costs 25. Every plan advertises access to core browser and proxy features, so Hobby users are not forced into a higher tier merely to enable rendering.
Scrape.do wins standard browser economics. ScraperAPI may still be more effective on a particular protected target, and its screenshot and target-specific modes give developers explicit options. A fair pilot must compare the cheapest mode that produces the correct content—not the same parameter label.
Beyond raw HTMLStructured Data, Autoparsing, and AI Features
ScraperAPI has the clear feature advantage for supported structured extraction. Its Structured Data Endpoints return parsed JSON or CSV for documented workflows involving Amazon, Google, Walmart, eBay, Redfin, and other supported targets. Both synchronous and asynchronous APIs can access structured endpoints. Autoparsing and AI Parser further reduce the amount of selector and transformation code a customer must maintain.
The limitation is coverage. A supported product or search workflow does not imply universal structured output for every website. Unsupported targets still require customer-owned HTML parsing, schema validation, deduplication, and change monitoring. Even supported records should be checked for missing fields, locale differences, pagination, variants, and page-template drift.
Scrape.do primarily returns page content. That is a disadvantage for teams seeking finished records, but an advantage for developers who want complete control over parsers and schemas. It avoids paying for a platform layer the customer does not need.
From one URL to recurring jobsAsync APIs, DataPipeline, and Scheduling
Both services offer asynchronous retrieval. Scrape.do supports job submission, polling, cancellation, temporary results, and webhook delivery through a separate async concurrency pool. The customer is responsible for persisting results, scheduling future runs, tracking idempotency, and building downstream transformations.
ScraperAPI’s Async API handles delayed retrieval, while DataPipeline adds low-code batch and scheduling features. A project can accept up to 10,000 URLs, keywords, or IDs through fields, CSV, or webhook input; run once, hourly, daily, weekly, monthly, or by cron; then expose saved downloads, notifications, and webhook results. Output can be HTML, JSON, or CSV depending on project type, with arbitrary-site HTML wrapped in JSONL.
Workflow winner: ScraperAPI for built-in scheduling, batch inputs, structured endpoints, and result handling. Simplicity winner: Scrape.do when the customer’s existing queue, cron service, ETL system, and storage should remain the control plane.
Identity and geographyProxies, Geotargeting, Sessions, and Headers
ScraperAPI advertises a 40-million-IP pool across 50+ geolocations. Hobby and Startup list US/EU geotargeting; Business and higher tiers list global targeting. Its free-cost parameters include country selection, session number, device type, output format, and header preservation, but the underlying request mode still consumes its normal credits.
Scrape.do documentation advertises more than 150 million IPs and its pricing page says 160+ countries. Datacenter and residential/mobile routes, geotargeting, sticky sessions, and unlimited bandwidth are advertised across every plan. Business adds premium residential/mobile access and team features.
These pool and location figures are provider-reported marketing claims, not independent counts or proof of availability on a particular target. Measurement methods can differ. Test the correct city/country behavior, ASN/identity mix, session persistence, block-page rate, and validated output on your URL set.
Throughput needs contextConcurrency, Reliability, and Support
ScraperAPI lists 20, 50, 100, 200, 300, and 500 concurrent threads from Hobby through Advanced. Exceeding the limit returns HTTP 429 rather than silently queuing or charging extra. Scaling and higher plans advertise pay-as-you-go usage; lower paid tiers direct exhausted users to upgrade or contact support. Business adds global geo and unlimited analytics history, while Professional and above add higher support/routing tiers.
Scrape.do’s pricing page lists 5, 10, 50, 100, and 200 main-API slots from Free through Advanced. Its Async API docs conflict on several tiers, listing 5, 5, 15, 40, and 200, plus separate async pools of 2, 2, 5, 12, and 60. Any throughput-sensitive buyer should obtain written confirmation rather than extrapolating from the plan card.
ScraperAPI lists a 99.9% uptime guarantee and advertises 99.99% success on supported structured domains. Scrape.do’s homepage advertises 99.98% success. These claims apply to different scopes and are not evidence of a universal winner. We did not conduct a controlled benchmark; measure correct-content rate, accepted-record rate, p50/p95 latency, error classification, retry rate, and cost on your own targets.
Implementation riskProxy Port and Proxy Mode Security
Both services support proxy-compatible tooling, but the transport model deserves scrutiny. Scrape.do’s Proxy Mode documentation says a client must trust the Scrape.do certificate authority or disable SSL verification. Disabling TLS verification weakens server authentication and should not become a broad production setting.
ScraperAPI’s proxy port can fit existing crawlers that already understand HTTP proxy configuration. Regardless of provider, keep API keys out of client-side code, rotate exposed credentials, restrict logs containing sensitive URLs or cookies, and scope access by environment.
Workload winnersWhich API Is Better for Your Use Case?
| Use case | Better starting point | Why |
|---|---|---|
| Lowest paid entry | Scrape.do | $29 and 250K credits versus $49 and 100K |
| High-volume simple URL retrieval | Scrape.do | Lower public unit cost on comparable tiers |
| JavaScript-heavy pages | Scrape.do | Five-credit standard datacenter rendering |
| Supported Amazon/Google/retail output | ScraperAPI | Structured Data Endpoints and autoparsing |
| Scheduled low-code batches | ScraperAPI | DataPipeline inputs, schedules, webhooks, downloads |
| Existing custom ETL and parser | Scrape.do | Focused retrieval layer without extra platform scope |
| Broad advertised country selection on entry tiers | Scrape.do | 160+ countries advertised across plans |
| Explicit per-request budget guard | ScraperAPI | max_cost, URL-cost tool, and cost header |
| Higher published concurrency | ScraperAPI | 20–500 threads; Scrape.do 10–200 paid pricing-page limits |
| Async retrieval only | Tie | Both support asynchronous job patterns and webhooks |
For product-specific depth, read our ScraperAPI review and Scrape.do review. You can also compare adjacent options in ScraperAPI vs Octoparse, ScrapingAnt vs Scrape.do, and the best web scraping tools guide.
Suggested pilot decision weights
Adjust these weights before testing; the visual is a planning framework, not measured provider performance.
- 30% Validated output quality — correct, complete, localized results.
- 25% Accepted-record cost — credits, retries, labor, and infrastructure.
- 20% Workflow fit — pure retrieval versus structured/pipeline needs.
- 15% Throughput — sustainable concurrency and tail latency.
- 10% Governance — security, retention, support, compliance.
Use the right denominatorHow to Calculate the True Cost
The fair metric is total monthly cost per accepted record. Credits are only an input. A cheaper fetch that demands a custom parser can cost more overall than a pricier structured endpoint; a feature-rich pipeline can be wasteful if an existing ETL stack already does the job.
- Define acceptance rules.List required fields, correct locale, freshness, uniqueness, and allowable nulls.
- Build a representative test set.Include static, rendered, protected, regional, paginated, and malformed pages.
- Choose the cheapest valid mode.Escalate to premium identities and rendering only where needed.
- Log actual consumption.Capture cost headers, status, target class, latency, retries, and validation outcomes.
- Price the whole pipeline.Include DataPipeline rates, parser development, storage, queues, monitoring, and repair labor.
- Measure sustained throughput.Test concurrency behavior, 429/backoff handling, async pools, and p95 latency.
- Divide by accepted records.Do not count a returned page until it passes content and schema validation.
Use ordinary HTTP patterns, such as those described by the MDN Fetch API reference, with secrets kept server-side and bounded retries. Scrape only where lawful and permitted; the Robots Exclusion Protocol in RFC 9309 is one policy signal, not a substitute for terms, privacy, copyright, or legal review.
Balanced trade-offsScraperAPI and Scrape.do Pros and Cons
ScraperAPI
Pros
- Broad suite spanning sync, async, proxy, structured, pipeline, and SDK access
- Structured endpoints for supported retail, search, and property workflows
- DataPipeline adds inputs, schedules, downloads, notifications, and webhooks
- Useful cost header, URL estimator, and per-request maximum
- 20–500 published threads across paid tiers
- Crawler, AI Parser, MCP, and n8n expand integration options
Cons
- Higher $49 paid entry with only 100K credits
- Rendering costs twice Scrape.do’s standard datacenter mode
- DataPipeline has a separate, higher credit table
- Free messaging conflicts across public pages
- Global geotargeting begins at Business
- Professional/Advanced bonus and total labels need confirmation
Scrape.do
Pros
- $29 Hobby plan includes 250K credits
- Strong standard rendering and residential/mobile economics
- Core proxies, rendering, geo, sessions, and interactions on every plan
- 160+ advertised countries and 150M+ advertised IPs
- Sync and Async APIs plus webhook delivery
- Annual totals provide twelve months for ten payments
Cons
- Parsing and durable storage generally remain customer-owned
- Named domains may cost 10–200 credits
- Async results are temporary
- Pricing and Async API concurrency figures conflict
- Credits stop requests unless users upgrade or buy more
- Proxy Mode requires custom CA trust or disabled verification
Choose by missing layer: if your application lacks structured extraction, batching, and schedules, ScraperAPI may replace more engineering. If it only lacks reliable page access, Scrape.do usually offers better entry-level economics.
Frequently asked questionsScraperAPI vs Scrape.do FAQ
Is ScraperAPI better than Scrape.do?
Which is cheaper, ScraperAPI or Scrape.do?
Which has the better free plan?
Which is better for JavaScript rendering?
Does ScraperAPI return structured data?
Does Scrape.do return structured JSON?
Do both offer asynchronous scraping?
What happens when concurrency is exceeded?
Are the advertised proxy pools independently verified?
Scrape.do Wins Retrieval Value; ScraperAPI Wins Product Breadth
Choose Scrape.do when an existing application already owns the data workflow and needs a cost-effective retrieval layer. Its $29 Hobby plan, 250,000 credits, five-credit datacenter rendering, ten-credit residential/mobile access, and 25-credit rendered residential/mobile mode are difficult to beat on published entry-tier economics.
Choose ScraperAPI when selected structured endpoints, Crawler, AI Parser, or DataPipeline can remove enough development and maintenance to justify the higher price and different multipliers. It is the more complete suite, but buyers must distinguish core API credits from Pipeline costs.
Our recommendation: use a representative pilot and measure total cost per validated record. Scrape.do is the default value pick for raw access; ScraperAPI is the strategic pick when its broader workflow layer replaces tools or engineering you would otherwise pay for separately.
Sources & comparison methodology
Research scope: official public pricing and documentation reflected in the project’s September 18, 2026 research. We reviewed plans, credits, rendering, proxies, locations, structured endpoints, DataPipeline, Async APIs, concurrency, billing behavior, support, and Proxy Mode. No paid checkout, private contract review, or controlled cross-provider benchmark was performed.
Method: prices share a $1,975 scale; comparable standard core modes share a 75-credit scale. Request-capacity figures divide entry-plan credits by documented standard mode cost. They are theoretical successful-response maxima, not accepted-record guarantees. Provider pool, uptime, success, and availability statements remain labeled as claims. The pilot donut is a decision framework, not performance data.
Official ScraperAPI material represented: pricing, core documentation, credits/request costs, Structured Data Endpoints, DataPipeline, Pipeline credit costs, outputs, and endpoints. Official Scrape.do material represented: pricing, documentation, request costs, headless browser, Async API, and Proxy Mode.
Affiliate disclosure: This article contains affiliate links. We may earn a commission if you purchase through them, at no added cost to you. This does not change the comparison. Prices, credits, offers, and limits can change; verify live checkout and contract terms before committing.
