ScraperAPI vs ScrapingBee: 2026 Head-to-Head Comparison
ScraperAPI vs ScrapingBee: 2026 Head-to-Head Comparison
When I started proxyscraping.org, the two services I kept seeing pop up in scraping forums and developer Slack channels were ScraperAPI and ScrapingBee. Both sit in the same niche: managed scraping APIs that handle proxy rotation, headers, and JavaScript rendering so you don’t have to run your own browser fleet. But they’ve made different product bets, and choosing the wrong one costs you either money or failed requests.
ScraperAPI has leaned into high-volume, cost-per-call economics with a broad proxy pool that includes both datacenter and residential IPs. it’s the default choice for teams processing tens of millions of requests a month where cost per call matters more than finesse. ScrapingBee has gone harder on stealth and JavaScript rendering quality, with Chromium-backed headless browsers and a credit system that reflects the heavier compute cost of rendering SPAs and bot-protected pages.
The short verdict: if you’re scraping commodity HTML at scale with cost as the primary constraint, ScraperAPI wins. if you’re hitting JavaScript-heavy storefronts, login walls, or sites with aggressive bot detection, ScrapingBee is worth the premium. I’ll break down exactly why below.
TL;DR comparison table
| Axis | ScraperAPI | ScrapingBee |
|---|---|---|
| Starting price | $49/month (100k API calls) | $49/month (150k credits) |
| Free tier | 1,000 API calls | 1,000 API credits |
| Proxy types | Datacenter + residential | Datacenter + residential + stealth |
| JS rendering | Yes (extra cost) | Yes (included, Chromium) |
| Residential IPs | Yes (premium credits) | Yes (premium credits) |
| Geo targeting | Country-level | Country + city-level on some plans |
| Session persistence | Sticky sessions supported | Sticky sessions supported |
| Concurrent connections | Plan-dependent | Plan-dependent |
| Primary target user | High-volume data teams | Developer-first, JS-heavy targets |
| Support | Email + docs | Email + docs + live chat |
ScraperAPI at a glance
ScraperAPI launched around 2018 and has positioned itself as the lowest-friction entry point into managed scraping. you send a GET request to their API endpoint with your target URL and API key, and they handle proxy rotation, retry logic, and header spoofing on the backend. the ScraperAPI documentation is clean and well-maintained, covering Python, Node.js, Ruby, PHP, and raw cURL integrations.
Pricing tiers as of May 2026: Hobby at $49/month for 100,000 API calls, Startup at $149/month for 1,000,000 calls, Business at $299/month for 3,000,000 calls, and enterprise tiers above that. residential proxy calls cost more credits than datacenter calls. JavaScript rendering is an optional parameter that multiplies the credit cost per request. there’s a free tier at 1,000 calls per month which is actually useful for integration testing.
The product strength is throughput and pricing simplicity. at the Business tier you’re paying roughly $0.0001 per datacenter call, which is hard to beat if your targets don’t require heavy anti-bot circumvention. the pool draws on both datacenter and residential IPs, and you can specify country via a parameter without needing a separate residential endpoint.
Weaknesses I’ve noticed: the JavaScript rendering quality lags behind dedicated headless browser services on heavily guarded pages. Google SERPs and Amazon product pages generally work fine, but Cloudflare-protected sites and Distil Network targets can be hit or miss depending on the day. their retry logic is automatic but opaque, so you don’t always know why a request failed.
ScrapingBee at a glance
ScrapingBee launched in 2019 and was built from the start around Chromium-based headless browsing. the founders’ background was in developer tooling, and it shows in the API design. you can pass custom JavaScript snippets to execute on page load, wait for specific CSS selectors, take screenshots, and extract structured data, all via API parameters. the ScrapingBee documentation covers these advanced features in detail.
Pricing as of May 2026: Starter at $49/month for 150,000 credits, Growth at $99/month for 1,500,000 credits, Business at $249/month for 8,000,000 credits. a standard request costs 1 credit, a JavaScript-rendered request costs 5 credits, a premium proxy request costs 10-25 credits. that credit multiplication matters, because most of the sites you actually need ScrapingBee for will require JS rendering and premium proxies, so your effective request count is much lower than the headline number.
The standout feature is the stealth mode, which wraps requests in a real Chromium browser fingerprint rather than a headless Chromium signature. for sites that check navigator.webdriver, canvas fingerprints, or TLS fingerprint, this makes a material difference in success rate. ScrapingBee also has a live chat support channel, which I’ve personally found useful when debugging unusual failures on protected targets.
Head-to-head
IP pool size
Neither vendor publishes exact pool sizes with auditable sourcing, so I’ll go by what’s observable. ScraperAPI’s datacenter pool is large and globally distributed, with consistent coverage across North America, Europe, and major APAC markets. their residential pool appears to draw from commercial IP providers (they don’t disclose which). ScrapingBee similarly aggregates residential IPs from multiple providers and offers country-level targeting. on raw pool breadth, ScraperAPI appears to have the edge for datacenter IPs; ScrapingBee’s advantage is in how it uses IPs, not the count.
Rotation control
Both services rotate IPs automatically by default. both also support sticky sessions where you keep the same IP across multiple requests, useful for paginated scraping or login flows. ScraperAPI handles this via a session_number parameter. ScrapingBee uses a own_proxy parameter or session ID approach. the implementation is equivalent in practice. if you need granular control over rotation intervals or specific IP binding, neither service is the right tool, and you’d want a dedicated residential proxy provider like those covered in the proxyscraping.org blog.
Geo coverage
ScraperAPI supports country-level targeting across roughly 50+ countries via the country_code parameter. ScrapingBee also offers country-level targeting and in some tiers offers city-level targeting for major metros. for most use cases, country-level is sufficient. if you need to scrape localized content for specific cities, ScrapingBee has a small edge. for US/EU/APAC coverage at country level, both are adequate.
Connection success rate
This varies heavily by target site and time of day, so take any vendor-published success rate with skepticism. from my own testing and community reports: on commodity targets (news sites, public e-commerce listings, standard HTML pages), both services perform comparably in the 95-99% range. on heavily protected targets (Cloudflare Enterprise, PerimeterX, Akamai Bot Manager), ScrapingBee’s stealth mode produces meaningfully higher success rates. ScraperAPI’s auto-retry handles transient failures well, but if the underlying IP or fingerprint is flagged, retries don’t help. Cloudflare’s own documentation on bot management gives a sense of what modern anti-bot measures actually check, which illustrates why fingerprint-level spoofing matters.
Speed
Datacenter requests on ScraperAPI are fast, typically returning in under two seconds for simple HTML pages. JavaScript rendering adds latency on both platforms since you’re waiting for a real browser context to load and execute scripts. ScrapingBee’s Chromium rendering tends to be slightly slower than ScraperAPI’s JS rendering mode, but the success rate on protected pages compensates. if raw response time is your primary metric and your targets don’t require JS, ScraperAPI is faster.
Pricing per GB
Neither service prices by gigabyte, they price by API call or credit. this is worth flagging because if you’re used to evaluating residential proxy networks (which do price per GB), the comparison math is different. on ScraperAPI at the Startup tier, 1,000,000 calls at $149/month works out to $0.000149 per call for datacenter. on ScrapingBee at Growth tier, 1,500,000 credits at $99/month works out to $0.000066 per credit, but a JS-rendered request costs 5 credits, so $0.00033 per rendered page. for raw HTML scraping volume, ScraperAPI is cheaper. for JS-rendered scraping, the cost difference narrows.
Session persistence
Both support sticky sessions. ScraperAPI’s session persistence holds the same IP for up to 3 minutes by default, extendable. ScrapingBee’s session handling also supports multi-step flows where you maintain cookies and session state across requests. for scraping that involves login, cart state, or multi-page navigation, ScrapingBee’s session model is more developed. for stateless scraping, the difference is negligible.
Concurrent connections
Concurrent connection limits are plan-dependent on both platforms. ScraperAPI’s Business plan supports up to 100 concurrent threads. ScrapingBee’s Business plan supports comparable concurrency. neither imposes hard throttle limits on requests per second in a way that would constrain typical production workloads at those tiers. for extreme concurrency needs (thousands of simultaneous requests), enterprise plans on either service, or a dedicated proxy network, is the right path.
Use-case verdicts
High-volume public data collection (news, job boards, public listings)
Winner: ScraperAPI. the economics are better for stateless HTML scraping at scale. at 1,000,000+ requests per month, the per-call cost advantage is material. JS rendering is available when needed but doesn’t inflate costs for simple targets.
E-commerce monitoring on protected storefronts (Amazon, Shopify merchants, brand sites)
Winner: ScrapingBee. the stealth mode and Chromium fingerprinting handle PerimeterX and Akamai-protected pages more reliably than ScraperAPI’s standard rendering. if you’re running a price monitoring or competitor tracking tool, the higher success rate on these targets justifies the credit premium. if you’re building tools for multi-account operations where browser fingerprinting matters, the multiaccountops.com blog has relevant context on why fingerprint consistency across sessions is worth prioritizing.
SERP scraping (Google, Bing)
Tie, with caveats. both services handle Google SERPs reasonably well, and both offer country/locale targeting. ScraperAPI has specific Google-optimized parameters in their docs. ScrapingBee handles JS rendering for dynamic SERP features. the right choice depends on your volume and whether you need structured data extraction alongside the HTML.
Developer prototyping and integration testing
Winner: ScrapingBee. the API design is cleaner for one-off testing and debugging. the ability to pass custom JS, wait for selectors, and get screenshots makes it faster to iterate on a new target. ScraperAPI is equally easy to integrate, but its debugging tools are more limited. for a small team building a new scraping pipeline, ScrapingBee’s live chat support is also a practical advantage during the build phase.
Who should pick ScraperAPI
You’re processing millions of requests per month and the majority of your targets are standard HTML pages without aggressive bot protection. you’ve already built out your own retry logic, parsing pipeline, and monitoring, and you need a cost-effective proxy layer underneath. you’re comfortable with a “send request, get HTML” interface without needing to customize browser behavior. you want predictable per-call pricing without thinking about credit multipliers. see the full ScraperAPI review on proxyscraping.org for a deeper look at their infrastructure and edge cases.
ScraperAPI also makes sense if your team is primarily backend-focused and wants minimal API surface area. the simplicity of the integration is a feature if you don’t need headless browser control.
Who should pick ScrapingBee
Your targets include JavaScript-rendered SPAs, Cloudflare-protected pages, or sites using PerimeterX and similar bot management platforms. you need to execute custom JavaScript on page load, wait for lazy-loaded content, or scrape behind authentication flows. you’re building a product where scraping quality and success rate matter more than marginal per-request cost. you want the option of screenshots and structured extraction in addition to raw HTML.
ScrapingBee also fits developers who want faster iteration cycles during build, given the live chat support and richer API parameters. see the full ScrapingBee review on proxyscraping.org for details on their stealth mode and where it falls short.
Verdict overall
Neither service is universally better. if I had to pick one default for a new project, the tiebreaker is target difficulty. most scraping projects start with “I’ll just grab the HTML” and evolve toward “why is this target blocking me.” ScrapingBee’s architecture handles that evolution better, since you start with stealth rendering by default rather than bolting it on later. ScraperAPI wins on cost for the long tail of simple targets once your pipeline is stable.
The decision tree: start with ScraperAPI if you’re optimizing for cost from day one and your target list is well-defined. start with ScrapingBee if you’re targeting consumer-facing sites with modern bot protection, or if you’re still figuring out which targets will give you trouble. it’s also worth noting that the Robots Exclusion Protocol RFC 9309 defines what sites formally declare off-limits for automated access, and reviewing a target’s robots.txt before committing to a scraping architecture is basic due diligence regardless of which service you use.
Both services have functional free tiers, so there’s no cost to testing both on your specific target list before committing to a plan.
Written by Xavier Fok
disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-05-19.