If you are evaluating scraper api pricing in 2026, the comparison is harder than it looks. ScraperAPI sells monthly plans denominated in "API credits," and almost every interesting workload — Google SERP, JavaScript rendering, premium proxies, structured endpoints — costs more than one credit per request. That makes the headline plan price misleading until you do the credit math.
This guide breaks down ScraperAPI's 2026 self-serve plan ladder, explains the credit multipliers that change the per-request cost, and compares it to Scrappa's pay-as-you-go credits so you can pick a billing model that matches your actual workload.
Scrappa is built for teams that want structured JSON endpoints without monthly subscription lock-in. You get 500 free credits every month, purchased credits valid for 12 months, and one credit per request across 80+ endpoints — Google Search, Google Maps, Google Images, Google News, Google Jobs, Google Hotels, Google Flights, YouTube, LinkedIn, Trustpilot, Indeed, Vinted, and more.
If you have already shortlisted ScraperAPI specifically, the head-to-head feature grid lives on the ScraperAPI alternative comparison. This post is the broader pricing breakdown for teams searching scraper api pricing 2026 before committing to any provider.
Quick answer: how much does ScraperAPI cost in 2026?
As of the April 2026 refresh of Scrappa's ScraperAPI comparison, ScraperAPI's public self-serve pricing ladder looked like this:
| Plan | Monthly price | API credits | Documented Google/Bing SERP cost | SERP requests per plan |
|---|---|---|---|---|
| Hobby | $49 | 100,000 | 25 credits per request | ~4,000 |
| Startup | $149 | 1,000,000 | 25 credits per request | ~40,000 |
| Business | $299 | 3,000,000 | 25 credits per request | ~120,000 |
| Scaling | $475 | 5,000,000 | 25 credits per request | ~200,000 |
Higher Enterprise plans are quote-based. The important detail for buyers is that the credit multiplier matters more than the plan name. ScraperAPI's docs price a Google or Bing SERP request at 25 credits, so the entry Hobby plan does not equal "100,000 SERP requests" — it equals roughly 4,000 SERP requests.
For a side-by-side Scrappa vs ScraperAPI feature grid, see the ScraperAPI alternative page. For the broader pay-as-you-go pricing model that makes this comparison possible, see the Scrappa pricing page.
ScraperAPI pricing comparison 2026: per-request economics
The cleanest way to compare scraping API pricing is per-request, not per-plan. Below is each ScraperAPI plan normalized to Google SERP request volume, alongside the Scrappa pay-as-you-go equivalent at $0.30 per 1,000 requests.
| Monthly Google SERP volume | ScraperAPI plan cost | Scrappa equivalent at $0.30 / 1,000 | Effective savings |
|---|---|---|---|
| 4,000 SERP requests | $49 (Hobby) | $1.20 | ~98% |
| 40,000 SERP requests | $149 (Startup) | $12.00 | ~92% |
| 120,000 SERP requests | $299 (Business) | $36.00 | ~88% |
| 200,000 SERP requests | $475 (Scaling) | $60.00 | ~87% |
The gap is large because the buying jobs are different. ScraperAPI bundles a generic scraping proxy and structured endpoints into the same monthly credit bucket. Scrappa is a structured JSON API marketplace billed per request.
If your workload is mostly Google SERP, Google Maps, YouTube, LinkedIn, Trustpilot, or Indeed, the credit-multiplier math means you are usually paying more on a ScraperAPI plan than you would on Scrappa pay-as-you-go credits. If your workload is mostly arbitrary HTML scraping across thousands of long-tail websites, ScraperAPI's proxy-first model is closer to the job.
Why ScraperAPI's "API credits" make pricing comparisons tricky
ScraperAPI's plans look generous on paper because the credit pool is large. The catch is that not every request costs 1 credit. The documented multipliers in 2026 included:
- Standard request — 1 credit
- Request with JavaScript rendering — higher cost than a standard request
- Premium proxy / hard-target request — higher cost than a standard request
- Google or Bing SERP request — 25 credits
- Structured data endpoints (Amazon, Walmart, Google News, Google Jobs, Redfin, etc.) — vary by target
That credit-multiplier model is normal for a generic scraping proxy. It is also why teams searching scraperapi pricing often misjudge how many real requests their plan covers. A 100,000-credit plan reads like 100,000 SERPs, but at 25 credits per SERP it is closer to 4,000.
Scrappa avoids that surprise by charging one credit per request across all endpoints. Whether the underlying request is a Google SERP, a Trustpilot review crawl, or a LinkedIn profile lookup, the cost is the same: one credit. That makes forecasting much easier when you have not run the workload before.
For a deeper write-up of why teams move from monthly API-credit plans to credit packs, see Best Pay-As-You-Go Scraping API in 2026.
Scrappa pricing 2026: pay-as-you-go credit packs
Scrappa's self-serve packs currently run from $10 for 33,000 credits to $1,000 for 5,000,000 credits. The effective price starts around $0.30 per 1,000 requests and drops to $0.20 per 1,000 requests at the highest self-serve tier.
| Credit pack | Price | Approx. requests | Effective price per 1,000 |
|---|---|---|---|
| Starter | $10 | 33,000 | $0.30 |
| Basic | $25 | 86,000 | $0.29 |
| Standard | $50 | 180,000 | $0.28 |
| Plus | $100 | 370,000 | $0.27 |
| Professional | $250 | 1,000,000 | $0.25 |
| Business | $500 | 2,100,000 | $0.24 |
| Premium | $750 | 3,300,000 | $0.23 |
| Ultimate | $1,000 | 5,000,000 | $0.20 |
Three things make this pricing model behave differently from ScraperAPI's monthly plans:
- No required subscription. You can buy a credit pack once and run a project to completion without enrolling in a recurring plan.
- Credits valid for 12 months. A bursty project does not have to consume the entire balance inside a single billing cycle.
- One credit per request across all endpoints. No multipliers, no surprises when a workload shifts from search to maps to reviews.
See the full current pack breakdown on the Scrappa pricing page.
When ScraperAPI is the better choice
Pricing is only one input. ScraperAPI is a strong fit when your workload looks like this:
- You scrape arbitrary websites across many long-tail targets and need a generic proxy plus rendering layer.
- You already operate inside a monthly credit-plan model and the predictability is more valuable than per-request optimization.
- You need premium residential or mobile proxies with concurrency thresholds matched to a high-throughput plan.
- Your team has existing parsing infrastructure for raw HTML, so structured JSON is not a feature you would pay extra for.
If those bullets describe the job, the credit multiplier is part of the cost of using a generic scraping proxy and the monthly plan model is reasonable.
When Scrappa is the better ScraperAPI alternative
Scrappa is the strongest fit when your workload has one of these patterns.
1. You need structured JSON, not raw HTML
Scrappa returns parsed responses for each data source. A Google Search call returns a normalized SERP object. A Google Maps lookup returns place details, reviews, photos, categories, coordinates, hours, and phone numbers as named fields. A Trustpilot call returns structured reviews with ratings, dates, and author data.
That removes a category of work — selector maintenance, parser drift, anti-bot retries — that you keep paying for under a generic scraping proxy.
2. Your SERP, social, and marketplace volume is uneven
ScraperAPI plans reset monthly. Scrappa credits do not behave that way. A bursty workload can buy credits once, use them across projects, and avoid paying for idle months.
That is useful for agencies, internal growth teams, founders validating a data product, and developers replacing a monthly plan that never quite matched real usage.
3. You want one credit per request across every endpoint
The credit multiplier on ScraperAPI's structured endpoints is documented but easy to forget. Scrappa standardizes on one credit per request whether the call is to Google Search API, Google Maps API, YouTube API, LinkedIn, Trustpilot, or Indeed.
4. You want to validate before committing
Every Scrappa account gets 500 free credits every month without a credit card. That is enough to test the exact endpoints your application needs against real queries before deciding whether the workflow is worth a credit pack at all.
Migration checklist from ScraperAPI to Scrappa
Use this checklist before switching providers:
- List the ScraperAPI structured endpoints and proxy targets you actually call in production.
- Match the high-value targets to Scrappa endpoints. Google Search, Google Maps, Google Images, Google News, Google Jobs, Google Hotels, Google Flights, Google Trends, YouTube, LinkedIn, Trustpilot, Indeed, and Vinted cover most common workloads.
- Compare response fields, not only endpoint names. Scrappa ships parsed JSON, so compare against the fields your current parser produces.
- Re-estimate monthly cost using actual request volume, not plan names. Multiply ScraperAPI usage by the documented credit cost (25 for Google/Bing SERP), then compare against Scrappa per-request economics.
- Run a small parallel test on real queries to confirm the response fields match your application's contract.
- Delete the parser and proxy-rotation code that the structured endpoint replaces.
- Keep the ScraperAPI integration available until monitoring confirms the new path.
If your current integration mainly uses Google Search, Google Maps, or a handful of supported sites, the migration is usually small and often reduces the amount of code you maintain. If you scrape truly arbitrary websites that Scrappa does not cover, keep ScraperAPI in the stack for those specific targets and move the rest.
Recommended path for 2026
Use the ScraperAPI alternative page for the detailed Scrappa vs ScraperAPI feature grid and pricing tier comparison. Use this post as the short pricing buying guide for 2026:
- choose Scrappa when your workload is structured Google, social, marketplace, or review data and pay-as-you-go economics matter
- choose ScraperAPI when generic HTML scraping plus a managed proxy stack across many long-tail websites is the primary job
- compare against SerpAPI if your job is narrowly Google SERP and a mature SERP-only incumbent is acceptable
- compare against ScrapingBee if you specifically need a headless-browser HTML scraping proxy with monthly credit plans
- compare against Bright Data if enterprise-scale residential proxies and managed datasets are the buying driver
The reason Scrappa belongs at the top of a 2026 scraper API pricing comparison is simple: the cost structure is different. You start with 500 free credits, buy only the credits you need, keep them for 12 months, and use them across every endpoint instead of fitting your workload into a monthly plan and a credit multiplier you only notice on the invoice.
Start with pricing, test the Google Search API, then expand into Google Maps API or YouTube API when the workflow needs more than a single data source.