If you've ever tried to build a scraper that actually works at scale — not just for a weekend project on a forgiving website, but for real production use against Amazon, Google, or any site that actively doesn't want you there — you know exactly how fast things fall apart. Proxies get banned. CAPTCHAs appear out of nowhere. JavaScript renders nothing. You spend three days wrestling with infrastructure and zero time on the actual data you needed.
ScraperAPI is the tool a lot of developers eventually land on when they're tired of that cycle. One API call, one URL in, clean HTML out. Everything else — proxy rotation, CAPTCHA solving, browser rendering — is handled on their end. It's not magic, but after the third hour debugging a headless browser setup, it kind of feels like it.
👉 Start your free 7-day trial here — no credit card required
The core premise is simple: you send ScraperAPI a URL, and it sends back the page content. Behind that simplicity is a pretty serious piece of infrastructure.
ScraperAPI maintains a pool of over 40 million IP addresses spread across 50+ countries. When you make a request, it automatically rotates through those IPs, mimics real browser behavior, solves CAPTCHAs, and retries failed requests. For JavaScript-heavy sites — anything built with React, Angular, or similar frameworks — it spins up a headless browser and renders the page before returning the HTML. You don't configure any of this. It just happens.
For developers who've previously maintained their own proxy lists, that last paragraph is either a relief or slightly hard to believe. It's real, though. The proxy rotation is what keeps requests from getting blocked, and it's the core reason people pay for the service rather than rolling their own.
Beyond basic scraping, ScraperAPI offers structured data endpoints for high-demand targets. If you're trying to get Amazon product data, Google search results, or Walmart listings, you don't just get raw HTML back — you get clean, parsed JSON with the fields already extracted. Product name, price, ratings, ranking position — all structured and ready to use without writing a single XPath selector.
👉 See what ScraperAPI can do for your project
There are a few legitimate discount codes floating around for ScraperAPI right now.
The most widely verified is START10, which gives new users 10% off their first month on any paid subscription. It's an official code, confirmed across multiple sources as recently as early 2026. If you're just getting started and want to try a paid plan at a discount, this is the one to use.
Another code referenced by affiliates is CRAFTO25, reportedly offering 25% off a subscription. The verification signals on this one are lower than START10, so your mileage may vary — worth trying at checkout, but don't count on it.
The annual billing option is the most reliable way to save: all plans come with a 10% discount when billed yearly. On the Hobby plan, that drops the effective monthly rate from $49 to $44. On the Business plan, you're looking at $269/month instead of $299.
And if you just want to test things out before committing to anything: the free trial gives you 5,000 API credits over 7 days with no credit card required. That's enough to run real tests on real targets and see how the service performs on your actual use case.
👉 Claim your free trial and test ScraperAPI on your actual sites
Here's what the current plan structure looks like:
Hobby — $49/month (or $44/month billed annually)
Includes 100,000 API credits and 20 concurrent threads. Geotargeting is limited to US and EU regions. Good starting point for individual developers or small projects.
Startup — $149/month (or $134/month billed annually)
Steps up to 1,000,000 API credits and 50 concurrent threads, still US and EU geotargeting. Well-suited for small teams running regular scraping jobs.
Business — $299/month (or $269/month billed annually)
3,000,000 API credits, 100 concurrent threads, and full country-level geotargeting across all 50+ supported locations. The analytics history window extends to 6 months. This is where most professional data teams land.
Scaling — $475/month (or $427/month billed annually)
The most popular tier according to ScraperAPI. 5,000,000 API credits, 200 concurrent threads, full geotargeting. Designed for teams that are actively growing their data operations.
Enterprise — custom pricing
For 5 million+ API credits per month, you get a dedicated support team, a Slack support channel, and a fully custom plan. Contact their sales team directly.
One thing worth knowing about credits: not every request costs 1 credit. Basic HTML pages cost 1 credit. E-commerce sites cost 5. Search engines cost 25. If you're planning to scrape Google or Amazon heavily, factor that multiplier into your credit math before choosing a plan.
If you run out of credits before your renewal date on a Hobby, Startup, or Business plan, you can upgrade or contact support for a custom arrangement. Scaling and Enterprise customers continue on a pay-as-you-go model at a fixed rate.
👉 Compare plans and pick the right one for your volume
ScraperAPI claims over 10,000 companies on its platform, and has served over 11 billion requests in the past 30 days. The customer list includes names like Deloitte, Sony, Alibaba, and Nielsen — which is either a sign that enterprise teams trust it, or a sign that their marketing team has a good relationship with those logos. Probably both.
On the developer side, the reviews across Capterra, G2, and Software Advice tell a pretty consistent story. Users like the documentation, which is described as clear and quick to get running. One full-stack developer noted the API took about two minutes to set up — essentially just replacing one line in an existing requests library call. Another reviewer with over two years on the platform specifically mentioned the ability to upgrade, downgrade, or pause the subscription without friction.
The criticisms are also consistent: credit costs add up faster than expected when scraping protected targets, response times can run 5–10 seconds per request on harder sites, and a small number of sites (a few mentioned Tesco and certain social platforms) don't work reliably. That last point is worth flagging if your use case depends on platforms that actively prohibit scraping — ScraperAPI won't override terms-of-service restrictions on social media.
For the mainstream use cases — competitor price monitoring, market research, SERP tracking, Amazon product data, real estate listings — the service consistently delivers.
One part of ScraperAPI that doesn't always get mentioned first is the DataPipeline product. It's available on all paid plans and lets you set up automated data collection workflows without writing a single line of code. You configure the targets, the schedule, and the output format, and it runs on its own.
For teams where the people who need the data and the people who can write scrapers aren't the same person, this is genuinely useful. Business analysts and ops teams can pull structured data on a schedule without waiting on engineering. The output goes to wherever you want it — dashboards, databases, CSV exports.
👉 Try the DataPipeline and automate your data collection
If you're building LLM-powered applications and need real-time web access for your agents, ScraperAPI has a native LangChain integration. The basic idea is that you can give your LangChain agents the ability to fetch and process live web data through ScraperAPI's infrastructure — meaning the proxy rotation and rendering happen automatically, and your agent gets clean content rather than raw HTML full of scripts and nav elements.
For AI and ML teams collecting training data at scale, the async scraper service is particularly relevant. You can queue millions of requests and let them run without managing the concurrency yourself.
The 7-day free trial with 5,000 credits is genuinely useful for evaluation, not just a signup hook. 5,000 credits gets you 5,000 basic page scrapes, 1,000 e-commerce page scrapes, or 200 search engine result pages. That's enough to run a real test on your actual targets and see how success rates hold up before committing to a plan.
The recommended move is to start with the free trial, run it against the sites you actually need to scrape, and then apply the START10 promo code when you upgrade to a paid plan to save 10% on your first month.
There's also a 7-day no-questions-asked refund policy if you pay for a plan and it doesn't work for your use case. That's a genuine backstop, not a technicality buried in terms.
👉 Get started with ScraperAPI's free trial — 5,000 credits, no card needed
Web scraping infrastructure is one of those things that sounds like it should be a solved problem, and keeps not being one — until you hand it off to something designed specifically to deal with it. ScraperAPI is a straightforward bet for developers and data teams who'd rather spend time using data than fighting to collect it.