ScraperBox

ScraperBox is not a raw proxy network — it is a managed web scraping API that wraps rotating residential proxies, headless Chrome browsers, and CAPTCHA handling behind a single HTTP endpoint. You send a URL, ScraperBox sends back the rendered HTML. The product is aimed squarely at developers and small data teams who do not want to build their own proxy rotation, browser fingerprinting, and retry logic, and who would rather pay per request than manage a GB-based residential pool. It launched in 2020 as a side project from co-founder Dirk Hoekstra (a CS/AI graduate) and lead developer Ivan Moroz, and has stayed deliberately lean compared to enterprise rivals like Bright Data or Oxylabs.

Under the hood, ScraperBox combines its own pool of rotating residential IPs with real Chrome instances, which is the main reason it tends to get through JavaScript-heavy targets that pure datacenter APIs choke on. The provider does not publish a hard IP count or country list the way the big networks do, but the API supports geo-targeting for residential proxy requests, automatic IP rotation on every call, and automatic retries against a different proxy when a CAPTCHA is detected. There is no separate SOCKS5 proxy product or raw proxy list — everything is consumed through the REST API, which is the trade-off you accept for the managed experience.

Pricing is credit-based rather than per-GB, which is unusual in the proxy world and friendlier for teams that scrape predictable page sizes. A basic API request costs 1 credit, and the entry plan reportedly starts around $19/month for 100,000 requests, scaling up through higher tiers for teams that need more volume, concurrency, or premium proxies. Requests that need JavaScript rendering, residential IPs, or premium handling consume more credits than a plain HTML fetch — so real-world cost depends heavily on how aggressive your target sites are. Always confirm current pricing on the vendor's site before committing, especially since the public scraperbox.com domain has been intermittently unreachable and a status check before purchase is wise.

Where ScraperBox is genuinely known is the boring stuff done well: a clean REST API, decent docs, undetectable Chrome rendering, and an automatic captcha-retry loop that abstracts away most of the babysitting you would otherwise do in Scrapy or Playwright. It plugs into anything that can make an HTTP request — Python's requests library, Node's axios, Scrapy middlewares, n8n HTTP nodes, Make, Zapier — so integration is rarely the blocker. It does not, however, offer structured scrapers for SERPs, e-commerce, or social media the way ScraperAPI, Bright Data, or Oxylabs do; you get raw HTML and parse it yourself.

The ideal ScraperBox customer is a solo developer, indie SaaS, or small data team that needs a few hundred thousand to a few million scrapes per month, mostly against JS-rendered sites, and wants a predictable per-request bill instead of a residential GB meter. If you are running enterprise-scale data collection, need SOC2 paperwork, want a dedicated account manager, or rely on pre-built structured endpoints for Amazon, Google, or LinkedIn, you will outgrow it quickly — Bright Data, Oxylabs, or Decodo are the more appropriate fit there. On the price/quality curve, ScraperBox sits in the budget-to-mid tier: cheaper than Zyte and Bright Data per request, comparable to ScraperAPI and ScrapingBee on the entry plan, and clearly behind the giants on pool size and enterprise tooling.

Limitations to know up front: the network and infrastructure details are not publicly audited, the support team is small, and country-level coverage outside the major markets is thin compared to a Tier-1 residential network. Also verify the official site is responding before signing up — domain redirects in late testing suggest the public web presence has been unstable, and you should confirm the product is actively maintained before wiring it into production pipelines.