ScrapingAnt

ScrapingAnt is a web scraping API platform that bundles headless Chrome rendering, a pool of 3M+ rotating proxies, and AI-powered extraction behind a single API key and unified credit pool. Founded in 2020 by Oleg Kulyk, the company positions itself as a developer-friendly alternative to enterprise-heavy providers like BrightData and Oxylabs, targeting solo builders, indie SaaS teams, and small data shops that want a working scraper without negotiating a sales contract. The headline pitch is simple: one endpoint that handles JavaScript rendering, proxy rotation, and anti-bot bypass, billed on a credit system rather than per-GB bandwidth.

The proxy infrastructure spans residential, datacenter, and a hosted MCP server for AI agents. ScrapingAnt advertises 3M+ rotating residential IPs sourced from a peer-to-peer network covering 190+ countries, with country, state, and city-level targeting exposed directly through the proxy username. Sticky sessions are available on demand, and the residential pool is bandwidth-priced separately from the API credit pool when accessed via Proxy Mode. Datacenter proxies are included as the cheap default for unprotected targets. There is no owned ASN or carrier mobile network here — the residential pool is the standard P2P SDK model used by most mid-tier providers.

Pricing on ScrapingAnt is credit-based and starts at a free tier of 10,000 API credits per month with no credit card required. Paid plans begin around $19/month and scale up by credit volume. A simple datacenter request costs 1 credit, headless Chrome rendering bumps it to 10, residential proxy routing costs 50, and the combination of headless browser plus residential proxy is 250 credits per request. Credits do not roll over month-to-month, which is a real consideration for spiky workloads. Residential bandwidth via Proxy Mode is metered separately. There is no published enterprise tier on the public pricing page — most plans cap out in the low hundreds per month.

Where ScrapingAnt earns its reputation is the developer experience. The API is genuinely simple, official SDKs exist for Python and Node, and Proxy Mode exposes a standard HTTP/HTTPS endpoint that drops cleanly into Scrapy, Playwright, Puppeteer, and n8n. The hosted MCP server is one of the more interesting recent additions, letting AI agents call the scraping stack natively. Unlimited concurrency on paid plans is unusual at this price point and matters if you run parallel crawlers. Trustpilot reviews and independent benchmarks consistently flag fast support response from the founder-led team as a meaningful differentiator versus larger competitors where you queue behind tier-one ticketing.

ScrapingAnt is the right pick if you are a solo developer, indie hacker, or small agency scraping low-to-medium-protection sites — directories, ecommerce catalogs, SERP data, public review sites — and you want a working API without per-GB billing anxiety. It is not the right pick if your target sites run Akamai, PerimeterX, DataDome, or Kasada at full strength; benchmarks show success rates drop sharply on hard anti-bot stacks where ScrapingAnt cannot match the unblocker quality of BrightData Web Unlocker or Oxylabs Web Scraper API. It also is not the pick for sneaker copping, ticketing, or anything needing real mobile IPs — there is no mobile proxy product.

Limitations worth flagging up front: credits expire monthly, residential bandwidth is billed separately from credits which can confuse first-time buyers, the residential pool is smaller than tier-one providers, and country coverage outside major markets can be thin. There is no SOCKS5 support that we could verify, and the unblocker is built for unprotected and lightly protected targets — buyers scraping aggressively defended sites should benchmark on their own URLs before committing.