Scrapingdog

Scrapingdog is a scraping API first, proxy provider second. You do not get raw proxy IPs to plug into your scraper — you send a target URL to their endpoint and Scrapingdog returns the rendered HTML or structured JSON, handling proxy rotation, headless Chrome, and CAPTCHA bypass behind the scenes. The company was founded in 2020 by Manthan Koolwal and is bootstrapped out of Jaipur, India, which is reflected in pricing that consistently sits below the BrightData and Oxylabs tier. Scrapingdog claims to process 400M+ requests per month across its API suite and markets a 99%+ success rate on supported targets.

Under the hood, Scrapingdog routes traffic through a pool the company describes as 40M+ proxies, combining datacenter IPs for easy targets with a premium residential pool for harder sites. Geotargeting is supported via a country parameter on most endpoints, and a sticky residential session can be requested when you need cookies to persist across calls. The product is split into a generic Web Scraping API plus dedicated endpoints for Google Search, Google Maps, Google News, Amazon, Walmart, eBay, LinkedIn, Twitter, and Indeed — each returning parsed JSON so you avoid maintaining selectors yourself.

Pricing is credit-based with monthly subscriptions. The Lite plan starts at $40/month for 200,000 credits and 5 concurrent threads, Standard is $90/month for 1M credits with 50 threads, Pro is $200/month for 3M credits with 100 threads, and Premium runs $350/month for higher request volumes. Annual billing knocks roughly 17% off. Credits are spent at different rates depending on the request — 1 credit for a plain HTML fetch, 5 credits for a JS-rendered or Google Search call, 10 credits for premium residential, and 25 credits when you stack premium residential with JS rendering. New accounts get 1,000 free credits, and a pay-as-you-go option was added in late 2025 where PAYG credits do not expire.

Standout features are the dedicated SERP and e-commerce endpoints, simple REST integration (a single GET request works from Python requests, Node fetch, Scrapy middleware, Playwright as an upstream, or n8n's HTTP node), and a flat learning curve. The Google Search Scraper has become Scrapingdog's flagship product and is often benchmarked head-to-head against SerpAPI and Serper, generally landing at a lower per-1k-request cost. Support is responsive over email and live chat on weekdays, and the documentation is one of the cleaner ones in this category.

Scrapingdog is the right pick if you are a startup, indie hacker, or growth team running scraping workloads in the $40–$500/month range and you want one API for SERP data, Amazon prices, and general HTML scraping without negotiating a contract. It is also a sensible choice if you are migrating off a more expensive scraping API like ZenRows, ScraperAPI, or Bright Data's Web Unlocker and want similar functionality at a lower bill. It is not the right pick if you need raw rotating residential proxy access for sneaker bots, multi-accounting browsers, or anti-detect setups — Scrapingdog does not sell GB-priced residential proxies you can plug into a custom client.

Worth knowing before you commit: unused monthly credits do not roll over on subscription plans (PAYG credits do), broad-target coverage outside of the supported sites can be patchy, and concurrency is capped per plan tier, which becomes a real bottleneck above the Pro level. The 99%+ success rate is genuine for Google, Amazon, and the other named targets, but expect lower numbers on long-tail sites with aggressive bot defenses.