Scrapingdog helps developers, AI trainers, SEO monitors, and data analysts effortlessly extract data from websites. It overcomes challenges like blocked requests through rotating proxies, headless browsers, and CAPTCHAs, delivering parsed JSON data via dedicated APIs.
Scrapingdog is a web scraping API built for developers and data professionals who need to extract structured data from websites without getting blocked. It handles the heavy lifting of proxy rotation, headless browser rendering, and CAPTCHA solving, so users can focus on building products rather than managing scraping infrastructure. The tool is positioned as a reliable, scalable solution for teams that need to collect data from JavaScript-heavy sites, search engines, social platforms, and e-commerce stores.
What sets Scrapingdog apart is its combination of real browser rendering and a massive pool of 40 million rotating proxies. This allows it to handle even the most anti-bot-resistant websites, delivering clean JSON or Markdown output. The service also offers dedicated APIs for specific sources like Google SERP, Google News, Google Maps, Amazon, Walmart, and LinkedIn, making it a versatile choice for a wide range of data extraction tasks. Users consistently report a 100% API success rate, which speaks to the reliability of its infrastructure.
Pricing is credit-based and starts at $40 per month for the Lite plan, which includes 200,000 credits, 5 concurrent requests, and geotargeting. The Standard plan ($90/mo) bumps that to 1 million credits and 50 concurrency, while the Pro ($200/mo) and Premium ($350/mo) tiers offer 3 million and 6 million credits respectively, along with priority support and team management. A 30-day free trial with 1,000 credits is available without requiring a credit card, making it easy to evaluate the API's performance.
Scrapingdog is best suited for developers, AI trainers, SEO specialists, and data analysts who are comfortable working with APIs. It is not a no-code tool, so some programming knowledge is required to integrate the API into existing workflows. However, the documentation is thorough, with code examples in Python, JavaScript, PHP, Java, Go, Ruby, and C#, which lowers the barrier to entry for technical teams. The tool fits naturally into a GTM tech stack, feeding fresh web data into CRMs, analytics platforms, or AI training pipelines.
For use cases like price monitoring, lead generation, SEO tracking, and AI model training, Scrapingdog delivers consistent, blockage-free results. Its dedicated APIs for search engines and e-commerce sites make it particularly strong for competitive intelligence and market research. The main trade-off is that lower-tier plans limit concurrency and support, so teams with high-volume needs will want to budget for the Pro or Premium tiers.
Overall, Scrapingdog is a solid choice for any organization that needs dependable, scalable web scraping without the overhead of managing proxies and browsers. Its combination of real browser rendering, extensive proxy network, and dedicated APIs gives it an edge over simpler scraping tools. For developers who value reliability and ease of integration, Scrapingdog is well worth the trial.
Features
- Real browser rendering for JavaScript-heavy pages
- Built-in CAPTCHA solving
- Parsed JSON and Markdown data output
- 40M+ rotating proxies included
- Dedicated APIs for Google SERP, News, Maps, Amazon, Walmart, LinkedIn
- Automatic anti-bot handling
Pricing
Pros
- 100% API success rate reported by users
- Affordable pricing with a free 30-day trial
- Reliable blockage-free scraping with real browser rendering
- Easy to start with 1,000 free credits
Cons
- Requires API knowledge; not a no-code tool
- Lower-tier plans have limited concurrency and no email support
Best For
Developers and data teams needing reliable, blockage-free web scraping at scale.