Scrapingdog

Summary

Scrapingdog is a web scraping API that handles proxies, headless browsers, and CAPTCHA solving so you can extract web data without managing infrastructure. Built for teams that need large-scale data extraction.

What is Scrapingdog?

Scrapingdog provides a general-purpose web scraping API and dedicated APIs (Google, Amazon, LinkedIn, Walmart) that convert web pages into JSON or Markdown. The platform automatically manages JavaScript rendering, 40M+ rotating proxies, CAPTCHA solving, and geotargeting, letting you focus on data application instead of anti-bot countermeasures. Credit-based billing charges only for successful requests.

Core Capabilities

• Headless Chrome rendering: Fully loads JavaScript and lazy-loaded content
• 40M+ global proxy pool: Rotates IPs to avoid rate limits
• Automatic CAPTCHA solving: No manual intervention required
• Dedicated APIs: Google Search, Amazon, LinkedIn, Walmart with parsed JSON output
• LLM-ready output: Converts pages to Markdown or JSON for model training
• Geotargeting: Send requests by country or region
• Credit-based billing: Charges only for successful requests

Pros

• 40M+ proxy pool and built-in CAPTCHA solving deliver high success rates
• Dedicated APIs output parsed JSON, eliminating HTML parsing work
• 1,000 free credits trial with no credit card required
• Supports high concurrency (up to 2,200 concurrent requests)
• Failed requests do not consume credits

Cons

• Pricing is credit-based; different APIs consume different credits per request (e.g., Google Search API costs 5 credits per call)
• One-time credits expire at the end of the current subscription cycle
• Entry plan (Lite) offers only 5 concurrency, unsuitable for large-scale real-time extraction
• Documentation does not detail credit consumption for all dedicated APIs

Decision Guidance

Use when: You need large-scale extraction from e-commerce, search engines, or social platforms and want to avoid managing proxies and anti-bot mechanisms; you're training AI models and need clean Markdown/JSON data.

Consider alternatives: If you only need small-scale extraction or already have proxy infrastructure, a self-built solution may be more economical; if you need real-time data on a tight budget, carefully evaluate credit consumption rates.