IronWebScraper provides a modern, robust framework for web data extraction within the .NET ecosystem. By extending a single base class, developers can build crawlers that handle massive data volumes while maintaining "polite" server behavior through built-in request throttling and IP-level management. The engine simulates a "swarm" of virtual browsers, each capable of its own identity, session, and cookies, effectively bypassing simple anti-scraping measures.
Key Features:
High-Scale Scraping Engine: Extract data from millions of pages into C# objects, JSON, or files using parallel virtual browsers and polite request throttling.
Flexible Logic & Debugging: Handle diverse page types with ease using CSS selectors or XPath, with full support for step-through debugging in Visual Studio.
Asynchronous Performance: Maximizes speed with multithreaded, asynchronous requests while preventing server overloads via granular rate-limiting.
Virtual User Identities: Bypass anti-scraping measures by simulating unique users with dedicated user agents, cookies, logins, and custom IP addresses.
Fault Tolerance & Replay: Built-in autosave and advanced caching allow you to resume interrupted jobs or replay previous requests without data loss.
Universal .NET Compatibility: A single-DLL NuGet install supporting .NET 10–3.1 and Framework 4.0+ across Windows, Linux, macOS, Azure, and AWS.