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Ranjan Dailata
Ranjan Dailata

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Building SEO Automation in .NET with SERankingSharp

Introducing

If you’re building SEO automation tools in .NET, you’re going to love this new project named "SERankingSharp" - A strongly-typed, async-first C# library that wraps the SE Ranking Data API with clear models and comprehensive coverage.

Whether you need to pull competitor insights, analyze backlink profiles, audit site health, or research keywords, this SDK gives you everything you need in an idiomatic .NET package.


What is SERankingSharp?

SERankingSharp is a production-ready C# SDK that gives .NET developers easy, type-safe access to the SE Ranking API. It ships with:

  • Support for all ~85 API endpoints
  • Modular design with dedicated clients (Account, DomainAnalysis, Backlinks, SERP, & more)
  • Async/Await patterns throughout
  • Strongly typed request & response models
  • Built-in error handling & custom exceptions
  • JSON serialization using System.Text.Json
  • Supports .NET 8.0 and up

All of this is wrapped up in a clean, intuitive API that feels like a natural extension of modern .NET development.


Why You’ll Love It

Here’s what makes SERankingSharp a great choice for your next SEO project:

Complete API Coverage

Unlike minimal wrappers, this SDK implements every core endpoint of the SE Ranking Data API from account info to SERP tracking and AI search metrics.

Async First

Built with HttpClient and async patterns, it plays nicely with modern .NET apps, web APIs, console tools, or background services.

Strong Typing

Every response and request is strongly typed, which reduces runtime bugs and improves IntelliSense support in your editor.

Modular Architecture

Rather than one huge class, the SDK splits functionality into logical modules such as:

  • Account – Subscription & usage
  • Domain Analysis – Competitor insights & keyword trends
  • Keyword Research – Longtail & related keywords
  • Backlinks – Link profile metrics
  • Website Audit – Technical SEO checks
  • SERP – Search result tracking
  • AI Search – Visibility in AI-driven search engines

Quick Start

Here’s how to get rolling using the SDK:

  1. Clone the repo
   git clone https://github.com/ranjancse26/SERankingSharp.git
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  1. Build & reference the project
   dotnet add reference path/to/SERankingSharp/SERankingSharp.csproj
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Or build the DLL and reference it directly.

  1. Initialize and call the API
   using SERankingSharp;
   using System.Threading.Tasks;

   public class Program
   {
       public static async Task Main()
       {
           var client = new SERankingClient("YOUR_API_KEY");

           var balance = await client.Account.GetCreditBalanceAsync();
           Console.WriteLine($"Balance: {balance.Balance} / {balance.TotalLimit}");
       }
   }
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Just make sure you store your API key securely! (GitHub)


Authentication Made Easy

The SDK automatically adds your SE Ranking API key as a Bearer token in headers no manual header management needed.


Use Cases

Here are some powerful things you can build:

  • Crawl competitive domains and visualize keyword overlap
  • Generate keyword lists for targeted SEO campaigns
  • Monitor backlink growth and lost links
  • Track SERP positions over time
  • Surface AI Search brand insights

All with just a few lines of C# code.


Contributing & Building

Want to hack on the SDK or add more features? The project welcomes contributions:

  • Follow C# conventions
  • Add XML docs to public methods
  • Include usage examples
  • Keep async patterns consistent
  • Update README for new endpoints or modules

Check the GitHub repo for contribution guidelines.


Conclusion

If you’re working in SEO analytics or integrating SEO data into .NET apps, SERankingSharp is now one of the strongest C# options out there. With full coverage, clean architecture, and async support, it takes a lot of the complexity out of working with SEO APIs.

Explore the project on GitHub: https://github.com/ranjancse26/SERankingSharp (GitHub)


Top comments (1)

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verify_backlinks profile image
Ross – VerifyBacklinks

Nice project. One thing I’ve seen in SEO automation is that most workflows stop at API-level data retrieval.
Curious how you handle validation beyond discovery especially for backlinks.
Pulling link data is one layer, but verifying the live URL state (indexability, canonical, robots, response stability) is a very different problem.