

Convert any cURL command into C# code using HttpClient — the standard HTTP client in .NET, available everywhere from .NET Framework 4.5 up through the latest .NET 8. No third-party package required, and the snippet uses async/await throughout, matching the patterns used in modern ASP.NET and console apps.
Headers, query parameters, JSON bodies, urlencoded form data, basic auth and bearer tokens from your cURL command are written into an HttpRequestMessage and sent via HttpClient.SendAsync. Responses use EnsureSuccessStatusCode and ReadAsStringAsync, the conventional .NET pattern.
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Convert cURL commands into clean, production-ready code for any programming language. Our tool automatically parses headers, methods, data payloads, and authentication from your cURL commands and generates equivalent code with perfect syntax.
Perfect for developers who work with APIs, need to convert browser network panel exports, or want to quickly prototype API integrations. Instead of manually translating cURL commands, get instant, accurate code that follows language best practices and includes proper error handling.
Use the converted code with Scrappey's API for reliable web scraping on JavaScript-heavy and modern websites. All conversions happen instantly with no registration required and complete privacy protection.

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Convert cURL commands to code in seconds. No waiting, no delays - just instant results with perfect syntax.
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Automatically parses headers, methods, data payloads, and authentication from complex cURL commands.
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The C# output uses a single HttpClient instance with HttpRequestMessage — Method, RequestUri, Headers and Content map one-to-one from the cURL flags. JSON bodies use new StringContent(json, Encoding.UTF8, "application/json"), urlencoded bodies use FormUrlEncodedContent, and multipart uploads use MultipartFormDataContent. The snippet shows HttpClient as a static field — never per-request — to avoid socket exhaustion (the canonical .NET pitfall). Deserialization uses System.Text.Json.JsonSerializer.
Realistic GET + POST with headers and a JSON body, written using System.Net.Http.HttpClient.
using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
class Example {
private static readonly HttpClient client = new HttpClient {
Timeout = TimeSpan.FromSeconds(30)
};
static async Task Main() {
// GET with headers and query params
var getReq = new HttpRequestMessage(HttpMethod.Get,
"https://api.example.com/users?page=1&limit=50");
getReq.Headers.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_TOKEN");
getReq.Headers.UserAgent.ParseAdd("MyApp/1.0");
var getResp = await client.SendAsync(getReq);
getResp.EnsureSuccessStatusCode();
Console.WriteLine(await getResp.Content.ReadAsStringAsync());
// POST with JSON body
var json = "{\"name\":\"Ada Lovelace\",\"email\":\"[email protected]\"}";
var postReq = new HttpRequestMessage(HttpMethod.Post, "https://api.example.com/users") {
Content = new StringContent(json, Encoding.UTF8, "application/json")
};
postReq.Headers.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_TOKEN");
var postResp = await client.SendAsync(postReq);
Console.WriteLine((int)postResp.StatusCode);
}
}Yes. POST, PUT, PATCH and DELETE all work. The converter reads -X, --data, --data-raw, --data-binary, --data-urlencode and -F (multipart) and translates each into the right call shape — JSON bodies become language-native objects, urlencoded bodies become key/value pairs, and multipart bodies use the language's standard form-data approach.
Use HttpClientHandler with UseCookies = true (the default) and a shared CookieContainer — the handler will store Set-Cookie responses and send Cookie headers on subsequent requests automatically. Pass the handler to the HttpClient constructor. If your cURL command sets cookies via -b or -H "Cookie: ...", the converter writes them into the C# request headers verbatim. For session-style flows where cookies persist across requests, use a session object (see the example above) so the library tracks Set-Cookie responses automatically.
Yes. The generated C# snippet keeps your request structure intact, so adding a proxy is straightforward — set the standard proxy parameter for the library shown in the output. If you need rotating residential or datacenter proxies to bypass blocking, route the request through Scrappey instead of calling the target directly. With HttpClient, build an HttpClientHandler with Proxy = new WebProxy("http://host:port") and UseProxy = true, then pass it to the HttpClient constructor.
No — that is the most common .NET mistake. Reuse a single static HttpClient (or use IHttpClientFactory in ASP.NET Core). Creating one per request exhausts the OS socket pool under load. The snippet above uses a static field for this reason.
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Scrappey.com provides a web scraping API that allows you to send requests to extract publicly available data from websites. It handles dynamic content and modern website complexity, including rotating proxies, advanced request handling, and verification processing. You can easily extract publicly available data from websites using their built-in features like headless browsers and AI-powered data extraction.
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We only charge for successful requests. Failed requests are not counted towards your usage, so you only pay for what works.
No problem, you can pass any JavaScript snippet that needs to be executed by using our JavaScript scenario parameter. This allows you to interact with dynamic content, scroll pages, click buttons, wait for elements, and perform any custom JavaScript actions before extracting the data.
Scrappey.com offers simple and transparent pricing: €0.20 per 1,000 direct HTTP requests and €1.00 per 1,000 full-browser requests. Residential proxies are included on both tiers — no separate proxy billing, no hidden fees, no complicated pricing tiers. You only pay for successful requests.
Scrappey.com provides scalable access for extracting publicly available data. Whether you need to extract data from a few pages or a large dataset of publicly accessible content, you can do so with flexible usage options. Please note that Scrappey.com only supports scraping publicly available data, and users must comply with applicable laws and website terms of service.
Scrappey.com provides various support channels for assistance. You can refer to their documentation, frequently asked questions section, blog, and uptime status page. Additionally, you can get in touch with them via email or join their Discord community for further support.
We don't create custom scraping scripts, however we will gladly write some code snippets helping you to use our most powerful features: AI-powered data extraction and JavaScript scenario. Our documentation includes examples in multiple programming languages to get you started quickly.
Each API call to Scrappey counts as one request. Our pricing is based on successful requests. By default, JavaScript rendering is enabled, which allows you to extract data from modern websites with dynamic content. All features including proxies, CAPTCHA solving, and advanced web access handling are included in each request.
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