ScrapySharp
is a web scraping framework for .NET inspired by the Scrapy framework in Python. It is designed to provide a simple way to extract data from websites by using CSS selectors and LINQ.
ScrapySharp
does not provide built-in proxy support in the same way that Scrapy in Python does. In Python's Scrapy, proxy settings can be defined in the settings file or by using middlewares. However, in ScrapySharp
, you would have to manage proxies at the HttpClientHandler
level since ScrapySharp
generally uses HttpClient
for making HTTP requests.
Here's a basic example of how you can use a proxy with HttpClientHandler
which would be used alongside ScrapySharp
:
using System;
using System.Net;
using System.Net.Http;
using ScrapySharp.Network;
class Program
{
static void Main()
{
var proxy = new WebProxy
{
Address = new Uri($"http://{proxyIp}:{proxyPort}"),
BypassProxyOnLocal = false,
UseDefaultCredentials = false,
// *** These credentials are given by the proxy service
Credentials = new NetworkCredential(
userName: proxyUsername,
password: proxyPassword)
};
var httpClientHandler = new HttpClientHandler
{
Proxy = proxy,
};
var httpClient = new HttpClient(httpClientHandler);
var webPage = new ScrapingBrowser
{
// Set the HttpClient instance
HttpClient = httpClient
};
// Now you can use webPage to navigate and scrape as needed
WebPage pageResult = webPage.NavigateToPage(new Uri("http://example.com"));
Console.WriteLine(pageResult.Html);
}
}
In this example, an HttpClientHandler
is configured with a proxy, and then an instance of HttpClient
is created using this handler. The HttpClient
is then assigned to a ScrapingBrowser
instance, which is the main class you use in ScrapySharp
for web scraping.
Please note that you will need to replace proxyIp
, proxyPort
, proxyUsername
, and proxyPassword
with the actual details provided by your proxy service.
Also, keep in mind that this is a simplified example. In a production environment, you would want to handle errors, manage timeouts, and possibly rotate proxies if you're doing large-scale scraping to avoid IP bans.
If you're doing serious web scraping and require advanced features like built-in proxy support, middlewares for request processing, or other sophisticated mechanisms for handling requests, you might want to consider using a different toolkit or language that has more mature web scraping libraries, such as Scrapy in Python.