Genshin Proxy

The most convenient way is to use online proxy checkers, i.e. services that test all connection capabilities, including supported protocols. For example, Hidemy.name or Securitylab. As for applications, you can recommend SocksChain or Open Proxy Checker.

If you're encountering issues with parsing escaped backslashes in JSON, it's important to understand how JSON handles escape characters. In JSON, a backslash (\) is an escape character, and certain characters must be escaped to represent them in strings.

If you're working with a string that includes escaped backslashes and you want to properly parse it, make sure the JSON string itself is correctly formatted. Below is a general guide on how to handle escaped backslashes in JSON parsing:

1. Correct JSON Format:

Ensure that the JSON string is correctly formatted, and the backslashes are properly escaped. For example:

{
  "path": "C:\\Program Files\\Example"
}

In this example, the backslashes in the path are escaped with an additional backslash.

2. JSON Unmarshalling in Go:

If you're working with JSON parsing in Go (Golang), use the encoding/json package to unmarshal the JSON data into a Go struct.

Example:

package main

import (
	"encoding/json"
	"fmt"
)

type MyStruct struct {
	Path string `json:"path"`
}

func main() {
	jsonData := `{"path": "C:\\Program Files\\Example"}`

	var myStruct MyStruct
	err := json.Unmarshal([]byte(jsonData), &myStruct)
	if err != nil {
		fmt.Println("Error:", err)
		return
	}

	fmt.Println("Path:", myStruct.Path)
}

In this example, the backslashes in the JSON string are properly escaped, and the json.Unmarshal function is used to parse the JSON into a Go struct.

3. Manual Handling:

If you're working with JSON data in another language or context, make sure your JSON parser correctly handles escape characters. Some JSON parsers automatically handle escape characters, while others may require manual handling.

To find the address of a proxy, you can follow these steps:

1. Use a proxy list: There are several websites that maintain lists of public proxies with their addresses and other details. Some popular proxy lists include proxy-list.org, proxy-list.net, and freeproxylist.ru. Keep in mind that using free proxies can be risky, as they might be slow, unreliable, or insecure.

2. Browser extensions or plugins: Some browser extensions or plugins can help you find and test proxies. For example, the "Proxy SwitchyOmega" extension for Google Chrome or Mozilla Firefox can automatically detect and test proxies from a list. You can find and install the extension from the Chrome Web Store or Firefox Add-ons website.

3. Proxy scanner tools: There are various online proxy scanner tools that can help you find and test proxies. Some popular proxy scanner tools include "Proxy-Check.com," "Proxy-Checker.org," and "ProxyScanner.io." These tools can provide you with a list of working proxies that you can use for your purposes.

4. Use a VPN service: If you need a reliable and secure proxy, consider using a VPN service. VPNs provide encrypted connections and can help you bypass geographical restrictions, access blocked content, and protect your privacy. Some popular VPN services include ExpressVPN, NordVPN, and FineVPN. Keep in mind that using a VPN may come with additional costs, but it can be a more secure and reliable option compared to free proxies.

When creating a Scrapy project in a Docker container, the project files are often placed in the /usr/src/app directory by default. This is a common practice in Docker images for Python projects to keep the source code organized.

Here's a simple example of creating a Scrapy project within a Docker container:

Create a Dockerfile:
Create a file named Dockerfile with the following content:

FROM python:3.8

# Set the working directory
WORKDIR /usr/src/app

# Install dependencies
RUN pip install scrapy

# Create a Scrapy project
RUN scrapy startproject myproject

# Set the working directory to the Scrapy project
WORKDIR /usr/src/app/myproject

Build and Run the Docker Image:
Build the Docker image and run a container:

docker build -t scrapy-container .
docker run -it scrapy-container

This will create a Docker image with Scrapy installed and a new Scrapy project named myproject in the /usr/src/app directory.

Check Project Directory:
When you are inside the container, you can check the contents of the /usr/src/app directory using the ls command:

ls /usr/src/app

You should see the myproject directory among the listed items.

By setting the working directory to /usr/src/app and using it as the base directory for the Scrapy project, it helps keep the project files organized within the container. You can modify the Dockerfile according to your project structure and requirements.

You need to go to "Settings", under "Sharing" select "VPN". And there you can either enter the connection parameters manually (address, port number, username and password), or choose a program that automatically connects the user to the proxy (free applications of this type can be found in Google Play).