IP | Country | PORT | ADDED |
---|---|---|---|
50.174.7.159 | us | 80 | 21 minutes ago |
50.171.187.51 | us | 80 | 21 minutes ago |
50.172.150.134 | us | 80 | 21 minutes ago |
50.223.246.238 | us | 80 | 21 minutes ago |
67.43.228.250 | ca | 16555 | 21 minutes ago |
203.99.240.179 | jp | 80 | 21 minutes ago |
50.219.249.61 | us | 80 | 21 minutes ago |
203.99.240.182 | jp | 80 | 21 minutes ago |
50.171.187.50 | us | 80 | 21 minutes ago |
62.99.138.162 | at | 80 | 21 minutes ago |
50.217.226.47 | us | 80 | 21 minutes ago |
50.174.7.158 | us | 80 | 21 minutes ago |
50.221.74.130 | us | 80 | 21 minutes ago |
50.232.104.86 | us | 80 | 21 minutes ago |
212.69.125.33 | ru | 80 | 21 minutes ago |
50.223.246.237 | us | 80 | 21 minutes ago |
188.40.59.208 | de | 3128 | 21 minutes ago |
50.169.37.50 | us | 80 | 21 minutes ago |
50.114.33.143 | kh | 8080 | 21 minutes ago |
50.174.7.155 | us | 80 | 21 minutes ago |
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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:
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.
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.
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.
Scraping a large number of web pages using JavaScript typically involves the use of a headless browser or a scraping library. Puppeteer is a popular headless browser library for Node.js that allows you to automate browser actions, including web scraping.
Here's a basic example using Puppeteer:
Install Puppeteer:
npm install puppeteer
Create a JavaScript script for web scraping:
const puppeteer = require('puppeteer');
async function scrapeWebPages() {
const browser = await puppeteer.launch();
const page = await browser.newPage();
// Array of URLs to scrape
const urls = ['https://example.com/page1', 'https://example.com/page2', /* add more URLs */];
for (const url of urls) {
await page.goto(url, { waitUntil: 'domcontentloaded' });
// Perform scraping actions here
const title = await page.title();
console.log(`Title of ${url}: ${title}`);
// You can extract other information as needed
// Add a delay to avoid being blocked (customize the delay based on your needs)
await page.waitForTimeout(1000);
}
await browser.close();
}
scrapeWebPages();
Run the script:
node your-script.js
In this example:
urls
array contains the list of web pages to scrape. You can extend this array with the URLs you need.page.title()
.Keep in mind the following:
Working with dynamically loaded buttons and forms on a webpage in Selenium can be challenging, as these elements may not be present when the page initially loads. To interact with these elements, you'll need to wait for them to become available.
You can use the following strategies to work with dynamically loaded elements in Selenium:
Explicit waits:
Explicit waits allow you to wait for a specific element to become available before interacting with it. This can be useful when working with dynamically loaded elements, as you can wait for the element to appear, become clickable, or disappear.
Here's an example using Python:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Chrome()
driver.get('your_url')
# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = WebDriverWait(driver, 10).until(
EC.element_to_be_clickable((By.ID, 'dynamic_button_id'))
)
dynamic_button.click()
# Rest of your code
driver.quit()
In this example, we use the WebDriverWait class to wait for the dynamic_button_id element to become clickable. The element_to_be_clickable() method takes a tuple containing the locator strategy and the element's identifier. The 10 parameter specifies the maximum amount of time to wait for the element, in seconds.
1. Implicit waits:
Implicit waits set a global timeout for the WebDriver to wait for elements to become available before throwing a NoSuchElementException. While implicit waits can be useful for some scenarios, they are not recommended for waiting for elements to become clickable, as they can lead to unexpected behavior.
2. Polling:
Polling is a technique where you repeatedly check for the presence of an element at a specific interval. This can be done using a loop and the WebDriverWait class. However, polling can be inefficient and may not be the best solution for waiting for elements to become available.
3. JavaScript execution:
In some cases, you may need to use JavaScript to interact with dynamically loaded elements. You can use the execute_script() method to run JavaScript code that interacts with the webpage.
Here's an example of using JavaScript to click a dynamic button:
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
driver.get('your_url')
# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = driver.find_element(By.ID, 'dynamic_button_id')
driver.execute_script("arguments[0].click();", dynamic_button)
# Rest of your code
driver.quit()
In this example, we use the execute_script() method to run a JavaScript code that clicks the dynamic_button_id element.
When working with dynamically loaded elements, it's essential to use the appropriate waiting strategy to ensure that your code interacts with the elements only when they are available and in the correct state.
To create your own proxy server, you can use open-source software such as Privoxy or Squid. Here's a step-by-step guide using Privoxy:
Install Privoxy: Download the latest version of Privoxy from the official website (https://www.privoxy.org/download/) and install it on your computer. The installation process varies depending on your operating system.
Configure Privoxy: After installing Privoxy, open the configuration file, usually located at /etc/privoxy/config.txt on Linux or C:\Program Files\Privoxy\config\config.txt on Windows. You can also find the configuration file in the installation directory.
Edit the configuration file: Open the configuration file in a text editor and make the following changes:
Uncomment the following line by removing the # symbol at the beginning:
listen-address 0.0.0.0
Uncomment the following line and change the port number if desired (e.g., 8118):
listen-port 8118
Uncomment the following line to enable HTTPS support:
forward-suffix .privoxy
Add the following line to forward requests to a specific destination server (replace
forward-suffix
Save the configuration file and restart Privoxy: Close the text editor and restart Privoxy to apply the changes. On Linux, you can use the following command:
sudo /etc/init.d/privoxy restart
On Windows, locate the Privoxy service in the Windows Services list and restart it.
Test your proxy server: Open a web browser and configure it to use your new proxy server (e.g., http://localhost:8118). Test by accessing a website to ensure that the proxy server is working correctly.
To check a proxy for blacklisting, it is necessary to use special tools developed for this purpose. Many proxy-checkers provide free online IP-address verification and provide detailed information related to the proxy servers security. To get it, just enter the IP address of the proxy and click on the "Verify" button.
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