IP | Country | PORT | ADDED |
---|---|---|---|
194.182.163.117 | ch | 3128 | 46 minutes ago |
50.168.72.115 | us | 80 | 46 minutes ago |
190.58.248.86 | tt | 80 | 46 minutes ago |
50.217.226.47 | us | 80 | 46 minutes ago |
103.216.49.233 | kh | 8080 | 46 minutes ago |
211.128.96.206 | 80 | 46 minutes ago | |
122.151.54.147 | au | 80 | 46 minutes ago |
50.223.246.237 | us | 80 | 46 minutes ago |
213.143.113.82 | at | 80 | 46 minutes ago |
50.174.7.152 | us | 80 | 46 minutes ago |
23.247.136.245 | sg | 80 | 46 minutes ago |
50.239.72.18 | us | 80 | 46 minutes ago |
185.10.129.14 | ru | 3128 | 46 minutes ago |
203.19.38.114 | cn | 1080 | 46 minutes ago |
50.175.212.74 | us | 80 | 46 minutes ago |
201.148.32.162 | 80 | 46 minutes ago | |
41.207.187.178 | tg | 80 | 46 minutes ago |
176.9.239.181 | de | 80 | 46 minutes ago |
50.168.72.118 | us | 80 | 46 minutes ago |
50.202.75.26 | us | 80 | 46 minutes ago |
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When parsing RSS feeds and avoiding duplicates, you typically need to maintain a record of previously parsed items and compare new items to this record to ensure that you don't process the same item multiple times. Below is an example using Node.js and the rss-parser library, which simplifies working with RSS feeds.
Install Dependencies
Install the required npm package:
npm install rss-parser
Write the Parsing Script
Create a Node.js script (e.g., parse_rss.js) with the following code:
const Parser = require('rss-parser');
const fs = require('fs');
const parser = new Parser();
const rssFeedUrl = 'https://example.com/rss-feed'; // Replace with the URL of the RSS feed
// Function to load and parse the previously processed items
function loadProcessedItems() {
try {
const data = fs.readFileSync('processedItems.json');
return JSON.parse(data);
} catch (error) {
return [];
}
}
// Function to save the processed items to a file
function saveProcessedItems(processedItems) {
fs.writeFileSync('processedItems.json', JSON.stringify(processedItems, null, 2));
}
async function parseRSS() {
const processedItems = loadProcessedItems();
const feed = await parser.parseURL(rssFeedUrl);
for (const item of feed.items) {
// Check if the item has been processed before
if (!processedItems.includes(item.link)) {
// Process the new item (replace with your processing logic)
console.log('New item found:', item.title);
// Add the item link to the list of processed items
processedItems.push(item.link);
}
}
// Save the updated list of processed items
saveProcessedItems(processedItems);
}
// Run the RSS parsing process
parseRSS();
Replace 'https://example.com/rss-feed' with the URL of the RSS feed you want to parse.
Run the Script
Run the script using Node.js:
node parse_rss.js
This script uses the rss-parser library to fetch and parse an RSS feed. It maintains a list of processed item links in a JSON file (processedItems.json). Each time the script runs, it loads the processed items, compares them to the new items in the feed, processes only the new items, and then updates the list of processed items.
You can use Selenium WebDriver to find out the URL of the active tab in the browser. Here's an example using Python with Selenium:
from selenium import webdriver
# Create a WebDriver instance (assuming Chrome in this example)
driver = webdriver.Chrome()
try:
# Navigate to a website
driver.get("https://www.example.com")
# Get the URL of the active tab
current_url = driver.current_url
print("URL of the active tab:", current_url)
# Perform other actions as needed
finally:
# Close the browser window
driver.quit()
In this example:
driver.get("https://www.example.com")
navigates to a specific website.driver.current_url
retrieves the URL of the currently active tab.Make sure to replace "https://www.example.com"
with the actual URL you want to navigate to.
Keep in mind that this method retrieves the URL of the currently active tab. If you have multiple tabs open and you want to switch between them, you can use the driver.window_handles
method to get a list of window handles and then switch to the desired window. For example:
# Open a new tab or window
driver.execute_script("window.open('about:blank', '_blank');")
# Switch to the newly opened tab
driver.switch_to.window(driver.window_handles[1])
# Get the URL of the active tab
new_tab_url = driver.current_url
print("URL of the new tab:", new_tab_url)
This code opens a new tab, switches to it, and then retrieves the URL of the new tab.
The tool that exists to run Selenium tests in headless mode is called "Headless Browsers". Headless browsers are browser automation tools that run without a graphical user interface (GUI). They are typically used for testing web applications without the need for a visible browser window. Some popular headless browsers include:
1. Chrome's Headless mode: Chrome's headless mode can be enabled by passing the --headless flag when launching a ChromeDriver instance.
2. Firefox's Headless mode: Firefox's headless mode can be enabled by passing the --headless flag when launching a GeckoDriver instance.
3. PhantomJS: PhantomJS is a headless browser that can be used with Selenium to run tests without a visible browser window.
4. Puppeteer: Puppeteer is a Node library that provides a high-level API to control Chrome or Chromium over the DevTools Protocol. It can be used to run tests in headless mode.
5. HtmlUnit: HtmlUnit is a headless browser that can be used with Selenium to run tests without a visible browser window.
It's important to note that the specific implementation of running Selenium tests in headless mode may vary depending on the browser and the version of the Selenium WebDriver being used.
Click on the three bars located in the upper right corner and click on "Settings". When the settings page appears in front of you, go down to the "System" section and click on "Proxy settings". In the window that appears, click on "Network settings" and then check the box next to "Use a proxy server for local connections". Now all you have to do is enter the IP address and port of the proxy server, and then save your changes.
Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.
What else…