IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.243 | us | 80 | 33 minutes ago |
115.22.22.109 | kr | 80 | 33 minutes ago |
50.174.7.152 | us | 80 | 33 minutes ago |
50.171.122.27 | us | 80 | 33 minutes ago |
50.174.7.162 | us | 80 | 33 minutes ago |
47.243.114.192 | hk | 8180 | 33 minutes ago |
72.10.160.91 | ca | 29605 | 33 minutes ago |
218.252.231.17 | hk | 80 | 33 minutes ago |
62.99.138.162 | at | 80 | 33 minutes ago |
50.217.226.41 | us | 80 | 33 minutes ago |
50.174.7.159 | us | 80 | 33 minutes ago |
190.108.84.168 | pe | 4145 | 33 minutes ago |
50.169.37.50 | us | 80 | 33 minutes ago |
50.223.246.238 | us | 80 | 33 minutes ago |
50.223.246.239 | us | 80 | 33 minutes ago |
50.168.72.116 | us | 80 | 33 minutes ago |
72.10.160.174 | ca | 3989 | 33 minutes ago |
72.10.160.173 | ca | 32677 | 33 minutes ago |
159.203.61.169 | ca | 8080 | 33 minutes ago |
209.97.150.167 | us | 3128 | 33 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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A proxy for Instagram may be needed in the case when it comes to promoting two or more pages in this popular network. Otherwise, blocking on a permanent or temporary basis of all existing accounts will immediately follow. Proxy servers not only allow you to secure your accounts, but also protect against network attacks, increase the speed of data access, transform data to reduce the memory footprint of the device.
When using BeautifulSoup in Python to parse HTML or XML with identical tags, you can use various methods to extract the desired information. One common approach is to use the find_all method along with additional criteria to narrow down the selection.
Here's an example of how you can parse identical tags with BeautifulSoup:
from bs4 import BeautifulSoup
html_content = """
First paragraph
Second paragraph
Third paragraph
"""
soup = BeautifulSoup(html_content, 'html.parser')
# Find all paragraphs within the div with class="example"
div_example = soup.find('div', class_='example')
if div_example:
paragraphs = div_example.find_all('p')
# Print the text content of each paragraph
for paragraph in paragraphs:
print(paragraph.text)
else:
print("Div with class='example' not found.")
In this example, find is used to locate the div with class "example," and then find_all is used to retrieve all paragraph tags within that div. The text content of each paragraph is then printed.
You can adapt this approach to your specific HTML or XML structure. If the identical tags are nested within a specific parent element, use that parent element as a starting point for your search.
Keep in mind that identifying the elements you want to extract may involve inspecting the HTML structure and adapting your code accordingly.
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:
The proxy settings in Zoom are configured through the regular Windows settings. To do this, you can use the command inetcpl.cpl in "Run". Next, you need to go to the "Connection" tab, click on "Network Setup". In the dialog box that opens, select "Proxy server" and set the required parameters. As a port, you can use 80 and 443.
What else…