IP | Country | PORT | ADDED |
---|---|---|---|
24.249.199.12 | us | 4145 | 11 minutes ago |
190.104.8.142 | bo | 14888 | 11 minutes ago |
128.140.113.110 | de | 4145 | 11 minutes ago |
154.65.39.7 | sn | 80 | 11 minutes ago |
168.126.68.80 | kr | 80 | 11 minutes ago |
221.231.13.198 | cn | 1080 | 11 minutes ago |
61.245.27.146 | ph | 8081 | 11 minutes ago |
128.199.202.122 | sg | 80 | 11 minutes ago |
87.248.129.26 | ae | 80 | 11 minutes ago |
46.146.220.177 | ru | 1080 | 11 minutes ago |
159.203.61.169 | ca | 8080 | 11 minutes ago |
46.47.197.210 | ru | 3128 | 11 minutes ago |
41.230.216.70 | tn | 80 | 11 minutes ago |
182.253.158.140 | id | 1080 | 11 minutes ago |
122.116.29.68 | 4145 | 11 minutes ago | |
208.65.90.3 | us | 4145 | 11 minutes ago |
154.65.39.8 | sn | 80 | 11 minutes ago |
50.218.208.8 | us | 80 | 11 minutes ago |
64.202.184.249 | us | 6282 | 11 minutes ago |
213.157.6.50 | de | 80 | 11 minutes ago |
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When scraping a dynamic list where the content is loaded dynamically, you often need to use a web scraping library that supports interaction with JavaScript or a headless browser. The selenium library is a popular choice for this task.
Below is an example of scraping a dynamic list from a website using Python with selenium. In this example, the list items are loaded dynamically through JavaScript, and we'll use selenium to interact with the page.
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
# Replace 'your_url' with the actual URL of the page
url = 'your_url'
# Initialize the webdriver (you may need to download the appropriate webdriver for your browser)
driver = webdriver.Chrome()
# Open the webpage
driver.get(url)
# Use WebDriverWait to wait for the dynamic content to load
try:
# Adjust the timeout and conditions based on your webpage's behavior
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.XPATH, '//div[@class="your-list-item-class"]'))
)
# Extract the list items using XPath (adjust the XPath based on your HTML structure)
list_items = driver.find_elements(By.XPATH, '//div[@class="your-list-item-class"]')
# Process the list items
for index, item in enumerate(list_items):
print(f"Item {index + 1}: {item.text}")
finally:
# Close the browser window
driver.quit()
In this example:
'your_url'
with the actual URL of the page you want to scrape.driver.find_elements
based on the structure of your HTML. This XPath should point to the dynamic list items.Remember to install the selenium
library (pip install selenium
) and download the appropriate WebDriver (e.g., ChromeDriver) for your browser.
There are several ways to speed up a program on Selenium. Here are some tips:
1. Use a faster browser: Some browsers are faster than others. For example, Chrome is generally faster than Firefox. If you're not already using the fastest browser available, consider switching.
2. Use a faster machine: The speed of your program will also depend on the speed of your machine. If possible, try running your program on a faster machine.
3. Optimize your code: There are many ways to optimize your code to make it run faster. For example, you can use the PageFactory pattern to reduce the time it takes to find elements on a page. You can also use Explicit Waits instead of Implicit Waits to reduce the time your program spends waiting for elements to become available.
4. Use parallel testing: If you have multiple test cases that can be run independently, consider using parallel testing to run them simultaneously. This can greatly speed up your testing process.
5. Use a faster network: If you're running your tests on a remote server, the speed of your network connection can also affect the speed of your program. Consider using a faster network connection if possible.
6. Optimize your test data: If you're using large amounts of test data, consider optimizing it to reduce the time it takes to load and process.
7. Use a faster Selenium grid: If you're using a Selenium grid to run your tests, consider using a faster grid. There are several commercial options available that offer faster grids.
8. Upgrade your Selenium version: If you're using an older version of Selenium, consider upgrading to the latest version. Newer versions often include performance improvements that can speed up your program.
9. Use a faster language: If you're using a slower programming language, consider switching to a faster one. For example, Java is generally faster than Python for Selenium testing.
10. Profile your code: Use a profiling tool to identify the parts of your code that are taking the longest to run. Focus on optimizing these areas to speed up your program.
To enable STL 1.0 and 1.1 support in the latest Firefox via Selenium, you can set the stlVersion preference in FirefoxOptions. Here's an example of how to do this:
First, import the necessary libraries:
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
Create a FirefoxOptions instance and set the stlVersion preference:
options = Options()
options.set_preference("services.stl.version", "1.1")
Initialize the WebDriver with the FirefoxOptions instance:
driver = webdriver.Firefox(options=options)
Use the WebDriver as usual:
driver.get('https://example.com')
# Perform actions on the web page
# ...
driver.quit()
By setting the services.stl.version preference to "1.1", you enable STL 1.1 support in the latest Firefox via Selenium. Note that the exact preference value may change depending on the Firefox version. You can check the Firefox release notes or source code for the latest information.
Technically, a proxy is an ordinary computer or server connected to a network (local or Internet). It accepts traffic from the user, redirects it to the address that was specified in the request. And then receives the response from the server and transmits it to the user's equipment. That is, it is actually an intermediary.
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.
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