IP | Country | PORT | ADDED |
---|---|---|---|
27.109.215.216 | mo | 80 | 38 minutes ago |
194.182.163.117 | ch | 3128 | 38 minutes ago |
103.118.47.243 | kh | 8080 | 38 minutes ago |
103.118.46.61 | kh | 8080 | 38 minutes ago |
188.40.59.208 | de | 3128 | 38 minutes ago |
220.248.70.237 | cn | 9002 | 38 minutes ago |
143.42.66.91 | sg | 80 | 38 minutes ago |
203.99.240.179 | jp | 80 | 38 minutes ago |
213.143.113.82 | at | 80 | 38 minutes ago |
102.165.58.218 | kh | 8080 | 38 minutes ago |
62.99.138.162 | at | 80 | 38 minutes ago |
203.99.240.182 | jp | 80 | 38 minutes ago |
41.230.216.70 | tn | 80 | 38 minutes ago |
103.216.50.11 | kh | 8080 | 38 minutes ago |
154.236.177.101 | eg | 1977 | 38 minutes ago |
103.63.190.107 | kh | 8080 | 38 minutes ago |
128.140.113.110 | de | 5678 | 38 minutes ago |
91.241.217.58 | ua | 9090 | 38 minutes ago |
103.118.46.176 | kh | 8080 | 38 minutes ago |
89.145.162.81 | de | 1080 | 38 minutes ago |
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Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.
Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:
import urllib.request
def scrape_website(url):
try:
# Make an HTTP request
response = urllib.request.urlopen(url)
# Read the HTML content
html_content = response.read().decode('utf-8')
# Extract the title using string manipulation
title_start = html_content.find('') + len('')
title_end = html_content.find(' ', title_start)
title = html_content[title_start:title_end].strip()
return title
except Exception as e:
print(f"Error: {e}")
return None
# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)
if scraped_title:
print(f"Scraped title: {scraped_title}")
else:
print("Scraping failed.")
Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.
Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.
To reduce the resource consumption of Selenium with Google Chrome, you can try the following methods:
1. Use ChromeOptions:
You can use the ChromeOptions class to configure ChromeDriver settings that can help reduce resource consumption. For example, you can set the window size to a smaller value or disable certain features like animations and extensions.
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
chrome_options = Options()
chrome_options.add_argument("--start-maximized")
chrome_options.add_argument("--disable-extensions")
chrome_options.add_argument("--disable-gpu")
chrome_options.add_argument("--headless")
driver = webdriver.Chrome(options=chrome_options)
driver.get('your_url')
# Rest of your code
driver.quit()
2. Use a headless browser:
A headless browser is a browser that runs without a graphical user interface (GUI). Running a headless browser can reduce resource consumption, as it doesn't require rendering a visual interface. You can enable headless mode by adding the --headless argument to the ChromeOptions.
3. Limit the number of concurrent instances:
If you're running multiple instances of Selenium with ChromeDriver, consider limiting the number of concurrent instances to avoid overloading your system resources.
4. Use a lighter browser:
Consider using a lighter browser like Firefox or Edge instead of Google Chrome. These browsers generally consume fewer resources than Chrome, and you can still use Selenium with them.
5. Close unnecessary browser tabs:
Close any unnecessary browser tabs or windows to free up system resources.
6. Optimize your code:
Review your Selenium code to identify and remove any unnecessary or inefficient operations that may be consuming resources. For example, avoid using excessive loops, and use explicit waits instead of implicit waits.
Remember that the specific resource consumption of Selenium with Google Chrome depends on various factors, including the complexity of the web pages you're testing, the number of elements on the page, and the performance of your system. Experiment with the above methods to find the best combination for your needs.
To simulate the Ctrl+V keyboard shortcut using Selenium in Python, you can send the appropriate keys to the active element on the page. In this case, you'll need to send the Control key along with the v key.
Here's an example of how to simulate Ctrl+V using Selenium in Python:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
driver = webdriver.Chrome()
driver.get('your_url')
# Replace 'input_element_id' with the ID of the input element you want to paste into
input_element = driver.find_element_by_id('input_element_id')
# Simulate Ctrl+V
input_element.send_keys(Keys.CONTROL, 'v')
# Rest of your code
driver.quit()
In this example, we use the send_keys() method to send the Control key and the v key simultaneously. This simulates the Ctrl+V keyboard shortcut.
Keep in mind that the specific method to locate the input element and the element's ID or name may vary depending on the webpage you're working with.
Mobile proxies are a type of proxy server that routes internet traffic through a mobile network, providing users with anonymity, geolocation flexibility, and access to content that may be restricted in certain regions. Using mobile proxies can be beneficial for businesses, researchers, and individuals who need to bypass IP-based restrictions or maintain privacy while browsing the internet. Here's how to use mobile proxies:
Choose a mobile proxy provider: First, you need to find a reliable mobile proxy provider that offers a range of mobile proxy IPs. Some popular mobile proxy providers include Proxy-N-VPN, Smartproxy, and Luminati. Make sure to read reviews and compare features before selecting a provider.
Sign up and purchase: Once you've chosen a mobile proxy provider, sign up for an account and purchase a subscription plan that suits your needs. Most providers offer different plans based on the number of IPs, data usage, and duration of the subscription.
Configure your device or application: After obtaining the mobile proxy IPs and port numbers from your provider, you need to configure your device or application to use the mobile proxies. This may involve modifying the proxy settings in your browser, operating system, or specific application.
Using the Internet in normal mode leads to loss of anonymity. In this case, the computer connects directly to the servers of sites and applications, recognizing the personal IP address and other confidential information. The use of redirecting proxy servers protects against all these unwanted consequences and allows you to bypass potential blocking. In order to take advantage of proxy servers of several types and varieties, it is necessary to install them properly.
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