IP | Country | PORT | ADDED |
---|---|---|---|
50.171.187.51 | us | 80 | 59 minutes ago |
189.202.188.149 | mx | 80 | 59 minutes ago |
72.10.164.178 | ca | 20987 | 59 minutes ago |
212.69.125.33 | ru | 80 | 59 minutes ago |
203.99.240.182 | jp | 80 | 59 minutes ago |
203.99.240.179 | jp | 80 | 59 minutes ago |
80.228.235.6 | de | 80 | 59 minutes ago |
213.143.113.82 | at | 80 | 59 minutes ago |
50.172.150.134 | us | 80 | 59 minutes ago |
62.99.138.162 | at | 80 | 59 minutes ago |
50.114.33.143 | kh | 8080 | 59 minutes ago |
50.217.226.47 | us | 80 | 59 minutes ago |
194.182.187.78 | at | 3128 | 59 minutes ago |
67.43.228.250 | ca | 16555 | 59 minutes ago |
50.232.104.86 | us | 80 | 59 minutes ago |
50.223.246.238 | us | 80 | 59 minutes ago |
192.111.134.10 | ca | 4145 | 59 minutes ago |
50.221.74.130 | us | 80 | 59 minutes ago |
188.40.59.208 | de | 3128 | 59 minutes ago |
50.219.249.61 | us | 80 | 59 minutes ago |
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Popup scraping typically involves interacting with web pages that have dynamic content, including popups or modals. To scrape data from popups, you may need to use a headless browser automation library. One popular choice is Selenium, which provides a WebDriver API for interacting with browsers.
Here's an example using Python and Selenium to scrape data from a webpage with a popup
Install Selenium:
pip install selenium
Download WebDriver:
Write the Scraping Code:
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
def scrape_with_popup(url):
# Set up the WebDriver (make sure the WebDriver executable is in the same directory or in your PATH)
driver = webdriver.Chrome()
try:
# Open the webpage
driver.get(url)
# Locate and click the button/link that triggers the popup
popup_trigger = driver.find_element(By.ID, 'popup-trigger')
popup_trigger.click()
# Wait for the popup to appear (adjust the timeout as needed)
WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'popup-content')))
# Extract data from the popup
popup_content = driver.find_element(By.ID, 'popup-content').text
print("Popup Content:", popup_content)
finally:
# Close the browser window
driver.quit()
# Replace 'https://example.com' with the actual URL of the webpage
scrape_with_popup('https://example.com')
'https://example.com'
with the actual URL of the webpage you want to scrape.'popup-trigger'
and 'popup-content'
with the actual IDs or other locators of the elements triggering the popup and the popup content.Run the Code:
This example assumes that the webpage you are working with uses a trigger element (button/link) to open the popup.
When using Selenium for automation, it's important to be aware that websites can detect automation and may have measures in place to identify bot-like behavior. Some websites employ techniques to detect whether a user is interacting with the site through a web browser or through automated scripts like Selenium.
While it's not recommended to hide the fact that you are using Selenium, there are strategies you can employ to make your automation less detectable. Keep in mind that attempting to hide automation might violate the terms of service of certain websites, and it's important to respect the policies of the websites you are interacting with.
Here are some strategies to make your Selenium automation less detectable
1. Use Headless Mode
Running the browser in headless mode means it operates without a graphical user interface. This can make your automation less conspicuous. However, be aware that some websites can still detect headless browsers.
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--headless')
driver = webdriver.Chrome(options=options)
2. Modify User Agent
Change the user agent to simulate different browsers or devices. This can make your requests look more like those coming from real users.
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36')
driver = webdriver.Chrome(options=options)
3. Slow Down Interactions
Introduce delays between your interactions to mimic more human-like behavior. Websites might detect automation based on rapid, sequential requests.
import time
# Introduce a delay
time.sleep(2)
4. Randomize Interactions
Add randomization to your script, such as randomizing wait times, order of interactions, or the number of interactions. This can make your script less predictable.
import random
# Randomize wait time
time.sleep(random.uniform(1, 3))
5. Handle Cookies and Sessions
Manage cookies and sessions effectively to simulate real user behavior. Log in, handle sessions, and manage cookies as a real user would.
6. Avoid Common Automation Detection Techniques
Be aware of common techniques websites use to detect automation, such as checking for the presence of WebDriver properties. You may need to work around these checks or use techniques to override them.
Please note that while these strategies may make your Selenium automation less detectable, they may not guarantee complete invisibility. Websites can employ sophisticated methods to detect automation, and attempting to bypass detection mechanisms might violate the terms of service of the website.
To scrape an image using Selenium in C#, you can find the image element on the web page and then retrieve the image source (URL) or download the image file. Here's a simple example:
using System;
using OpenQA.Selenium;
using OpenQA.Selenium.Chrome;
class Program
{
static void Main()
{
// Set up the Chrome WebDriver
using (var driver = new ChromeDriver())
{
// Navigate to the web page containing the image
driver.Navigate().GoToUrl("https://example.com");
// Find the image element (replace with your actual locator)
IWebElement imageElement = driver.FindElement(By.XPath("//img[@id='your_image_id']"));
// Get the source URL of the image
string imageUrl = imageElement.GetAttribute("src");
Console.WriteLine("Image Source URL: " + imageUrl);
// Download the image (optional)
DownloadImage(imageUrl);
}
}
// Function to download the image
static void DownloadImage(string imageUrl)
{
using (var webClient = new System.Net.WebClient())
{
// Replace "downloaded_image.jpg" with your desired file name
webClient.DownloadFile(imageUrl, "downloaded_image.jpg");
Console.WriteLine("Image Downloaded Successfully.");
}
}
}
In this example:
The Chrome WebDriver is set up.
The program navigates to a web page (replace "https://example.com" with the actual URL).
The image element is located using a locator (replace "//img[@id='your_image_id']" with the actual XPath or other locator for your image).
The source URL of the image is retrieved using GetAttribute("src").
Optionally, the DownloadImage function is called to download the image using WebClient. Adjust the file name and path as needed.
An access point (AP) is a device that creates a wireless local area network (WLAN) and allows devices to connect to a wired network. Proxy settings on an access point refer to the configuration of the AP to use a proxy server for internet traffic.
A proxy on an access point serves the following purposes:
1. Anonymity: By routing internet traffic through a proxy server, the AP can help conceal the identity and location of devices connected to the network. This can be useful in situations where anonymity is desired or required.
2. Content filtering: A proxy server can be configured to block or allow access to specific websites or content based on predefined rules. This can be helpful for organizations that want to control and monitor the internet usage of their users.
3. Bandwidth management: Using a proxy server, an access point can limit or prioritize the bandwidth for specific applications or users. This can help manage network resources and ensure fair usage.
4. Caching: Proxy servers can cache frequently accessed content, reducing the amount of data that needs to be downloaded from the internet. This can improve performance and reduce bandwidth usage.
It means organizing a connection through several VPN-servers at once. It is used to protect confidential data as much as possible or to hide one's real IP address. This principle of connection is used, for example, in the TOR-browser. That is, when all traffic is sent immediately through a chain of proxy servers.
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