IP | Country | PORT | ADDED |
---|---|---|---|
82.119.96.254 | sk | 80 | 20 minutes ago |
50.171.122.28 | us | 80 | 20 minutes ago |
50.175.212.76 | us | 80 | 20 minutes ago |
189.202.188.149 | mx | 80 | 20 minutes ago |
172.105.193.238 | jp | 1080 | 20 minutes ago |
213.33.126.130 | at | 80 | 20 minutes ago |
194.219.134.234 | gr | 80 | 20 minutes ago |
113.108.13.120 | cn | 8083 | 20 minutes ago |
50.175.123.235 | us | 80 | 20 minutes ago |
50.145.138.154 | us | 80 | 20 minutes ago |
105.214.49.116 | za | 5678 | 20 minutes ago |
50.207.199.80 | us | 80 | 20 minutes ago |
122.116.29.68 | tw | 4145 | 20 minutes ago |
183.240.46.42 | cn | 80 | 20 minutes ago |
190.58.248.86 | tt | 80 | 20 minutes ago |
50.175.212.79 | us | 80 | 20 minutes ago |
83.1.176.118 | pl | 80 | 20 minutes ago |
50.175.123.232 | us | 80 | 20 minutes ago |
41.207.187.178 | tg | 80 | 20 minutes ago |
50.239.72.19 | us | 80 | 20 minutes ago |
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Connect your computer to a functioning router, then open any browser, go to the settings and enable manual configuration. Specify the IP, gateway with DNSI and subnet mask in the appropriate fields. In the "Home network" tab, under "Computers", go to "IPMP Proxy" and turn off this function. Under "System", click on the gear symbol, and under "Components", specify the Proxy UDP HTTP utility and click "Refresh".
One way to bypass parsing protection is to use a proxy server. After all, collecting information is most often done through special software. And it can be automatically blocked. But not when a proxy or VPN is used.
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.
In Scrapy, you can navigate to the next page of a website by following the links or buttons that lead to subsequent pages. This typically involves extracting the link or button URL from the current page and generating a new request to scrape the content of the next page.
Here's a basic example of how you can navigate to the next page in a Scrapy spider:
import scrapy
class MySpider(scrapy.Spider):
name = 'my_spider'
start_urls = ['http://example.com/page1']
def parse(self, response):
# Extract data from the current page
# ...
# Follow the link to the next page (assuming pagination link is in an anchor tag)
next_page_url = response.css('a.next-page-link::attr(href)').extract_first()
if next_page_url:
yield scrapy.Request(url=next_page_url, callback=self.parse)
- The spider starts with the initial URL (start_urls).
- The parse method extracts data from the current page.
- It then extracts the URL of the next page using a CSS selector (response.css('a.next-page-link::attr(href)').extract_first()). Adjust this selector based on the structure of the website you are scraping.
- If a next page URL is found, a new scrapy.Request is yielded with the URL and the same callback function (self.parse). This creates a new request to scrape the content of the next page.
When using a proxy, Google Chrome warns the user about it at startup. To connect directly, you must disable proxies at system level. That is, go to "Settings" Windows, then - "Network and Internet", in the section "Proxy server" disable the corresponding item.
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