IP | Country | PORT | ADDED |
---|---|---|---|
199.58.185.9 | us | 4145 | 51 minutes ago |
161.35.70.249 | de | 1080 | 51 minutes ago |
51.75.126.150 | fr | 9532 | 51 minutes ago |
80.120.49.242 | at | 80 | 51 minutes ago |
49.207.36.81 | in | 80 | 51 minutes ago |
79.110.202.184 | pl | 8081 | 51 minutes ago |
91.107.154.214 | de | 80 | 51 minutes ago |
220.167.89.46 | cn | 1080 | 51 minutes ago |
51.75.126.150 | fr | 1964 | 51 minutes ago |
51.210.111.216 | fr | 33123 | 51 minutes ago |
203.99.240.182 | jp | 80 | 51 minutes ago |
46.105.105.223 | fr | 54030 | 51 minutes ago |
37.18.73.60 | ru | 5566 | 51 minutes ago |
103.216.50.11 | kh | 8080 | 51 minutes ago |
45.12.132.215 | cy | 51991 | 51 minutes ago |
203.99.240.179 | jp | 80 | 51 minutes ago |
46.105.105.223 | fr | 34570 | 51 minutes ago |
185.59.100.55 | de | 1080 | 51 minutes ago |
161.35.70.249 | de | 80 | 51 minutes ago |
80.120.130.231 | at | 80 | 51 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
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Any programming language: Python, JavaScript, PHP, Java, and more.
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Technically, the ISP cannot block all VPN servers. But it is possible to block some of them. In this case, you can use any other VPN service. But you have to be careful with "free" ones, as they often make money from collecting and selling users' confidential data.
Scraping data from a community wall on VK (Vkontakte) using the VK API requires authentication and making requests to the API endpoints. VK provides an official API that you can use to access various data, including posts from community walls.
Here's a general guide on how to scrape posts from a community wall using the VK API:
Create a VK App:
Authentication:
Make API Requests:
wall.get
.Here's an example using Python and the requests
library:
import requests
# Replace with your VK app details and access token
app_id = 'your_app_id'
secure_key = 'your_secure_key'
access_token = 'your_access_token'
# Replace with the community ID or screen name
community_id = 'your_community_id_or_screen_name'
# API endpoint for getting wall posts
api_url = f'https://api.vk.com/method/wall.get?owner_id=-{community_id}&count=10&access_token={access_token}&v=5.131'
# Make the API request
response = requests.get(api_url)
data = response.json()
# Extract and print the posts
if 'response' in data and 'items' in data['response']:
posts = data['response']['items']
for post in posts:
print(post['text'])
else:
print('Error fetching wall posts')
Note: Make sure to handle errors and check the VK API documentation for more details on available parameters and responses.
To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:
Install Required Packages:
pip install aiohttp
Asynchronous Scraping Script:
import asyncio
import aiohttp
async def scrape_url(session, url):
try:
async with session.get(url) as response:
if response.status == 200:
content = await response.text()
# Process the content as needed
print(f"Scraped {url}: {len(content)} characters")
else:
print(f"Failed to scrape {url}. Status code: {response.status}")
except Exception as e:
print(f"Error scraping {url}: {str(e)}")
async def main():
urls_to_scrape = [
'https://example.com/page1',
'https://example.com/page2',
# Add more URLs as needed
]
async with aiohttp.ClientSession() as session:
tasks = [scrape_url(session, url) for url in urls_to_scrape]
await asyncio.gather(*tasks)
if __name__ == "__main__":
asyncio.run(main())
scrape_url
to perform the scraping for a given URL.main
function creates an asynchronous HTTP session using aiohttp.ClientSession
and gathers the scraping tasks.asyncio.run(main())
line runs the main asynchronous function.Running the Script:
python your_scraper_script.py
This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.
Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.
It is a service that provides the ability to use a proxy server. It provides connection data (IP address and port number) as well as remote equipment that acts as a "gateway" for transferring traffic.
A proxy in data centers is usually a separate server that processes incoming requests and then distributes them to the submitted addresses (or IP). Also through the proxy it is possible to allocate a specific user a separate IP address for connection (for example, if he needs a virtual server).
What else…