IP | Country | PORT | ADDED |
---|---|---|---|
192.252.216.81 | us | 4145 | 46 minutes ago |
208.65.90.21 | us | 4145 | 46 minutes ago |
189.202.188.149 | mx | 80 | 46 minutes ago |
194.219.134.234 | gr | 80 | 46 minutes ago |
46.32.15.59 | ir | 3128 | 46 minutes ago |
80.120.49.242 | at | 80 | 46 minutes ago |
111.177.48.18 | cn | 9501 | 46 minutes ago |
208.65.90.3 | us | 4145 | 46 minutes ago |
128.140.113.110 | de | 4145 | 46 minutes ago |
198.8.94.170 | us | 4145 | 46 minutes ago |
113.108.13.120 | cn | 8083 | 46 minutes ago |
199.58.185.9 | us | 4145 | 46 minutes ago |
192.252.220.89 | us | 4145 | 46 minutes ago |
198.12.249.249 | us | 26829 | 46 minutes ago |
79.110.200.148 | pl | 8081 | 46 minutes ago |
220.167.89.46 | cn | 1080 | 46 minutes ago |
87.248.129.26 | ae | 80 | 46 minutes ago |
211.128.96.206 | 80 | 46 minutes ago | |
50.63.12.101 | us | 27071 | 46 minutes ago |
199.187.210.54 | us | 4145 | 46 minutes ago |
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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.
If PyCharm is not recognizing the Selenium library, there are a few steps you can take to resolve the issue
1. Check Project Interpreter
Ensure that you have the correct Python interpreter selected for your project. Open PyCharm, go to File > Settings > Project > Project Interpreter. Make sure that the interpreter you are using has Selenium installed.
2. Install Selenium
Install the Selenium library if you haven't done so. You can install it using the following pip command in your terminal or command prompt:
pip install selenium
PyCharm Reindexing:
Virtual Environment:
PyCharm Cache:
File > Invalidate Caches / Restart...
and select "Invalidate and Restart." This will clear the caches and restart PyCharm.Check Project Structure:
Mark Directory as > Sources Root
.Check Python Path:
Project Interpreter
settings.Check for Typos:
PyCharm Plugin:
Update PyCharm:
Recreate Virtual Environment (if applicable):
After going through these steps, PyCharm should recognize the Selenium library. If the issue persists, double-check your project configuration and make sure there are no conflicting settings or issues with your Python environment.
To check if your proxy is working, you can perform a simple test by accessing a website through the proxy. Here's a step-by-step guide:
1. Open your web browser and navigate to a website that you can use to test your proxy connection. Websites like "http://www.whatismyip.com/" or "https://www.proxy-check.org/" are commonly used for this purpose.
2. If you're using a proxy server, you'll need to configure your browser or a proxy extension to use the proxy. You can usually find this setting in your browser's network settings or under the proxy settings.
3. Enter the proxy server address (IP address or hostname) and port number in the appropriate fields in your browser or proxy extension settings.
4. Save your changes and refresh the web page with the test site.
5. If the proxy is working correctly, the website should display your proxy's IP address or a different IP address than your original one. This indicates that the proxy is successfully routing your traffic.
6. If the website displays your original IP address, it means that the proxy is not working or not being used.
A proxy is a service that allows access to websites blocked in different countries, while hiding your own IP address. It is a kind of intermediary between the end server and the owner's computer. A VPN provides an encrypted connection to the network, which not only allows you to keep your privacy, hide your IP address, encrypt Internet traffic, but also bypasses firewalls.
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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