IP | Country | PORT | ADDED |
---|---|---|---|
82.119.96.254 | sk | 80 | 7 minutes ago |
46.105.105.223 | gb | 44290 | 7 minutes ago |
39.175.77.7 | cn | 30001 | 7 minutes ago |
46.183.130.89 | ru | 1080 | 7 minutes ago |
183.215.23.242 | cn | 9091 | 7 minutes ago |
125.228.94.199 | tw | 4145 | 7 minutes ago |
50.207.199.81 | us | 80 | 7 minutes ago |
189.202.188.149 | mx | 80 | 7 minutes ago |
50.169.222.243 | us | 80 | 7 minutes ago |
50.168.72.116 | us | 80 | 7 minutes ago |
60.217.64.237 | cn | 35292 | 7 minutes ago |
23.247.136.254 | sg | 80 | 7 minutes ago |
54.37.86.163 | fr | 26701 | 7 minutes ago |
190.58.248.86 | tt | 80 | 7 minutes ago |
87.248.129.26 | ae | 80 | 7 minutes ago |
125.228.143.207 | tw | 4145 | 7 minutes ago |
211.128.96.206 | 80 | 7 minutes ago | |
122.116.29.68 | tw | 4145 | 7 minutes ago |
47.56.110.204 | hk | 8989 | 7 minutes ago |
185.10.129.14 | ru | 3128 | 7 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.
To log into your Google account using Selenium, you will need to follow these steps:
1. Install Selenium WebDriver for your preferred browser (e.g., Chrome, Firefox, Edge).
2. Import the necessary modules in your script.
3. Create a WebDriver instance for the browser.
4. Navigate to the Google login page (https://accounts.google.com/).
5. Locate the email and password input fields and the login button.
6. Enter your email and password into the input fields.
7. Click the login button.
Here's an example Python script using Selenium with Chrome WebDriver:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Set up the Chrome WebDriver
driver = webdriver.Chrome()
# Navigate to the Google login page
driver.get("https://accounts.google.com/")
# Explicit wait for the email input field to be present
wait = WebDriverWait(driver, 10)
email_input = wait.until(EC.presence_of_element_located((By.NAME, "identifier")))
# Enter your email address into the email input field
email_input.send_keys("[email protected]")
email_input.send_keys(Keys.RETURN)
# Explicit wait for the password input field to be present
password_input = wait.until(EC.presence_of_element_located((By.NAME, "password")))
# Enter your password into the password input field
password_input.send_keys("your_password")
password_input.send_keys(Keys.RETURN)
# Your Google account should now be logged in
Replace [email protected] and your_password with your actual Google account email and password. Note that storing passwords in plaintext within your script is not secure. Consider using environment variables or other secure methods to store sensitive information.
Keep in mind that Google may have CAPTCHA or other security measures in place to prevent automated logins. If you encounter such measures, you may need to use additional techniques or services to bypass them.
Working through a proxy involves routing your internet traffic through a proxy server, which acts as an intermediary between your device and the internet. This can be done for various reasons, such as improving security, privacy, or accessing content that may be restricted in your location. Here's how to work through a proxy:
Obtain a proxy server: First, you need to find a proxy server that meets your needs. You can find proxy servers through online directories or by asking for recommendations from friends, family, or online communities. Make sure to choose a reliable and trustworthy proxy server.
Configure your device or browser: Once you have a proxy server, you need to configure your device or browser to use the proxy. The process varies depending on the device and browser you're using.
A firewall is responsible for filtering packets of traffic. For example, it blocks access to the Internet for certain applications. There are many more options for using a proxy. But if you install special software, it can also be used for such purposes.
In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.
What else…