IP | Country | PORT | ADDED |
---|---|---|---|
122.116.29.68 | tw | 4145 | 7 minutes ago |
72.10.160.91 | ca | 14525 | 7 minutes ago |
207.148.77.68 | sg | 1080 | 7 minutes ago |
67.201.33.10 | us | 25283 | 7 minutes ago |
67.43.228.250 | ca | 21373 | 7 minutes ago |
67.43.227.230 | ca | 4845 | 7 minutes ago |
138.59.165.85 | py | 1024 | 7 minutes ago |
103.63.190.107 | kh | 8080 | 7 minutes ago |
41.230.216.70 | tn | 80 | 7 minutes ago |
125.228.143.207 | tw | 4145 | 7 minutes ago |
213.143.113.82 | at | 80 | 7 minutes ago |
194.158.203.14 | by | 80 | 7 minutes ago |
62.99.138.162 | at | 80 | 7 minutes ago |
82.119.96.254 | sk | 80 | 7 minutes ago |
41.207.187.178 | tg | 80 | 7 minutes ago |
197.211.24.206 | ke | 5678 | 7 minutes ago |
190.58.248.86 | tt | 80 | 7 minutes ago |
80.120.49.242 | at | 80 | 7 minutes ago |
103.118.46.61 | kh | 8080 | 7 minutes ago |
103.118.46.174 | kh | 8080 | 7 minutes ago |
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Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.
Scraping business contacts using regular expressions can be challenging and error-prone, especially considering the variations in contact information formats. Instead of using regular expressions directly, a better approach is to use a dedicated HTML parser like DOMDocument or a library like Simple HTML DOM Parser in PHP. This allows you to navigate the HTML structure and extract relevant information more reliably.
Here's an example using Simple HTML DOM Parser to scrape business contact information
Install Simple HTML DOM Parser:
You can download it from sourceforge and include it in your project, or use Composer:
composer require sunra/php-simple-html-dom-parser
Scraping Script:
find('span.phone-number') as $phoneElement) {
$contacts[] = $phoneElement->plaintext;
}
// Example: Extracting email addresses
foreach ($html->find('a.email') as $emailElement) {
$contacts[] = $emailElement->plaintext;
}
// Add more logic to extract other types of contact information
return $contacts;
}
// Example usage
$url = 'https://example.com/business-page';
$businessContacts = scrapeBusinessContacts($url);
// Print the extracted contacts
print_r($businessContacts);
Adjust the HTML element selectors (span.phone-number
, a.email
, etc.) based on the structure of the business contacts on the target website.
Remember:
To pass a Selenium WebDriver instance to a Python decorator, you can create a custom decorator that takes the WebDriver instance as an argument. Here's an example of how to do this:
First, create a custom decorator that accepts the WebDriver instance:
def webdriver_decorator(driver):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
return func(driver, *args, **kwargs)
return wrapper
return decorator
Create a function that takes the WebDriver instance as an argument and performs the desired action:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def my_function(driver, search_query):
driver.get('https://example.com')
search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
search_box.send_keys(search_query)
search_box.send_keys(Keys.RETURN)
Apply the custom decorator to the function and pass the WebDriver instance:
@webdriver_decorator
def my_function_with_decorator(driver, search_query):
return my_function(driver, search_query)
Now you can use the decorated function and pass the WebDriver instance:
driver = webdriver.Chrome()
driver.get('https://example.com')
search_results = my_function_with_decorator(driver, 'your search query')
In this example, the my_function_with_decorator function is the same as the my_function function, but it is wrapped by the webdriver_decorator. When you call my_function_with_decorator, you need to pass the WebDriver instance as the first argument.
To address the "ERROR conda.core.link:_execute(637)" issue when installing Scrapy (Python 3.7) on Windows 8:
- Update conda: conda update conda
- Create a new virtual environment: conda create -n myenv python=3.7 and then conda activate myenv
- Install Scrapy using conda: conda install scrapy
- Check Python version compatibility with Scrapy.
- Alternatively, try installing Scrapy using pip: pip install scrapy
- Update Anaconda: conda update anaconda
- Temporarily disable antivirus/firewall.
- Verify network connection stability.
- If issues persist, seek assistance from community forums or provide more details for further help.
If you have the operating system Ubuntu, the messenger will not be able to connect to the proxy. On other operating systems, if this situation occurs, you should update your application to the latest version. Another reason for no connection may be a server restart. In this case, you should either wait for the traffic to decrease or connect to a new proxy. Sometimes, to get Telegram working via proxy again, you simply need to replace the outdated proxy server with a new one.
What else…