IP | Country | PORT | ADDED |
---|---|---|---|
50.175.123.230 | us | 80 | 49 minutes ago |
50.175.212.72 | us | 80 | 49 minutes ago |
85.89.184.87 | pl | 5678 | 49 minutes ago |
41.207.187.178 | tg | 80 | 49 minutes ago |
50.175.123.232 | us | 80 | 49 minutes ago |
125.228.143.207 | tw | 4145 | 49 minutes ago |
213.143.113.82 | at | 80 | 49 minutes ago |
194.158.203.14 | by | 80 | 49 minutes ago |
50.145.138.146 | us | 80 | 49 minutes ago |
82.119.96.254 | sk | 80 | 49 minutes ago |
85.8.68.2 | de | 80 | 49 minutes ago |
72.10.160.174 | ca | 12031 | 49 minutes ago |
203.99.240.182 | jp | 80 | 49 minutes ago |
212.69.125.33 | ru | 80 | 49 minutes ago |
125.228.94.199 | tw | 4145 | 49 minutes ago |
213.157.6.50 | de | 80 | 49 minutes ago |
203.99.240.179 | jp | 80 | 49 minutes ago |
213.33.126.130 | at | 80 | 49 minutes ago |
122.116.29.68 | tw | 4145 | 49 minutes ago |
83.1.176.118 | pl | 80 | 49 minutes ago |
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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 keep only unique external links while scraping with Scrapy, you can use a set to track the visited external links and filter out duplicates. Here's an example spider that demonstrates how to achieve this:
import scrapy
from urllib.parse import urlparse, urljoin
class UniqueLinksSpider(scrapy.Spider):
name = 'unique_links'
start_urls = ['http://example.com'] # Replace with the starting URL of your choice
visited_external_links = set()
def parse(self, response):
# Extract all links from the current page
all_links = response.css('a::attr(href)').extract()
for link in all_links:
full_url = urljoin(response.url, link)
# Check if the link is external
if urlparse(full_url).netloc != urlparse(response.url).netloc:
# Check if it's a unique external link
if full_url not in self.visited_external_links:
# Add the link to the set of visited external links
self.visited_external_links.add(full_url)
# Yield the link or process it further
yield {
'external_link': full_url
}
# Follow links to other pages
for next_page_url in response.css('a::attr(href)').extract():
yield scrapy.Request(url=urljoin(response.url, next_page_url), callback=self.parse)
- visited_external_links is a class variable that keeps track of the unique external links across all instances of the spider.
- The parse method extracts all links from the current page.
- For each link, it checks if it is an external link by comparing the netloc (domain) of the current page and the link.
- If the link is external, it checks if it is unique by looking at the visited_external_links set.
- If the link is unique, it is added to the set, and the spider yields the link or processes it further.
- The spider then follows links to other pages, recursively calling the parse method.
Remember to replace the start_urls with the URL from which you want to start scraping.
There are two options: setting up through the software of the TV itself. To do this, you will need to install a third-party application to redirect traffic. The second option is to organize a connection through a proxy on the router, through which the TV gets access to the Internet. Naturally, both of these options are relevant for modern TVs with Smart TV support.
A VPN server address is an IP address or domain name through which you access the Internet. All traffic will be redirected through it. And the address is specified by the user, you can get it directly from the VPN-service, which provides such a service.
Proxy "tunneling" should be understood as the isolation of traffic from the user. It allows you to form a fully protected channel for data exchange, which will be isolated from all other traffic.
What else…