Seraptek Heavy Construct Proxy

Click on the globe icon (settings panel) and open the IPoE tab. On the page that opens, select "ISP Broadband Connection". Switch the "Configure IP Settings" to "Manual" mode. After that, fill in the appropriate fields and press the "Apply" button. In the menu, under "Home network", find the "Computers" item and by clicking on the tab IPMP Proxy, uncheck the appropriate checkbox. Now find the "Components" item, install and activate the Proxy UDP HTTP utility and then update it. The next step is to click on "Home Network-Computers". In the window that appears, make the checkbox "Enable UPDXY server" active and enter the values required by the program. Then, after selecting the Broadband Connection as the communication channel, click on the "Apply" button.

A DNS proxy, also known as a DNS proxy server or DNS forwarder, is a specialized type of proxy server that intercepts and processes Domain Name System (DNS) queries. DNS proxies are responsible for translating human-readable domain names into IP addresses, which are used by devices to access websites and other online resources.

DNS proxies act as an intermediary between a client (e.g., a web browser, operating system, or application) and a DNS resolver (e.g., an ISP's DNS server or a public DNS server like Google DNS or Cloudflare DNS).

If you can't download images in Scrapy:

- Check the image pipeline configuration in settings.py.
- Verify HTTPS compatibility and install the certifi package if necessary.
- Confirm the correctness of XPath or CSS selectors for image URLs.
- Ensure image URLs are in the correct format; log URLs for inspection.
- Handle redirects by setting REDIRECT_ENABLED = True.
- Check and set appropriate HTTP headers in your Scrapy spider.
- Adjust the CONCURRENT_REQUESTS setting to avoid server restrictions.
- Verify correct configuration of the ImagesPipeline.
- Inspect the downloaded images in the specified IMAGES_STORE directory.
- Implement exception handling in your spider to catch download errors.

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.

To check the quality of a proxy server, you can use one of the proxy checkers. There are a lot of them on the Internet. For example, hidemy.name. On the page of the checker you need to specify the IP-address and port of the required proxy server.