Obsidian Proxy

Bypassing CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is generally considered unethical and against the terms of service of most websites. CAPTCHAs are designed to ensure that interactions with a website are performed by humans rather than automated scripts. Attempting to bypass CAPTCHA measures without explicit permission is likely to violate the website's terms of service and may have legal consequences.

If you are facing challenges with CAPTCHAs while using Selenium, consider the following alternatives:

1. Use CAPTCHA Solving Services:

   • Some third-party services offer CAPTCHA solving solutions. These services may use human workers to solve CAPTCHAs for you. However, keep in mind that using such services may still violate the terms of service of the website.

2. Contact the Website Owner:

   • If you are legitimately using Selenium for testing purposes or any other sanctioned activity, consider reaching out to the website owner or administrator. They may provide you with a way to bypass CAPTCHAs for testing purposes.

3. Use Headless Browsing:

   • Some websites may implement CAPTCHAs only for users interacting with the website in a visible browser window. Running Selenium in headless mode (without a visible browser) may reduce the likelihood of encountering CAPTCHAs.

4. Automate Only What's Necessary:

   • Avoid unnecessary interactions with the website and automate only what is essential. Excessive and rapid interactions may trigger CAPTCHAs.

5. Consider Alternatives:

   • Explore alternatives to web scraping if CAPTCHAs are a significant obstacle. Some websites provide APIs or other methods for accessing data without the need for traditional web scraping.

Always respect the terms of service of the websites you are interacting with and seek permission if you encounter obstacles like CAPTCHAs. Attempting to bypass security measures without authorization is not only unethical but may also lead to legal consequences.

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.

You can check the validity of proxies by using special software and a proxy checker. These tools not only check if the proxy is working, but also inform you about possible blocking by various platforms and social networks. Online services (checkers) also provide information related to ping, speed, proxy anonymity level, and geo. The combination of all these data allows for the most objective assessment of a proxy server's performance.

It means a proxy server for devices that connect to the router via WiFi. It is also a remote server to let traffic through. For example, a user sends a request to Netflix from his smartphone through a proxy that is hosted in the UK. Netflix servers will "recognize" such a user as being from the UK (regardless of his actual location).

Most often Yandex bans only public proxies that can be used by many users at the same time. The main reason for this is the high probability of cyber-attacks. Proxies are often used for DDoS, which means artificially overloading the server by sending a large number of requests to it every second.