Prometheus Proxy

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.

Proxy service settings refer to the configuration and settings related to the use of a proxy server. A proxy server is an intermediary server that sits between a client and a destination server, acting as an intermediary to request and deliver content on behalf of the client. The main purpose of a proxy server is to improve performance, enhance security, or bypass restrictions on accessing certain content.

Proxy service settings include the following components:

1. Proxy server address: The IP address or domain name of the proxy server that the client will use to route requests and receive responses.

2. Proxy server port: The port number on which the proxy server is listening for incoming connections.

3. Protocol: The communication protocol used by the proxy server, such as HTTP, HTTPS, or SOCKS.

4. Authentication: The credentials required to access the proxy server, including username and password, if the proxy server requires authentication.

5. Connection timeout: The maximum amount of time, in seconds, that the client will wait for a response from the proxy server before timing out and attempting to reconnect.

6. Socks version: The version of the SOCKS protocol used by the proxy server, such as SOCKS4 or SOCKS5.

7. Proxy type: The type of proxy server, such as HTTP, HTTPS, or SOCKS, that the client will use to route requests and receive responses.

8. Bypass list: A list of domains or IP addresses that the client will bypass the proxy server for, allowing direct access to those resources.

9. Connection encryption: The method used to encrypt the data transmitted between the client and the proxy server, such as SSL or TLS.

10. User-agent: The user-agent string that the client will use to identify itself to the proxy server and destination server.

In Scrapy, you can control the caching behavior of requests made by rules in your spider by adjusting the dont_cache attribute in the Rule object. The dont_cache attribute, when set to True, indicates that the requests matched by the rule should not be cached.

Here's an example of how you can use dont_cache in a CrawlSpider:

from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule

class MySpider(CrawlSpider):
    name = 'my_spider'
    allowed_domains = ['example.com']
    start_urls = ['http://example.com']

    rules = (
        # Example Rule with dont_cache set to True
        Rule(LinkExtractor(allow=('/page/')), callback='parse_page', follow=True, dont_cache=True),
    )

    def parse_page(self, response):
        # Your parsing logic for individual pages goes here
        pass

- The spider is defined as a CrawlSpider.
- The Rule is created with LinkExtractor to match URLs that contain '/page/' in them.
- The dont_cache=True attribute is set to True in the Rule, indicating that requests matched by this rule should not be cached.

By setting dont_cache to True, Scrapy will make sure that requests matched by this rule will be fetched without considering the cache. This is useful when you want to ensure that each request to the specified URLs results in a fresh response, bypassing any cached data.

To convert a Scrapy Response object to a BeautifulSoup object, you can use the BeautifulSoup library. The Response object's body attribute contains the raw HTML content, which can be passed to BeautifulSoup for parsing. Here's an example:

from bs4 import BeautifulSoup
import scrapy

class MySpider(scrapy.Spider):
    name = 'my_spider'
    start_urls = ['http://example.com']

    def parse(self, response):
        # Convert Scrapy Response to BeautifulSoup object
        soup = BeautifulSoup(response.body, 'html.parser')

        # Now you can use BeautifulSoup to navigate and extract data
        title = soup.title.string
        print(f'Title: {title}')

        # Example: Extract all paragraphs
        paragraphs = soup.find_all('p')
        for paragraph in paragraphs:
            print(paragraph.text.strip())

- The Scrapy spider starts with the URL http://example.com.
- In the parse method, response.body contains the raw HTML content.
- The HTML content is passed to BeautifulSoup with the parser specified as 'html.parser'.
- The resulting soup object can be used to navigate and extract data using BeautifulSoup methods.

The proxy settings in Zoom are configured through the regular Windows settings. To do this, you can use the command inetcpl.cpl in "Run". Next, you need to go to the "Connection" tab, click on "Network Setup". In the dialog box that opens, select "Proxy server" and set the required parameters. As a port, you can use 80 and 443.