Backstage Proxy

To connect your iPhone to a proxy server, follow these steps:
Open the "Settings" section. Go to the "Wi-Fi" tab. Next to your access point, click on the "i" button. Click on "Proxy settings". Use the manual setting and specify the proxy data. To specify a login and password from the proxy you should enable the "Authentication" option. Save the settings.

To scrape tags from XML with Python, you can use the xml.etree.ElementTree module, which is part of the Python standard library. Here's an example of how to extract tags from an XML document

Assuming you have an XML file named example.xml like this:

    
        Item 1
        10.99
    
    
        Item 2
        19.99
    

You can use the following Python code to extract tags:

import xml.etree.ElementTree as ET

# Load the XML file
xml_file_path = 'path/to/example.xml'
tree = ET.parse(xml_file_path)
root = tree.getroot()

# Extract tags
tags = set()
for element in root.iter():
    tags.add(element.tag)

# Print the extracted tags
print("Extracted Tags:")
for tag in tags:
    print(tag)

This example uses xml.etree.ElementTree to parse the XML file, iterates over the elements, and adds each tag to a set to ensure uniqueness. You can modify this example based on your specific needs.

If you want to extract tags with attributes, you can modify the code accordingly. For example:

import xml.etree.ElementTree as ET

# Load the XML file
xml_file_path = 'path/to/example.xml'
tree = ET.parse(xml_file_path)
root = tree.getroot()

# Extract tags with attributes
tags_with_attributes = set()
for element in root.iter():
    tag_with_attributes = element.tag
    if element.attrib:
        attributes = ', '.join([f"{key}={value}" for key, value in element.attrib.items()])
        tag_with_attributes += f" ({attributes})"
    tags_with_attributes.add(tag_with_attributes)

# Print the extracted tags with attributes
print("Extracted Tags with Attributes:")
for tag in tags_with_attributes:
    print(tag)

This example includes attributes in the extracted tags, displaying them in a format like tag_name (attribute1=value1, attribute2=value2). Adjust the code based on your XML structure and specific requirements.

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.

Install the Nginx web server and disable the virtual tail. Next, in the /etc/nginx/sites-available directory, create a reverse-proxy.conf file. The file should be saved after completing the installation and quit the editor by typing "wq. You can send information to other servers by using the ngx_http_proxy_module in the terminal. Now activate the directives and test Nginx and the reverse proxy.

Open the browser settings and go to the "Advanced" section. Click on "System" and then, in the window that opens, click on "Open proxy settings for computer". A window will appear in front of you, showing all the current settings. Another way to find out the http proxy is to download and install the SocialKit Proxy Checker utility on your computer.