IP | Country | PORT | ADDED |
---|---|---|---|
50.217.226.41 | us | 80 | 46 minutes ago |
209.97.150.167 | us | 3128 | 46 minutes ago |
50.174.7.162 | us | 80 | 46 minutes ago |
50.169.37.50 | us | 80 | 46 minutes ago |
190.108.84.168 | pe | 4145 | 46 minutes ago |
50.174.7.159 | us | 80 | 46 minutes ago |
72.10.160.91 | ca | 29605 | 46 minutes ago |
50.171.122.27 | us | 80 | 46 minutes ago |
218.252.231.17 | hk | 80 | 46 minutes ago |
50.220.168.134 | us | 80 | 46 minutes ago |
50.223.246.238 | us | 80 | 46 minutes ago |
185.132.242.212 | ru | 8083 | 46 minutes ago |
159.203.61.169 | ca | 8080 | 46 minutes ago |
50.223.246.239 | us | 80 | 46 minutes ago |
47.243.114.192 | hk | 8180 | 46 minutes ago |
50.169.222.243 | us | 80 | 46 minutes ago |
72.10.160.174 | ca | 1871 | 46 minutes ago |
50.174.7.152 | us | 80 | 46 minutes ago |
50.174.7.157 | us | 80 | 46 minutes ago |
50.174.7.154 | us | 80 | 46 minutes ago |
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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.
In web development, the style.left property refers to the left offset position of an element within its containing element. The value of style.left is a string that represents the distance from the element's left edge to the left edge of its containing element. This distance can be specified using various units, such as pixels, percentages, or other length units.
When you retrieve style.left in JavaScript, you get a string representation of this distance. For example:
var element = document.getElementById('exampleElement');
var leftValue = element.style.left; // Returns a string like "10px" or "50%"
To perform numerical calculations or comparisons with the left offset, you might want to parse this string and extract the numeric value. Parsing involves removing the unit (e.g., "px" or "%") and converting the remaining part to a numeric value.
Here's an example of how you can parse the style.left value in JavaScript:
var element = document.getElementById('exampleElement');
var leftValue = element.style.left;
// Parse the numeric value
var parsedLeft = parseFloat(leftValue);
// Now parsedLeft is a numeric value representing the left offset
console.log(parsedLeft);
By parsing the value, you can use it in mathematical operations or make comparisons. Keep in mind that parsing might return NaN (Not a Number) if the value is not a valid number, so it's important to handle such cases appropriately.
It is recommended to use private IPv6 proxies with dedicated IP in order to work with Instagram correctly, and most importantly - securely. With such connection interception of traffic is practically impossible, directly Instagram also will not ban the connection.
To install a proxy server in Google Chrome, you must do the following steps:
Open the browser.
Click the "?" icon in the upper right corner.
Go to "Settings".
Select the "Advanced" option.
Click the "System" tab.
Click on "Open proxy settings for your computer".
Click on "Network settings".
Activate the "Use proxy server" option.
In the tab that opens, specify the IP address of the proxy server. You must enter the address in the field of the protocol to which the proxy server belongs. You can get this information from the provider. Click the "OK" button to save your settings.
Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.
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