IP | Country | PORT | ADDED |
---|---|---|---|
50.207.199.83 | us | 80 | 40 minutes ago |
158.255.77.169 | ae | 80 | 40 minutes ago |
50.239.72.18 | us | 80 | 40 minutes ago |
203.99.240.182 | jp | 80 | 40 minutes ago |
50.223.246.239 | us | 80 | 40 minutes ago |
50.172.39.98 | us | 80 | 40 minutes ago |
50.168.72.113 | us | 80 | 40 minutes ago |
213.143.113.82 | at | 80 | 40 minutes ago |
194.158.203.14 | by | 80 | 40 minutes ago |
50.171.122.30 | us | 80 | 40 minutes ago |
80.120.130.231 | at | 80 | 40 minutes ago |
41.230.216.70 | tn | 80 | 40 minutes ago |
203.99.240.179 | jp | 80 | 40 minutes ago |
50.175.123.233 | us | 80 | 40 minutes ago |
85.215.64.49 | de | 80 | 40 minutes ago |
50.207.199.85 | us | 80 | 40 minutes ago |
97.74.81.253 | sg | 21557 | 40 minutes ago |
50.223.246.236 | us | 80 | 40 minutes ago |
125.228.143.207 | tw | 4145 | 40 minutes ago |
50.221.74.130 | us | 80 | 40 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.
A proxy for Instagram may be needed in the case when it comes to promoting two or more pages in this popular network. Otherwise, blocking on a permanent or temporary basis of all existing accounts will immediately follow. Proxy servers not only allow you to secure your accounts, but also protect against network attacks, increase the speed of data access, transform data to reduce the memory footprint of the device.
A proxy is just used to bypass torrent download blocking through your ISP's network. Separately, the proxy server can block the host, that is, the owner of the site where the torrent files are posted. But it happens mostly due to malicious violations of the rules for using such a resource (for example, "cheating" rating).
It means a private proxy server used by several users. For example, one of them has bought a paid proxy and lets his friend use it for a fee. That is, he "shared" his proxy (shared means "common").
Such proxy redirects requests from clients to different servers (globally or within a single local network). It can be used for load balancing in different Internet services, for testing web applications, for secured access to local network servers (all "non-client" traffic is ignored).
What else…