IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.74 | us | 80 | 10 minutes ago |
189.202.188.149 | mx | 80 | 10 minutes ago |
50.171.187.50 | us | 80 | 10 minutes ago |
50.171.187.53 | us | 80 | 10 minutes ago |
50.223.246.226 | us | 80 | 10 minutes ago |
50.219.249.54 | us | 80 | 10 minutes ago |
50.149.13.197 | us | 80 | 10 minutes ago |
67.43.228.250 | ca | 8209 | 10 minutes ago |
50.171.187.52 | us | 80 | 10 minutes ago |
50.219.249.62 | us | 80 | 10 minutes ago |
50.223.246.238 | us | 80 | 10 minutes ago |
128.140.113.110 | de | 3128 | 10 minutes ago |
67.43.236.19 | ca | 17929 | 10 minutes ago |
50.149.13.195 | us | 80 | 10 minutes ago |
103.24.4.23 | sg | 3128 | 10 minutes ago |
50.171.122.28 | us | 80 | 10 minutes ago |
50.223.246.239 | us | 80 | 10 minutes ago |
72.10.164.178 | ca | 16727 | 10 minutes ago |
50.232.104.86 | us | 80 | 10 minutes ago |
50.172.39.98 | us | 80 | 10 minutes ago |
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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.
SQLite is a relational database management system, and XML is a markup language for encoding structured data. SQLite itself doesn't inherently support XML parsing. However, if you have XML data that you want to store in SQLite or retrieve from SQLite, you can follow a process of converting between XML and SQLite data.
Here's a general approach:
Convert XML to a Text Representation: Convert your XML data into a text representation, for example, by serializing it as a string. This can be done using XML serialization libraries available in your programming language.
Store the Text in a SQLite Table: Create a table in SQLite with a column to store the serialized XML text. Insert the XML data into this table.
CREATE TABLE xml_data (id INTEGER PRIMARY KEY, xml_text TEXT);
INSERT INTO xml_data (xml_text) VALUES ('value ');
Retrieve the Text from the SQLite Table: Query the SQLite table to retrieve the stored XML text.
SELECT xml_text FROM xml_data WHERE id = 1;
Convert Text to XML: Deserialize the retrieved text back into XML using XML parsing libraries.
Example in Python using the xml.etree.ElementTree
module:
import xml.etree.ElementTree as ET
# Retrieve XML text from SQLite (replace with actual retrieval logic)
xml_text = "value "
# Parse XML text
root = ET.fromstring(xml_text)
# Access XML elements as needed
element_value = root.find('element').text
print("Element value:", element_value)
This is a basic approach, and the exact steps may depend on the programming language you're using and the tools available in that language for XML serialization and deserialization.
If you're working with XML data frequently, consider exploring databases designed for handling XML, such as XML databases or document-oriented databases, which may offer more native support for XML storage and retrieval. SQLite, being a relational database, is optimized for relational data rather than XML.
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.
You can find out your proxy using the Socproxy.ru/ip service from your computer or cell phone. Your IP or proxy address will appear on the main page of the site. Another option is to download the SocialKit Proxy Checker utility, which you can use to check your proxy for validity. If a proxy is used in the browser settings, you can find out its parameters there as well.
In simple terms, it is a logically separated part of the main local or public network. It is through it that many users can use a proxy through a single server at the same time. Each connection is allocated to a separate subnet.
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