IP | Country | PORT | ADDED |
---|---|---|---|
185.93.89.187 | ir | 9332 | 42 minutes ago |
67.201.33.10 | us | 25283 | 42 minutes ago |
211.128.96.206 | 80 | 42 minutes ago | |
23.247.136.254 | sg | 80 | 42 minutes ago |
190.58.248.86 | tt | 80 | 42 minutes ago |
89.58.45.248 | de | 80 | 42 minutes ago |
203.99.240.182 | jp | 80 | 42 minutes ago |
213.143.113.82 | at | 80 | 42 minutes ago |
80.120.130.231 | at | 80 | 42 minutes ago |
68.185.57.66 | us | 80 | 42 minutes ago |
50.55.52.50 | us | 80 | 42 minutes ago |
203.99.240.179 | jp | 80 | 42 minutes ago |
202.61.199.166 | de | 80 | 42 minutes ago |
89.58.55.106 | de | 80 | 42 minutes ago |
50.122.86.118 | us | 80 | 42 minutes ago |
66.191.31.158 | us | 80 | 42 minutes ago |
79.110.201.235 | pl | 8081 | 42 minutes ago |
95.47.239.221 | uz | 3128 | 42 minutes ago |
32.223.6.94 | us | 80 | 42 minutes ago |
123.30.154.171 | vn | 7777 | 42 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
Connection formats you know and trust: IP:port or IP:port@login:password.
Any programming language: Python, JavaScript, PHP, Java, and more.
Top automation and scraping tools: Scrapy, Selenium, Puppeteer, ZennoPoster, BAS, and many others.
Anti-detect browsers: Multilogin, GoLogin, Dolphin, AdsPower, and other popular solutions.
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Several virtual proxy servers can be created within one device. These are special dedicated servers that only "service" such traffic. Many devices can connect to them at the same time.
When using BeautifulSoup in Python to parse HTML or XML with identical tags, you can use various methods to extract the desired information. One common approach is to use the find_all method along with additional criteria to narrow down the selection.
Here's an example of how you can parse identical tags with BeautifulSoup:
from bs4 import BeautifulSoup
html_content = """
First paragraph
Second paragraph
Third paragraph
"""
soup = BeautifulSoup(html_content, 'html.parser')
# Find all paragraphs within the div with class="example"
div_example = soup.find('div', class_='example')
if div_example:
paragraphs = div_example.find_all('p')
# Print the text content of each paragraph
for paragraph in paragraphs:
print(paragraph.text)
else:
print("Div with class='example' not found.")
In this example, find is used to locate the div with class "example," and then find_all is used to retrieve all paragraph tags within that div. The text content of each paragraph is then printed.
You can adapt this approach to your specific HTML or XML structure. If the identical tags are nested within a specific parent element, use that parent element as a starting point for your search.
Keep in mind that identifying the elements you want to extract may involve inspecting the HTML structure and adapting your code accordingly.
Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.
This depends directly on how the proxy server works. Some of them do not require any authorization at all, others require username and password for access, and others require you to view ads and so on. Which option will be used depends directly on the service that provides access to the proxy server.
In the main window of the program, select "Advanced", then "Options". In the "Basic" section, there is the "Proxy settings" item. Click on "Configuration" and enter the server address, port number, protocol type used and so on.
What else…