IP | Country | PORT | ADDED |
---|---|---|---|
122.116.125.115 | 8888 | 57 minutes ago | |
101.71.72.250 | cn | 52300 | 57 minutes ago |
79.110.200.148 | pl | 8081 | 57 minutes ago |
101.71.72.253 | cn | 52300 | 57 minutes ago |
185.93.89.187 | ir | 9332 | 57 minutes ago |
185.93.89.147 | ir | 22468 | 57 minutes ago |
211.128.96.206 | 80 | 57 minutes ago | |
67.201.33.10 | us | 25283 | 57 minutes ago |
162.223.90.150 | us | 80 | 57 minutes ago |
103.118.46.176 | kh | 8080 | 57 minutes ago |
190.58.248.86 | tt | 80 | 57 minutes ago |
49.207.36.81 | in | 80 | 57 minutes ago |
103.118.46.64 | kh | 8080 | 57 minutes ago |
59.53.80.122 | cn | 10024 | 57 minutes ago |
79.110.201.235 | pl | 8081 | 57 minutes ago |
213.143.113.82 | at | 80 | 57 minutes ago |
119.3.113.150 | cn | 9094 | 57 minutes ago |
85.215.64.49 | de | 80 | 57 minutes ago |
203.99.240.182 | jp | 80 | 57 minutes ago |
123.30.154.171 | vn | 7777 | 57 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:
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Most users use A-Parser for this purpose. It is one of the best applications for checking web applications. There is a corresponding tab, "Proxy server", in the standard menu of A-Parser. It is where you can specify the settings for the connection. And in the "Tools" section you can use parameters for parsing.
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.
Scrapy does support multiple cookies in requests. If you're facing issues:
- Ensure correct cookie syntax (cookies parameter in Request).
- Check for unique cookie names; conflicts may occur.
- Verify cookies match the request domain and path.
- Check cookie expiry dates.
- Some websites may filter or reject requests with multiple cookies.
- Manage sessions and middleware carefully.
- Enable Scrapy logging at DEBUG level for more details.
- Use Scrapy's CookieJar for managing cookies.
To check a proxy for blacklisting, it is necessary to use special tools developed for this purpose. Many proxy-checkers provide free online IP-address verification and provide detailed information related to the proxy servers security. To get it, just enter the IP address of the proxy and click on the "Verify" button.
It refers to a proxy that changes its IP address according to a set algorithm. This is done to minimize the risk of the proxy being recognized by web applications and to better ensure privacy.
What else…