IP | Country | PORT | ADDED |
---|---|---|---|
154.16.146.43 | us | 80 | 42 minutes ago |
41.230.216.70 | tn | 80 | 42 minutes ago |
139.59.1.14 | in | 3128 | 42 minutes ago |
122.116.29.68 | tw | 4145 | 42 minutes ago |
163.53.75.202 | in | 8080 | 42 minutes ago |
125.228.143.207 | tw | 4145 | 42 minutes ago |
213.33.126.130 | at | 80 | 42 minutes ago |
111.59.4.88 | cn | 9002 | 42 minutes ago |
213.143.113.82 | at | 80 | 42 minutes ago |
194.158.203.14 | by | 80 | 42 minutes ago |
62.99.138.162 | at | 80 | 42 minutes ago |
80.120.130.231 | at | 80 | 42 minutes ago |
39.175.92.35 | cn | 30001 | 42 minutes ago |
190.58.248.86 | tt | 80 | 42 minutes ago |
85.8.68.2 | de | 80 | 42 minutes ago |
80.120.49.242 | at | 80 | 42 minutes ago |
139.162.78.109 | jp | 3128 | 42 minutes ago |
125.228.94.199 | tw | 4145 | 42 minutes ago |
103.97.94.22 | in | 4153 | 42 minutes ago |
221.153.92.39 | kr | 80 | 42 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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And 500+ more programming tools and languages
Both on a PC and on modern cell phones, a built-in utility that is responsible for working with network connections, provides the ability to set up a connection through a proxy server. You just need to enter the IP-address for connection and the port number. In the future all traffic will be redirected through this proxy. Accordingly, the provider will not block it.
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.
Here are some general guidelines to approach scraping protected sites:
Check Terms of Service:
Contact the Website Owner:
Use Official APIs:
Simulate Human Behavior:
Handle CAPTCHAs:
Use Proxy Servers:
Avoid Aggressive Scraping:
Stay Informed:
JSON scraping typically involves extracting data from a JSON response obtained from an API. When you mention doing JSON scraping sequentially, it could mean processing items in the JSON response one after another. Below is a simple example in Python that demonstrates sequential processing of JSON data:
import requests
def fetch_data(url):
response = requests.get(url)
return response.json()
def process_item(item):
# Replace this with your actual processing logic
print("Processing item:", item)
def scrape_sequentially(api_url):
data = fetch_data(api_url)
# Assuming the JSON response is a list of items
if isinstance(data, list):
for item in data:
process_item(item)
else:
print("Invalid JSON format. Expected a list of items.")
# Replace 'https://example.com/api/data' with the actual API URL
api_url = 'https://example.com/api/data'
scrape_sequentially(api_url)
In this example:
fetch_data
function sends a GET request to the specified API URL and returns the JSON response.process_item
function represents the logic you want to apply to each item in the JSON response.scrape_sequentially
function fetches the JSON data, checks if it's a list, and then iterates through each item, applying the processing logic sequentially.Make sure to replace the placeholder URL 'https://example.com/api/data'
with the actual URL of the API you want to scrape.
To connect your router to a proxy server, follow these steps:
1. Access router admin interface (usually 192.168.1.1)
2. Log in with default or custom credentials
3. Navigate to LAN/Network settings
4. Find and open Proxy Server settings
5. Enter proxy server type, IP, port, and authentication if needed
6. Save and apply changes
7. Update device proxy settings to use router's proxy server
What else…