Taobao Proxy

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:

1. Check Terms of Service:

   • Review the terms of service, robots.txt file, and any other usage policies provided by the website. Some websites explicitly prohibit scraping.

2. Contact the Website Owner:

   • If you have a legitimate reason for scraping and the website provides contact information, consider reaching out to the website owner or administrator to request permission.

3. Use Official APIs:

   • Many websites offer official APIs that allow controlled access to their data. Using an API is a sanctioned and structured way to obtain information.

4. Simulate Human Behavior:

   • Mimic human behavior by setting appropriate headers, handling cookies, and introducing delays between requests. This helps avoid detection mechanisms that may identify automated bots.

5. Handle CAPTCHAs:

   • Some sites may use CAPTCHAs to prevent automated access. Implement mechanisms to handle CAPTCHAs if they are encountered.

6. Use Proxy Servers:

   • Rotate IP addresses using proxy servers to avoid IP-based blocking. However, be aware that some sites may block common proxy server IP ranges.

7. Avoid Aggressive Scraping:

   • Limit the frequency and volume of your requests to avoid overloading the server. Implement rate limiting and throttling to mimic human browsing behavior.

8. Stay Informed:

   • Monitor the website for changes in its structure or policies. Adjust your scraping strategy accordingly to adapt to any modifications.

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:

1. The fetch_data function sends a GET request to the specified API URL and returns the JSON response.
2. The process_item function represents the logic you want to apply to each item in the JSON response.
3. The 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