To extract audio files from websites, Python's requests library can be used to send HTTP requests and retrieve data. The process involves identifying audio URLs from network requests and saving the files locally.

First, inspect the network activity of a target webpage using browser developer tools. For example, on a music site like gequbao.com, refresh the page and filter for media requests to find audio URLs. A typical request might be:

import requests

# Define headers to mimic a browser
request_headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
}

# URL for audio data
audio_api = 'https://www.gequbao.com/api/play_url?id=402856&json=1'

# Send GET request
api_response = requests.get(url=audio_api, headers=request_headers)

This returns a JSON respnose containing the audio URL. Parse it to extract the link:

# Convert response to JSON
response_data = api_response.json()

# Extract audio URL from nested dictionary
audio_link = response_data['data']['url']
print(f'Audio URL: {audio_link}')

Next, download the audio file by sending another request to the extracted URL and save it to a local directory. Use the os module to manage file paths:

import os

# Define directory for saving files
output_dir = 'downloaded_audio'

# Create directory if it doesn't exist
if not os.path.isdir(output_dir):
    os.makedirs(output_dir)

# Request audio content
audio_response = requests.get(audio_link, headers=request_headers)

# Save file with a name based on the URL
file_name = os.path.join(output_dir, 'audio_file.mp3')
with open(file_name, 'wb') as audio_file:
    audio_file.write(audio_response.content)

print(f'Audio saved to {file_name}')

This method efficiently downloads single audio files by automating HTTP requests and file operations.