OP 31 May, 2024 - 05:11 AM
(This post was last modified: 31 May, 2024 - 05:35 AM by SubAtomic. Edited 6 times in total.)
1. Analyze the response structure and identify the approximate line number where the desired data starts.
2. Implement a function to make the request using the expensive proxy and read the response in chunks.
3. Set a stop condition to break the reading process once the desired number of lines is reached.
2. Implement a function to make the request using the expensive proxy and read the response in chunks.
3. Set a stop condition to break the reading process once the desired number of lines is reached.
Code:
[align=center]
import requests
# Define the expensive proxy
expensive_proxy = {
"http": "http://expensive-proxy.example.com:8080",
"https": "http://expensive-proxy.example.com:8080"
}
def make_optimized_request(url, lines_to_read):
"""
Makes an optimized request using the expensive proxy and reads the response in chunks.
Args:
url (str): The URL to make the request to.
lines_to_read (int): The number of lines to read from the response.
Returns:
list: The lines of data read from the response.
"""
session = requests.Session()
session.proxies.update(expensive_proxy)
with session.get(url, stream=True) as response:
# Read the response in chunks
data = []
for line in response.iter_lines():
if line:
data.append(line.decode('utf-8'))
# Break the reading process once the desired number of lines is reached
if len(data) >= lines_to_read:
break
return data
# Example usage
if __name__ == "__main__":
url = "http://example.com/api/request"
lines_to_read = 15
data = make_optimized_request(url, lines_to_read)
# Process the retrieved data
for line in data:
print(line)[/align]
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Don't trust any retarded impersonators :cheemsbonk:
BEST ACCOUNTS + Highly Rated
HERE