cURL is a popular HTTP client tool and a C library (libcurl). It can also be used in Python through many wrapper libraries.
The most popular library that uses libcurl in Python is pycurl. Here's an example use:
import pycurl from io import BytesIO # Set the URL you want to fetch url = 'https://www.example.com/' # Create a new Curl object curl = pycurl.Curl() # Set the URL and other options curl.setopt(pycurl.URL, url) # Follow redirects curl.setopt(pycurl.FOLLOWLOCATION, 1) # Set the user agent curl.setopt(pycurl.USERAGENT, 'Mozilla/5.0') # Create a buffer to store the response and add it as result target buffer = BytesIO() curl.setopt(pycurl.WRITEFUNCTION, buffer.write) # Perform the request curl.perform() # Get the response code and content response_code = curl.getinfo(pycurl.RESPONSE_CODE) response_content = buffer.getvalue().decode('UTF-8') # Print the response print(f'Response code: {response_code}') print(f'Response content: {response_content}') # Clean up curl.close() buffer.close() Compared to other libraries like requests and httpx pycurl is very low level can be difficult to use however it has access to many advanced features like HTTP3 support that other libraries don't have.
pyCurl doesn't support asynchronous requests which means it can't be used in asynchronous web scraping though can still be used using threads. See mixing sync code using asyncio.to_thread() for more details
