How to use cURL in Python?

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 = ''

# 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

# 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

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

Question tagged: Python, HTTP

Related Posts

Scrapy Splash Guide: Scrape Dynamic Websites With Scrapy

Learn about web scraping with Scrapy Splash, which lets Scrapy scrape dynamic web pages. We'll define Splash, cover installation and navigation, and provide a step-by-step guide for using Scrapy Splash.

How to Track Competitor Prices Using Web Scraping

In this web scraping guide, we'll explain how to create a tool for tracking competitor prices using Python. It will scrape specific products from different providers, compare their prices and generate insights.

Intro to Using Web Scraping For Sentiment Analysis

In this article, we'll explore using web scraping for sentiment analysis. We'll start by defining sentiment analysis and then walk through a practical example of performing sentiment analysis on web-scraped data with community Python libraries.