Curl to Python Converter

Convert curl commands to Python code - Generate ready-to-use Python requests code for API requests

Privacy Notice: This professional tool provides secure conversion to Python code with enterprise-grade privacy protection. We do not store any data you submit, ensuring complete confidentiality for your API development work.

Python Requests Code Generator

# Python requests code will appear here
# Example:
import requests

url = "https://api.example.com/data"
payload = {"name": "test"}
headers = {
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.status_code)
print(response.text)

Common curl Commands for Python API Testing

Here are some common curl commands that you can convert to Python code:

Python Requests Examples

Python's requests library is a powerful and elegant way to make HTTP requests. Here are some common Python requests patterns:

File Upload with Python Requests

import requests

url = "https://api.example.com/upload"
files = {'file': open('document.pdf', 'rb')}
headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}

response = requests.post(url, files=files, headers=headers)
print(response.json())

Python Requests with Timeout and Error Handling

import requests
from requests.exceptions import RequestException

url = "https://api.example.com/data"
try:
    response = requests.get(url, timeout=5)
    response.raise_for_status()  # Raises exception for 4XX/5XX responses
    data = response.json()
    print(data)
except RequestException as e:
    print(f"Error making request: {e}")

How to Use the Python Requests Converter

1. Basic Usage

Copy your curl command → Paste into the input box → Get converted Python requests code

2. Python Requests Features

  • HTTP methods (GET, POST, PUT, DELETE, etc.)
  • Request headers in Python format
  • JSON and form data handling
  • Basic and token authentication
  • SSL verification options
  • Session handling with Python requests

3. Advanced Python Requests Usage

Our advanced converter supports complex curl commands and translates them to clean, efficient, and production-ready Python code using the requests library. Perfect for API development, testing, and integration.

4. Converting curl Options to Python

Our tool handles these common curl options and converts them to appropriate Python requests code:

  • -X, --request: Sets the HTTP method (GET, POST, PUT, etc.)
  • -H, --header: Adds HTTP headers to the request
  • -d, --data: Sends data in the request body
  • --data-binary: Sends binary data in the request body
  • -u, --user: Adds basic authentication
  • -k, --insecure: Disables SSL certificate verification
  • --connect-timeout: Sets connection timeout

Frequently Asked Questions about Python Requests

Q: What Python version do I need for the generated curl to Python code?

A: The generated Python requests code is fully compatible with Python 3.x (3.6 and above). For Python 2.x, minor adjustments may be needed, though we recommend using Python 3 for better security and feature support.

Q: Does the Python code handle error checking?

A: The basic generated code does not include extensive error handling. For production code, you should add try/except blocks to handle potential exceptions like requests.exceptions.RequestException.

Q: How can I process the response in Python?

A: The requests library makes it easy to process responses. Use response.json() for JSON responses, response.text for text content, or response.content for binary data.

Q: Do I need to install any packages to use the generated code?

A: Yes, you need to install the requests library if you don't have it already. You can install it using pip: pip install requests

Q: How do I convert a curl command with file upload to Python?

A: For file uploads in Python, you'll need to use the files parameter in the requests.post() method. Our converter handles curl commands with -F or --form options and generates the appropriate Python code using the requests library.

Q: How do I handle cookies in Python requests?

A: Python's requests library makes cookie handling easy with the Session object. When you convert curl commands that include cookie handling (using -b or --cookie), our tool generates Python code that properly manages cookies using requests.Session().

Q: What's the difference between using curl and Python requests for API testing?

A: While curl is excellent for quick command-line API testing, Python requests provides a programmatic approach that integrates with your Python applications. Converting curl to Python helps bridge the gap between testing and implementation in Python development.

Curl Command Reference for Python API Testing

Understanding curl commands is essential for effective API testing with Python. Here's a quick reference of common curl options that our converter supports:

Basic curl Syntax

curl [options] [URL]

Common curl Options

Converting Complex curl Commands

Our Python converter handles complex curl commands including multiple headers, authentication, data payloads, and various options. Simply paste your curl command and get clean, modern Python code using the requests library.

Python Requests Best Practices

When working with the Python requests library, follow these best practices for efficient and secure API interactions:

1. Use Sessions for Multiple Requests

import requests

session = requests.Session()
session.headers.update({"Authorization": "Bearer token123"})

# First request
response1 = session.get("https://api.example.com/users")

# Second request (uses same session)
response2 = session.get("https://api.example.com/products")

# Close the session when done
session.close()

2. Implement Proper Error Handling

import requests
from requests.exceptions import HTTPError, ConnectionError, Timeout

try:
    response = requests.get("https://api.example.com/data", timeout=5)
    response.raise_for_status()
except HTTPError as e:
    print(f"HTTP error occurred: {e}")
except ConnectionError as e:
    print(f"Connection error occurred: {e}")
except Timeout as e:
    print(f"Timeout error occurred: {e}")
except Exception as e:
    print(f"An error occurred: {e}")

3. Use JSON Method Safely

import requests
import json

response = requests.get("https://api.example.com/data")
try:
    data = response.json()
except json.JSONDecodeError:
    print("Response was not valid JSON")
    data = {}