Key Facts
- Category
- Developer & Web
- Input Types
- textarea, checkbox
- Output Type
- text
- Sample Coverage
- 4
- API Ready
- Yes
Overview
Convert cURL commands into clean, ready-to-run Python code using the requests library. This tool parses HTTP methods, headers, query parameters, and request bodies, generating structured Python scripts with options to format JSON payloads and include explanatory comments.
When to Use
- •When migrating API requests from terminal testing or browser developer tools into Python scripts.
- •When building automated integration tests or web scrapers that require replicating specific HTTP headers and payloads.
- •When sharing reproducible API request examples with team members who write Python.
How It Works
- •Paste your raw cURL command into the input text area.
- •Toggle options to pretty-print the request body or include comments in the generated code.
- •Copy the generated Python code snippet containing the configured requests call, headers, and data payload.
Use Cases
Converting Chrome DevTools 'Copy as cURL' network requests into Python scraping scripts.
Translating API documentation examples written in cURL into Python backend integrations.
Generating Python test scripts from command-line API tests.
Examples
1. Converting a POST Request with JSON Payload
Backend Developer- Background
- A developer needs to integrate a third-party payment gateway API into a Django application. The gateway documentation only provides cURL examples.
- Problem
- Manually translating complex JSON payloads and authentication headers into Python requests syntax is slow and error-prone.
- How to Use
- Paste the cURL POST command into the input field, enable 'Pretty-print body' and 'Include comments', and copy the resulting Python code.
- Example Config
-
curl -X POST https://api.gateway.com/v1/charges -H "Authorization: Bearer sk_test_123" -H "Content-Type: application/json" -d '{"amount": 2000, "currency": "usd"}' - Outcome
- A clean Python script using requests.post() with a formatted payload dictionary and authorization headers.
2. Replicating Browser Requests for Web Scraping
Data Analyst- Background
- An analyst wants to scrape public data from a website that requires specific user-agent and cookie headers to bypass basic bot detection.
- Problem
- The browser's network tab provides a massive cURL command containing dozens of headers that are tedious to format manually in Python.
- How to Use
- Copy the request as cURL from the browser developer tools, paste it into the converter, and generate the Python equivalent.
- Example Config
-
curl 'https://example.com/data' -H 'User-Agent: Mozilla/5.0' -H 'Cookie: session_id=abc123xyz' - Outcome
- A Python requests script containing the exact headers and cookies needed to successfully fetch the data.
Try with Samples
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Python Samples
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FAQ
Does this tool support all HTTP methods?
Yes, it parses GET, POST, PUT, DELETE, PATCH, and other standard HTTP methods defined in your cURL command.
How does it handle JSON payloads?
It extracts the raw data payload and formats it as a Python dictionary or string, with an option to pretty-print the structure.
Can it convert multiple headers?
Yes, all headers specified with -H or --header flags are parsed and converted into a Python dictionary.
Does it support file uploads?
It converts standard form data and payload flags, but complex multi-part file uploads should be verified manually in the generated code.
Is my API key or token safe?
Yes, the conversion is performed entirely in your browser, meaning your sensitive headers and tokens are never sent to a server.