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How to POST JSON data with Python Requests?

python
requests
json
http-requests
Anton ShumikhinbyAnton Shumikhin·Oct 8, 2024
TLDR

To execute a POST request with requests.post and supply JSON data, pass a dictionary to the json parameter:

import requests response = requests.post('https://api.example.com/data', json={'key': 'value'}) print(response.json())

This nifty code snippet will automatically set Content-Type to application/json and encode your dictionary into a JSON-formatted string. Just remember to update Requests to version 2.4.2 or higher, as the json= parameter was introduced in that release. Also ensure your server is expecting application/json, otherwise it will be like speaking in Klingon to a Star Wars fan.

When to use json, data or files

In the context of Python's requests module, the way data is packaged and couriered depends on the nature of the payload and the receiver's expectations (like a secret Santa 🎅...without the secret part):

  • json=<dictionary> - For JSON data. Automagically gets serialized.
  • requests.post(url, data=obj) - For form data. Defaults to application/x-www-form-urlencoded.
  • requests.post(url, files=files_obj) - Uploading files. Sends as multipart/form-data.
  • Using headers explicitly to set a custom Content-Type:
import requests import json headers = {'Content-Type': 'application/json'} # Make sure the receiver understands JSON data = {'key': 'value'} response = requests.post('https://api.example.com/data', data=json.dumps(data), headers=headers)

Remember, it's crucial to match content types (like matching socks 🧦), unless you fancy 400 Bad Request errors.

Troubleshooting common issues

Matching Content-Type with the server's expectations

The 'Content-Type' of your request should match the server's specification to avoid awkward misunderstandings that end in 400 Bad Request errors, like bringing a skateboard 🛹 to a bowling 🎳 match.

Verifying JSON acceptance

Before sending a JSON payload, kindly confirm that the server is expecting JSON. This can save you a potential round of 'he said, she said' with your server.

Bypassing manual serialization

Leave the low-level serialization heavy-lifting to requests, the json= parameter does a decent job, saving you time for important stuff like... brewing fresh coffee ☕️.

Advanced usage and strategies

Additional headers

When you need to send extra information with your request, like a secret handshake, you can append additional headers, like the 'Authorization' token, or 'Accept' if you're expecting a JSON response:

headers = { 'Content-Type': 'application/json', 'Authorization': 'Bearer YOUR_ACCESS_TOKEN', 'Accept': 'application/json' # If you expect a JSON response } response = requests.post(url, json=menu, headers=headers)

Remember: no attachments! Headers aren't your personal email 📬.

Handling response content

Inspecting the status_code is crucial (since postmen don't deliver to homes when it's raining). Based on the server's response type, different actions can be taken. Remember, not every request reflects a smiley face 😀:

if response.status_code == 200: print("Success!") data = response.json() # Then parse the response elif response.status_code == 404: print("Not Found.") # Oops, check your URL spellings!

Asynchronous requests

For high-volume or time-sensitive tasks, async frameworks like httpx or aiohttp can be your best friends. They're like Quick Quidditch brooms 🧹 for your post requests.