python requests post dict to json

Python Requests Post Dict to JSON

If you are working with APIs or web services, you may need to send data in JSON format. Python Requests is a popular library that makes it easy to send HTTP requests and handle responses. In this post, we will explore how to convert a Python dictionary into a JSON string using Requests.

Using the json Parameter in Requests.post()

The simplest way to send a dictionary as JSON in a POST request is to use the json parameter in the Requests.post() method. Here is an example:


      import requests

      data = {"name": "John", "age": 30}
      url = "https://example.com/api/user"

      response = requests.post(url, json=data)

      print(response.json())
    

In this example, we have a dictionary called data that contains two keys: "name" and "age". We pass this dictionary as the value of the json parameter in the Requests.post() method. This will automatically serialize the dictionary into a JSON string and set the Content-Type header to "application/json".

The response object returned by Requests has a json() method that can be used to parse the JSON response. In this example, we simply print the response JSON to the console.

Using the json.dumps() Method

If you need more control over the JSON serialization process, you can use the json.dumps() method from the built-in json module. Here is an example:


      import json
      import requests

      data = {"name": "John", "age": 30}
      url = "https://example.com/api/user"

      json_data = json.dumps(data)

      headers = {"Content-Type": "application/json"}
      response = requests.post(url, data=json_data, headers=headers)

      print(response.json())
    

In this example, we use the json.dumps() method to serialize the data dictionary into a JSON string. We then pass this string as the value of the data parameter in the Requests.post() method. We also set a custom Content-Type header to tell the server that we are sending JSON data.

The response object returned by Requests is the same as before, and we can parse the JSON response using the json() method.