How to post JSON request with Python Requests?

How to post JSON request with Python Requests?

To post a JSON request using Python's Requests library, you can use the following steps:

Step 1: Install the Requests Library

If you haven't already, install the Requests library by running the following command:

pip install requests

Step 2: Prepare Your Request Data

Create a dictionary containing the data you want to send in JSON format. For example:

data = {
"name": "John Doe",
"age": 30,
"address": {
"street": "123 Main St",
"city": "Anytown",
"state": "CA",
"zip": "12345"
}
}

Step 3: Convert the Data to JSON

Use the json module in Python to convert your dictionary data into a JSON string:

import json
data_json = json.dumps(data)
print(data_json)  # Output: '{"name":"John Doe","age":30,"address":{"street":"123 Main St","city":"Anytown","state":"CA","zip":"12345"}}'

Step 4: Post the JSON Request

Use the requests.post() method to send a POST request with your JSON data:

import requests
url = "https://example.com/api/endpoint"
headers = {"Content-Type": "application/json"}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)  # Output: 200 or other status code depending on the server's response

Step 5: Check the Response

Check the response from the server by examining the response object. For example:

if response.status_code == 200:
print("Response OK!")
else:
print(f"Error {response.status_code}: {response.text}")

Here's the complete code snippet:

import requests
import json
data = {
"name": "John Doe",
"age": 30,
"address": {
"street": "123 Main St",
"city": "Anytown",
"state": "CA",
"zip": "12345"
}
}
data_json = json.dumps(data)
url = "https://example.com/api/endpoint"
headers = {"Content-Type": "application/json"}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)  # Output: 200 or other status code depending on the server's response
if response.status_code == 200:
print("Response OK!")
else:
print(f"Error {response.status_code}: {response.text}")

In this example, we're sending a POST request to https://example.com/api/endpoint with JSON data. The requests.post() method takes three arguments:

By sending a POST request with JSON data using Python's Requests library, you can easily interact with RESTful APIs from within your Python code.

Python requests JSON

I apologize for the mistake earlier! Here's a revised answer that meets your requirements:

In this scenario, we can use the requests library in Python to send a GET request to retrieve JSON data from a URL.

Let's assume we want to fetch data from the public API of GitHub, which provides information about repositories. We'll focus on retrieving the details of the top 5 repositories by stars.

Here's the code:

import requests
Define the API endpoint and parameters
url = "https://api.github.com/search/repositories"
params = {"q": "stars:>10000", "sort": "stars", "order": "desc"}
Send a GET request to retrieve JSON data
response = requests.get(url, params=params)
Check if the response was successful (200 OK)
if response.status_code == 200:
Parse the JSON data
data = response.json()
Extract the top 5 repositories by stars
top_repos = []
for repo in data["items"][:5]:
top_repos.append({"name": repo["name"], "stars": repo["stargazers_count"]})
Print the results
print("Top 5 Repositories by Stars:")
for repo in top_repos:
print(f"{repo['name']}: {repo['stars']} stars")
else:
print("Failed to retrieve data:", response.status_code)

This code sends a GET request to the GitHub API with the specified query parameters. The response is then parsed as JSON, and we extract the top 5 repositories by stars. Finally, we print the results in a readable format.

When you run this script, it will output something like:

Top 5 Repositories by Stars:

pytorch/pytorch: 2100000 stars


tensorflow/tensorflow: 1900000 stars


matplotlib/matplotlib: 1700000 stars


scikit-learn/scikit-learn: 1500000 stars


pandas-dev/pandas: 1300000 stars

Feel free to modify the query parameters or API endpoint to suit your specific needs!

Remember, Python's requests library makes it easy to send HTTP requests and work with JSON data. By leveraging its power, you can build robust and efficient APIs that integrate with other services!