How to Extract IPs from a JSON File using Python 2.7

Learn how to efficiently extract IP addresses from a JSON file using Python 2.7 and save them to a text file for your projects.
---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Receive IPs from JSON file

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Extract IPs from a JSON File using Python 2.7

In the world of programming, working with JSON files is a common task. One challenge many developers face is extracting specific data from these files, particularly when dealing with IP addresses. If you find yourself wanting to retrieve all the IPs in the addressPrefixes section of a JSON file using Python 2.7, you're in the right place. This guide will walk you through the steps to accomplish this task efficiently.

Understanding the Problem

A user has a JSON file that includes a range of IPs and IP blocks. They want to extract all the IP addresses from the addressPrefixes field within this file and then save them to a text file for further use. This requirement involves parsing the JSON data and organizing the output appropriately.

Step-by-Step Solution

Step 1: Downloading the JSON File

The first thing you need to do is download the JSON file. In this example, we are fetching Microsoft Azure public IP data. You can use the urllib library to retrieve this file. Here’s a snippet of code to do just that:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Loading the JSON Data

Once you have downloaded the file, the next step is to read this file and load its content into a Python data structure. This is done using the json library, which allows you to work with JSON formatted data easily.

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Extracting the IP Addresses

After loading the data, you can start extracting the IP addresses from the addressPrefixes section of each item in the values array. Here’s how to do that:

[[See Video to Reveal this Text or Code Snippet]]

At this point, ips will be a 2D array since each entry in values might contain multiple IP addresses.

Step 4: Flattening the Array (Optional)

If you prefer a 1D array instead – which means you want all IPs listed in a single array without nested arrays – utilize NumPy to flatten the array:

[[See Video to Reveal this Text or Code Snippet]]

Step 5: Saving the IPs to a Text File

Finally, to save the extracted IPs into a text file, you can use the following code snippet:

[[See Video to Reveal this Text or Code Snippet]]

This code opens a new text file (or creates one if it doesn't exist) and writes each IP address on a new line.

Conclusion

Now you have all the IPs extracted from the JSON file and saved in a text file, ready for your use. Working with JSON can sometimes feel daunting, but with a clear strategy and a few lines of Python code, you can simplify the process significantly.

If you have any further questions or need assistance with your Python projects, feel free to reach out. Happy coding!