Export json to csv python6/19/2023 ![]() Think of it as a jq that supports selection on formats besides just JSON. The simplest way to do this JSON to CSV conversion is with dasel. Convert JSON to CSV via the Command Line. Let's say you do that and have a new flattened dictionary named r. With that in mind, let’s review some tools for converting from JSON to CSV at the command line. You could take the JSON formatted json_data above and unpack it manually, removing nested parts, which means looking through the response and making your own Python dictionary with only single level i.e. You need to essentially flatten the structure yourself, perhaps decide what is important or what you want to can leave out. ![]() under "result" there "fields" and then more values, and CSV files can't display that directly. There is no simple way to write this directly to a CSV file, because there are nested structures: e.g. The issue is that is will parse it a little strangely. It can read straight from a JSON string (our text above). Steps to Convert a JSON String to CSV using Python Step 1: Prepare a JSON String To start, prepare a JSON string that you’d like to convert to CSV. I would suggest using Pandas, which can do a lot of the tedious work for you very easily. We can use the json module's function loads to load a string): json_data = json.loads(text) The response in this case is a raw string. Call the ‘writer’ function passing the CSV file as a parameter and use the ‘writerow’ method to write the JSON file content (now converted into Python dictionary) into the CSV file. We get the text data out by using the read() method: text = response.read() You have to convert the JSON data into a Python dictionary using the ‘load’ method. Next, we will open the JSON file & load its data in the data object. ![]() Import json # Used to load data into JSON format First, we will import the json and csv modules. It is in Python 2, but I will show you how to make it work in Python 3. On the page you linked there is actually a Python example on how to get the data.
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