The simplest way to do this JSON to CSV conversion is with dasel. With that in mind, let’s review some tools for converting from JSON to CSV at the command line. So although it seems like CSV conversion can be done by hand in python, or your language of choice, using an existing tool that is known to handle the edges cases well it the way to go. Some implementations disallow such content while others surround the field with quotation marks, which yet again creates the need for escaping these if they are present in the data. Separating fields with commas is the foundation, but commas in the data or embedded line breaks have to be handled specially.

The CSV file format is not fully standardized. Things get more complex from there, and even the CSV standard does not specify how to handle all the edge cases and some formatting options are non-compatible. It was derived from JavaScript, but as of 2017 many programming languages include code to generate and parse JSON-format data.1997,Ford,E350, 'Go get one ''now'' they are going fast'

JSON is a language-independent data format. JSON is a very common data format used for asynchronous browser-server communication, including as a replacement for XML in some AJAX-style systems. CSV implementations may not handle such field data, or they may use quotation marks to surround the field. The basic idea of separating fields with a comma is clear, but that idea gets complicated when the field data may also contain commas or even embedded line-breaks. In computing, JavaScript Object Notation or JSON is an open-standard file format that uses human-readable text to transmit data objects consisting of attribute-value pairs and array data types (or any other serializable value). The use of the comma as a field separator is the source of the name for this file format. Each record consists of one or more fields, separated by commas. In computing, a comma-separated values (CSV) file stores tabular data (numbers and text) in plain text.

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