In this chapter, I’ll walk you through how to create a script that can convert CSV, SQL, or Google Sheets data into JSON or XML. The main modules of this tutorial are JSON and CSV.
Table of Contents: JSON and XML Converter
- Why JSON, XML converter Matters
- JSON Converter
- XML Converter
- Full Python Scripts of JSON and XML converter
- GOOGLE Latest Trending API Endpoint Recommendation
Why JSON, XML converter Matters
This data type is widely used in data interchange and applications such as APIs, mobile applications, web applications, IoT, etc. Basically, you might be aware, most automation and bot tutorials I shared before are more or less dealing with JSON format data. And if you are a marketer, JSON product data feed must be a familiar term you often hear.
XML, or Extensible Markup Language, is a markup language similar to HTML, but it doesn’t have predefined tags to use. Instead, you define your own tags designed specifically for your needs. This is a powerful way to store data in a format that can be stored, searched, and shared.
XML is an alternative data format to JSON. If you are an SEO expert, XML must be a familiar term to you because Google SEO sitemap is in an XML data format. Some platforms like WeChat API allow developers to use either JSON or XML data format to interchange with servers, or applications.
A JSON converter or XML converter embedded into your application is crucial. It’s because it can create seamless communication with different servers or platforms. For example, probably your data inventory is stored in SQL format, however, your buyers might pay you and grab your data via an API. So these two data format is super helpful for interchange and communication.
In this tutorial, I’ll take a CSV file for example and if you are interested in the other two data formats SQL and Google Sheets, please check out this article.
First thing first, we need to create an empty dictionary data format as it’s essentially a mix of dictionaries and lists. In python, there are several core data types. They are integer, string, float, boolean, list, Tuple, and Dictionary. I’ll release another video to elaborate more in detail.
Then, you can open it to output your prepared data in a CSV format using the DictReader method. When we loop each row of data in the CSV we need to set a key at least it’s because JSON is a structure like a tree. There are branches under a root and lots of small branches under each branch. We need to select at least one key as the entry point for a different type of data.
Last but not least, we create a JSON file using the open method and dump the data from CSV with an indent 4. The indent parameter specifies the spaces that are used at the beginning of a line. We can use the indent parameter of json.dump() to specify the indentation value. By default, when you write JSON data into a file, Python doesn’t use indentations and writes all data on a single line, which is not readable.
Although XML data format doesn’t have any predefined tags needed to use, it has required a few basic header and footer settings.
First thing first, we need to claim the version and the encoding version
<?xml version=”1.0” encoding=”UTF-8”?>
Then, it’s the XML file body naming
Within the body, it’s the data from a CSV file. It consists of the key name and each line of data name and value.
In the coding, we would use the format string and write a method to convert CSV into XML data.
Full Python Scripts of JSON and XML converter
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Q1: What is JSON and XML Converter?
A: JSON and XML Converter is an online tool that allows users to convert data between JSON and XML formats.
Q2: Why should I use JSON and XML Converter?
A: JSON and XML Converter is useful for developers and businesses who need to convert data between JSON and XML formats to ensure compatibility and interoperability between different systems and platforms.
Q3: Is JSON and XML Converter free to use?
A: Yes, JSON and XML Converter is completely free to use. There are no hidden charges or subscription fees.
Q4: Can I convert large files using JSON and XML Converter?
A: Yes, JSON and XML Converter supports the conversion of large files. However, it is recommended to check the file size limit mentioned on the website for optimal performance.
Q5: How does JSON and XML Converter work?
A: JSON and XML Converter works by taking input data in either JSON or XML format and converting it to the desired output format. It maintains the structure and integrity of the data during the conversion process.
Q6: Does JSON and XML Converter support nested data structures?
A: Yes, JSON and XML Converter supports nested data structures. It can handle complex data hierarchies and convert them accurately.
Q7: Can I convert multiple files simultaneously using JSON and XML Converter?
A: No, JSON and XML Converter currently supports the conversion of one file at a time. However, you can convert multiple files sequentially.
Q8: Is JSON and XML Converter compatible with all operating systems?
A: Yes, JSON and XML Converter is a web-based tool and is compatible with all major operating systems, including Windows, macOS, and Linux.
Q9: Is there a limit to the number of conversions I can perform using JSON and XML Converter?
A: No, there is no limit to the number of conversions you can perform using JSON and XML Converter. You can use it as frequently as you need.
Q10: Is the data I upload to JSON and XML Converter secure?
A: Yes, JSON and XML Converter takes data security seriously. All uploaded files are automatically deleted from the server after the conversion process is completed.
Google API Endpoint Recommendation
Google Shopping Product Scraper API
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More API options from the Google collection.