Python multilevel json to csv. to_csv() method.

Python multilevel json to csv. Support for Various Data Processing Tools: Though JSON files are lightweight and easy for data exchange, CSV files are more comfortable to visualize and analyze using databases like spreadsheets and programming languages like Python. Two popular data formats are JSON (JavaScript Object Notation) and CSV (Comma-Separated Values). It is primarily used for transmitting data between an internet application and a server. For unstructured JSON see this Apr 28, 2025 · Converting CSV to JSON using Python involves reading the CSV file, converting each row into a dictionary and then saving the data as a JSON file. Oct 31, 2022 · In this tutorial, you’ll learn how to convert data stored in the JSON format into the CSV format using Python. Step-by-step guide with examples using pandas and json libraries for simple and nested data. May 28, 2017 · Then with the dataframe in a table format, it's easy to convert to CSV with the "df. Ideal for developers looking for practical coding solutions. This should work with deeply nested JSON, being able to normalize all of it into rows by the logic described above. io Your JSON input should contain an array of objects consistings of name/value pairs. Aug 5, 2025 · A CSV (Comma Separated Values) file is a plain text file where each line represents a data record, and fields within each record are separated by commas. Jul 2, 2025 · As a Python enthusiast and data wrangler, I've often faced the task of converting multiple JSON files to CSV format. May 15, 2019 · Above csv file which contains nearly 2000 rows. read_json() read_json converts a JSON string to a pandas object (either a series or dataframe). Here my json data =\ Mar 1, 2024 · Method 1: Using the csv and json Standard Libraries This method utilizes Python’s built-in csv module to read the CSV file and the json module to convert and output the data in a nested JSON format. Feb 13, 2016 · If you want to easily process CSV and JSON files with Python check out dataknead, my data parsing library. I’ve added some examples found online since I am unable to share what I was working on exactly but this is what it looks like in comparison to XML and JSON. We’ll show you how in this article. Oct 31, 2024 · Convert JSON to CSV using Pandas, Pandas is a library in Python that can be used to convert JSON (String or file) to CSV file, all you need is first read the JSON into a pandas DataFrame and then write pandas DataFrame to CSV file. Method 1: Using the json and csv libraries The json and csv libraries in Python provide built-in functions that make it easy to convert JSON data to CSV format. It's widely supported in Feb 17, 2022 · How to convert multi level json file to csv using python? Asked 3 years, 1 month ago Modified 3 years, 1 month ago Viewed 282 times Dec 2, 2021 · There is no need for your flatten_json function. This makes the data multi-level and we need to flatten it as per the project requirements for better readability, as explained below. Feb 10, 2019 · I have a CSV file which is downloaded from database(as it is in CSV) and now I have to parse into JSON Schema. Nov 24, 2024 · How to Efficiently Read Multiple JSON Records into a Pandas DataFrame Processing large datasets is a common task in data science, especially when dealing with JSON data generated from various sources such as logs or databases. The main reason for doing this is because json_normalize gets slow for very large json file (and might not always produce the output you want). Jul 16, 2020 · I want to build a JSON file from a CSV to represent hierarchical relations of my data. Let‘s get to it! The Rise of JSON and Legacy of CSV First, a quick primer on our two data formats. I ONLY need the Notes and Comments, not May 8, 2025 · Convert JSON to CSV in Python easily. Sep 7, 2021 · I know this question has been asked many times but none of the answers satisfy my requirement. It is a simple and Pythonic way to perform this task, maintaining readability and efficiency. Here’s an example: Jul 25, 2017 · 2 Don't use pandas for this - you would have to do a lot of manual unraveling to turn your table data into a hierarchical structure so why not just skip the middle man and use the built-in csv and json modules to do the task for you, e. Let’s say you’re using some parsed JSON, for example from the Wikidata API. Feel free to adapt the code to suit your specific needs. I have explored couple of solutions available and created a script (pasted below) for converting to json. Convert, read, write, and validate JSON files and handle JSON data for APIs and storage. However, as I am unaware of ‘agg’ and ‘lambda’ functionalities, I am getting a json file that has single-level hierarchy. This section covers CSV, JSON Jul 30, 2024 · Hello, Python enthusiasts! Today, we're tackling a common data conversion task: converting JSON to CSV. Jul 23, 2025 · Python is extremely useful for working with JSON ( JavaScript Object Notation) data, which is a most used format for storing and exchanging information. Oct 25, 2025 · Python Pandas Flatten Nested JSON Examples Most of the data extracted from the web through scraping are in the form of JSON datatype because JSON is a preferred datatype for transmitting data in web applications. Oct 7, 2017 · Use a loop that reads the JSON from each file, then writes a line to the CSV file from that JSON. Dec 27, 2023 · In this beginner‘s guide, we‘ll explore why you might need to convert JSON to CSV and provide code examples using Python and pandas to make the transition seamless. We then create a DataFrame from the list for analysis. Working with CSV, JSON, YAML files # Data serialization is about storing data in some format that is often structured. Online tool for converting JSON to CSV or TSV. . Jul 23, 2025 · Using the JSON module In this example, we use the json module to parse a nested JSON string. JSON's flexibility in representing complex, hierarchical data structures makes it a favorite for APIs and configuration files. The JSON files will be like nested dictionaries in Python. json) Step 2: Read the nested JSON file as line Step 3: Flatten Apr 12, 2025 · For example, if you have retrieved data from an API in JSON format and want to analyze it in a spreadsheet application like Microsoft Excel or Google Sheets, converting it to CSV would be a logical step. Extracting multiple JSON Objects from One May 22, 2023 · JSON and CSV are two different file formats, but you can convert between them in Python. to_csv ()" dataframe object method. I want to dynamically convert any nested JSON to a CSV file or Dataframe. The keys and the values are same in all the files. I'm making an API call using the requests library, which returns one JSON re Oct 30, 2024 · For JSON data with inconsistent, multi-level structures, the recursive extract_values function offers a powerful solution to extract values based on a predefined list of keys. What makes JSONify It stand out from other CSV to JSON converters available online is its ability to generate nested JSON. If you’re working with a multi-record JSON file where each line is a valid JSON dictionary, you might be wondering how to efficiently read these records into a Pandas A possible alternative to pandas. This approach is straightforward and well-suited for nested JSON structures. gov website on COVID data to one (or more) CSV files. Simplify the process of working with complex data structures and achieve a specific format for your data analysis tasks. I've tried solutions in both Node. Then: df. 17. g. See the docs for to_csv. May 13, 2022 · How to convert CSV to nested JSON in Python This is related to something like this. Our fast, simple, and free tool makes it easy to transform JSON data into CSV format for spreadsheets and analysis. May 21, 2025 · In this comprehensive guide, I‘ll walk you through everything you need to know about JSON to CSV conversion in Python – from basic techniques to advanced strategies for complex data structures. json_normalize is to build your own dataframe by extracting only the selected keys and values from the nested dictionary. Nov 30, 2022 · Suppose we are given a multi-level or nested JSON file and we need to convert this file to CSV file so that we can use it for further analysis. Nov 22, 2022 · I'm trying to flatten this json response into a pandas dataframe to export to csv. According to [source Sep 24, 2024 · A JSON to CSV converter works by parsing JSON data, extracting key-value pairs, and mapping them to CSV columns. Apr 8, 2024 · But now, I would like to extract those data into a CSV file, without taking into account the specific HTML jargon (for example <br> / </br>, etc. JSON (JavaScript Object Notation) has become a hugely popular way of transmitting data across the web. To convert a text file into JSON, there is a json module in Python. It provides greater control over how the data is transformed, especially for manually handling nested structures. It iterates through the JSON structure, flattening nested objects and arrays into tabular rows, and then generates a CSV file where each row represents a JSON object or element. Upvoting indicates when questions and answers are useful. Instead, let’s assume that we found our favorite API to work with and that our request makes perfect sense and now we have to deal with the API’s response, JSON in this case. My objective is to combine the data in all the files into a single CSV file so I can analyze the output . Nov 22, 2021 · In this article, we are going to see how to convert nested JSON structures to Pandas DataFrames. 2. Import Online JSON Formatter and Online JSON Validator provide JSON converter tools to convert JSON to XML, JSON to CSV, and JSON to YAML also JSON Editor, JSONLint, JSON Checker, and JSON Cleaner. I've attached a series of example arrays. I'm trying to convert a CSV to JSON. No software or tools to install. I have Python flatten multilevel/nested JSONI am trying to convert JSON to CSV file, that I can use for further analysis. I tried doing it like this but I didn't work. I am looking for multi-level and I Jul 2, 2025 · Introduction In the world of data processing and analysis, JSON (JavaScript Object Notation) and CSV (Comma-Separated Values) formats reign supreme. ) that I have in the original JSON file. On the other hand, CSV's simplicity and universal compatibility with spreadsheet applications make it indispensable for Aug 20, 2021 · 2 I want to convert nested json into csv format including sub rows for grouped list/dict. Dec 2, 2022 · In order to convert the YAML file to a CSV file using Python first I needed to look at the data to see what data cleaning is required. Oct 16, 2023 · Converting JSON data to CSV format in Python can be achieved using various libraries and techniques. I can successfully concatenate the JSON files but Dec 9, 2009 · With the pandas library, this is as easy as using two commands! df = pd. It looks like this: j = [ { "id": 401281949, "teams": [ { This python script converts valid, preformatted JSON to CSV which can be opened in excel and other similar applications. This is particularly useful for those looking to create multilevel visualizations such as zoomable/drilldown treemaps and Mar 23, 2019 · I've tried to follow a bunch of answers I've seen on SO, but I'm really stuck here. Issue I looked at 18. May 4, 2023 · So I have this nested json and I'm struggling with the conversion into a tabular form because of how it's shaped, it could become a . I want to convert a flat dataframe file to Nested JSON format: I have a csv (sales_2020) file in the following fo Convert complex & nested JSON into CSV files you can download & analyze in Excel. So, here is an alternative way to flatten the nested dictionary in pandas using glom. Learn to export fields, handle missing keys, and flatten nested data into clean, structured CSV files. This beginner-friendly guide will Jan 29, 2025 · CSV, on the other hand, is a simple text format where each line represents a row of data, and columns are separated by commas. Jul 25, 2025 · Working with JSON is a regular part of my day, whether I am writing scripts, testing APIs, or trying to extract some useful patterns from large datasets. Apache NiFi is used as open-source software for automating and managing the data flow between systems in most big data scenarios. Jun 3, 2022 · I was asked to help parse a JSON file that is delivered by the iTunes Store Customer Reviews API JSON endpoint. Don't worry this link just github gist Problem I am facing is its Multi line Header ch Dec 5, 2024 · Learn various methods for converting nested JSON data into CSV format using Python. Nov 16, 2021 · I appear to have exhausted the internet searching for what feels like a common occurrence, and I need some help, please. For example, it could be: files in YAML or JSON format files in CSV format database In addition, Python allows you to write down objects of language itself (this aspect is not covered, but if you are interested, look at the Pickle module). Here’s an example: Parsing Multi-level Json in python Asked 8 years, 3 months ago Modified 8 years, 3 months ago Viewed 24k times Jul 10, 2025 · If you’re learning Python and want to gain real-world, job-ready skills, one of the best places to start is working with data files. A robust ETL data pipeline built with Python that demonstrates enterprise-level data engineering practices including: 🎯 Config-driven architecture using YAML with environment variable overrides 📊 Multi-format Jun 19, 2023 · This blog will show you how to efficiently convert nested JSON files into a Pandas DataFrame, a vital skill for data scientists and software engineers. However, it can become challenging when dealing with multiple JSON objects stored within a single file. Nov 24, 2022 · In this article, we will learn how to convert multiple JSON files to CSV file in Python. Also, I am just posting a minimal subset Dec 3, 2020 · I have been trying and failing all day to write multiple JSON files I am pulling from the nys. to_csv() method. THIS CONVERSION is NOW AVAILABLE as an API at ConvertCsv. Now the issue with this structure is we have nested dictionaries or lists when we convert our JSON file. However, I am asked to create a script that reads csv file and composes json request. Continue to help good content that is interesting, well-researched, and useful, rise to the top! To gain full voting privileges, Aug 14, 2022 · These json files refer to the collection of measurements through a 3D camera. There are two main ways to accomplish this: Using the popular Pandas library to convert JSON to CSV, and Using only the built-in JSON and CSV libraries Let’s dive into how to use both of these methods to convert JSON to CSV. Sep 12, 2025 · Convert JSON to CSV in Python with ease. The upper levels in the key data correspond to frames and each frame has its own metadata and can have multiple detections objects, each object with its own dimensions (here represented by dim1 and dim2). In this blog, we will explore how to convert JSON to CSV using Python, a powerful and versatile programming language. dump. This is particularly useful for those looking to create multilevel visualizations such as zoomable/drilldown treemaps and May 3, 2023 · Multi-level Nested JSON Recently, I went down a rabbit hole, trying to figure out JSON file parsing in Python from the Jupyter Notebook platform. 100% online tool works with any valid JSON object or array. It is not so important how this API works or if there are better APIs for this. For instance, a CSV containing employee data with columns for department and position may need to be grouped by departments, with each department containing its list of employees and positions in a JSON structure. Test various nesting depths and array combinations to ensure data integrity throughout the transformation process. This script can handle nested json with multiple objects and arrays. JSONify It is a CSV to JSON converter designed to help you easily convert tabular data from spreadsheets, CSV files or any delimited file into JSON. Method 1 involves reading a JSON file using the pandas. to_csv() Which can either return a string or write directly to a csv-file. That is why I made this free online JSON to CSV converter. Convert JSON to Excel. Just pass the elements portion directly to json_nomalize flat_data = json_normalize(data['elements']) That returns Aug 20, 2016 · I am very new to Python/JSON so please bear with me on this. # Lo Mar 1, 2024 · Problem Formulation: Developers frequently need to convert flat structured CSV files into a hierarchical nested JSON format. Subsequently, we access specific values within the JSON structure using dictionary keys, demonstrating how to retrieve information such as the name, age, city and zipcode. Oct 14, 2022 · Big Data: Convert nested JSON files to data frame and CSV in python Step1: Iterate through multiple JSON files using glob. I found some code online which converts CSV to JSON as follo When working with JSON arrays and nested objects in CSV conversion projects, always validate your output against the original data structure. It's commonly used for spreadsheets and databases due to its simplicity and readability. Two of the most common formats you’ll encounter are CSV (Comma-Separated Values) and JSON (JavaScript Object Notation). CSV Oct 29, 2020 · I'm trying to convert a series of multi-level json arrays into csv files. Mar 9, 2025 · Python JSON to CSV Conversion: A Comprehensive Guide Introduction In the world of data handling and manipulation, JSON (JavaScript Object Notation) and CSV (Comma - Separated Values) are two widely used data formats. Not sure if this is the most optimal approach, but it definitely worked for me. glob (*. I tried to use pandas Jan 22, 2021 · trying to convert multiple json files to 1 csv file tried 2 ways, first one using pandas , second using json and csv writer about my json keys are unordered and some keys are different in every fi Use this tool to convert JSON into CSV (Comma Separated Values) or Excel. These are notes, comments and emails that came from our CRM (Highrise). By specifying the delimiter in the csv. In this article, we will see some techniques to easily extract multiple JSON Objects from a file. JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. JSON is a lightweight, human - readable format that is often used for transmitting data between a server and a web application, or for storing structured data. Developed a production-grade, automated data integration pipeline to unify fragmented sales data across multiple formats (CSV, JSON, Parquet) for enterprise analytics and reporting. For example, a CSV file containing data like names, ages and cities can be easily transformed into a structured JSON array, where each record is represented as a JSON object. JS and Python, and both have compiled but returned empty strings. Feb 23, 2024 · This code uses a one-liner list comprehension to extract values from a flat JSON object and writes them, along with the keys as headers, to a CSV file with Python’s csv module. This article will guide Aug 20, 2025 · Learn how to work with JSON data in Python using the json module. CSVis a simple text-based file format used to store tabular data, where each line represents a row, and columns are separated by commas. Nov 7, 2013 · How to create Two Level JSON, if i have to get data in multiple lists, like below: Category's List > Item's List For an example: Sony > LED TV, Laptop, Phones etc. json — JSON encoder and decoder in the Python documentation, but it's pretty discouraging to read through this horrible-looking documentation. read_json() function and converting the resulting DataFrame to a CSV file with the DataFrame. reader function, we accurately parse the CSV data which is then serialized into JSON format using json. Earlier i have created si Jun 27, 2017 · You'll need to complete a few actions and gain 15 reputation points before being able to upvote. Feb 23, 2024 · Here we loop over the list of JSON objects, manually unpack and combine nested structures under ‘details’, convert lists to comma-separated strings, and append each flattened dictionary to a list. Nov 6, 2024 · Learn how to convert JSON data to CSV format in Python using pandas and built-in libraries. Flattening multilevel/nested JSON We need to find a way so we can flatten the nested JSON file. Jul 12, 2025 · What is JSON and CSV? JSON is a lightweight, text-based data format commonly used to exchange data between web servers and clients. Python, with its rich libraries and simplicity, provides excellent support for converting JSON data into CSV format. A step-by-step guide with practical examples and best practices. Apr 20, 2025 · Converting JSON to CSV in Python: A Comprehensive Guide Introduction In the realm of data processing and analysis, working with different data formats is a common task. Method 3: Using Recursion for Deeply Nested Structures Recursion provides a methodical way to handle deeply nested JSON objects by Oct 23, 2023 · Whether you’re looking for information on Python JSON to CSV conversion or converting JSON to CSV in Python using pandas, this tutorial has you covered. Dec 26, 2022 · This recipe helps you convert multi nested JSON files into the CSV in NiFi. import csv import json with open("1. It is a robust and reliable system to process and distribute data. csv. An example of a simple JSON file: As you can see in the example, a single key-value pair is separated by a colon (:) whereas each key-value pairs are separated by a comma (,). On Convert JSON arrays to CSV format for Excel and spreadsheet applications. Issue with my structure is that I have quite some nested dict/lists when I convert my JSON file. Relations are parents and children : a child can have one or many parents and a parent can have one or many ch. Learn how to convert deeply nested JSON structures to CSV format using Python in Jupyter for effective data analysis. The JSON schema has multiple levels of nesting and some of the values in th I am trying to convert JSON to CSV file, that I can use for further analysis. Happy coding! If you want to get online Python tutoring, contact us now to start learning Python. It can also be a single object of name/value pairs or a single object with a single property with an array of name/value pairs. It stores data in key-value pairs and is typically used for data transmission in web applications. JSON with multiple levels In this case, the nested JSON data contains another JSON object as the value for some of its attributes. JSON is great for nesting, but when it is time to send data to someone or do quick spreadsheet analysis, JSON just gets in the way. On the other hand Sep 14, 2022 · I have about 37 nested JSON files. Jul 23, 2025 · In this article, we will discuss how can we convert nested JSON to CSV in Python. Aug 19, 2022 · Hello, I am relatively new to python. Here’s an example: Mar 1, 2024 · Method 1: Using Python’s csv and json Standard Libraries This method employs the use of Python’s built-in csv module to read CSV data, and the json module to convert and output that data in the JSON format. It turns even complex JSON into clean, flat CSV Mar 7, 2024 · Pandas is a powerful data manipulation library in Python, perfect for data analysis and cleaning. By the end of this article, you'll be equipped with the knowledge and tools to easily transform JSON data into CSV format using Python. csv", "rU") as f: # open your CSV file for reading JSONify It is a CSV to JSON converter designed to help you easily convert tabular data from spreadsheets, CSV files or any delimited file into JSON. Try for free today. I could do this in R but we need to use Python so as to transform this to Python/Spark/MongoDB. What's reputation and how do I get it? Instead, you can save this post to reference later. This comprehensive guide will walk you through the process, offering insights, best practices, and code examples to help you master this essential skill. The aim is Jan 17, 2025 · Also, Python has a library called Pandas for efficient data analysis of CSV files. Below are some operations that we perform while working with Python CSV files in Python Reading a CSV file Reading from a CSV file is done using the Jul 12, 2025 · JSON (JavaScript Object Notation) is a data-interchange format that is human-readable text and is used to transmit data, especially between web applications and servers. Automatic column detection and data mapping. Some sample examples are: in Jan 12, 2016 · Introduction json-to-multicsv is a little program to convert a JSON file to one or more CSV files in a way that preserves the hierarchical structure of nested objects and lists. These formats are everywhere—in spreadsheets, APIs, web applications, and data pipelines. By the end, you‘ll have the knowledge to handle any JSON-to-CSV conversion task that comes your way. I want to parse CSV file line by line and convert it to JSON and send over websocket. Convert JSON files to CSV in a few clicks. This article provides solutions for transforming a simple Jul 1, 2024 · Flatten JSON format different methods using Python! Flattening a JSON object can be useful for various data processing tasks, such as transforming nested JSON structures into a more tabular format … Nov 23, 2024 · Learn how to convert a CSV file into a multiline JSON format using Python. Explore practical code examples and solutions for common issues. Based on the verbosity of previous answers, we should all thank pandas for the shortcut. In this answer, we will explore two popular methods to accomplish this task. Ideally, each of the 2 nested arrays here would get its own row in the produced csv file. Mar 1, 2024 · This method involves Python’s built-in csv and json libraries to read a CSV file with a custom delimiter and write the data to a JSON file. Here is a step-by-step guide on how to do this: 1. Understanding Data Formats: JSON vs CSV Before diving into conversion techniques, let‘s make Aug 16, 2018 · I am very new to Python and have several YAML files that I need to convert into csv. xslx or . About A python script to convert JSON files into Excel, CSV and combine multiple CSV to Single Excel Dec 4, 2020 · After understanding the json structure, you can co-relate the prefix and event values and devise an algorithm to write some particular values into a CSV row. Aug 26, 2020 · The following handy little Python 3 script is useful for sifting through a directory full of JSON files and exporting specific values to a CSV for an ad-hoc analysis. It's the kind of dime a dozen data munging tool that's too trivial to talk about, but I'll write a bit anyway for a couple of reasons. Dec 13, 2023 · Learn how to convert nested JSON to CSV using Python's Pandas with examples covering different structures using json_normalize() and to_csv(). Before that just recall some terms : JSON File: A JSON file may be a file that stores simple data structures and objects in JavaScript Object Notation (JSON) format, which may be a standard data interchange format. Python is a lovely language for data processing, but it can get a little verbose when dealing with large nested dictionaries. mrc7j h4 swpc gbwt vss pe700lo ogafe se6 45mt 3ky