Json to text file javascript

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To convert JSON to a text file in JavaScript, the core approach involves first transforming the JSON object into a string, then creating a Blob from that string, and finally generating a downloadable link. This process ensures that the data is handled client-side without needing server interaction, making it efficient and secure. Here are the detailed steps:

  1. Parse JSON String to JavaScript Object (if necessary): If your JSON data is already a string, you might not need this step. However, if it’s a file or a complex structure, you’ll use JSON.parse() to convert it into a manipulable JavaScript object. For instance, a json text format example might look like {"name": "Zayd", "city": "Madinah"}.
  2. Convert JavaScript Object to Plain Text String: This is where you define how your JSON data will appear in the text file.
    • Simple Key-Value Pairs: For a basic json file example like {"product": "Dates", "quantity": 100}, you can iterate through the object’s keys and format them as Key: Value lines.
    • Complex Structures: For nested objects or arrays, you might need a more sophisticated flattening or serialization logic, or simply use JSON.stringify(yourObject, null, 2) to get a well-formatted JSON string that is itself a valid json text example.
  3. Create a Blob: A Blob (Binary Large Object) represents file-like immutable raw data. You’ll create a new Blob instance, passing your text string and specifying its MIME type as text/plain.
    • Example: new Blob([yourTextString], { type: 'text/plain' })
  4. Generate a Download URL: Use URL.createObjectURL() to create a DOMString containing a URL representing the Blob you just created. This URL can be assigned to an <a> tag’s href attribute.
    • Example: const url = URL.createObjectURL(blob);
  5. Trigger Download Programmatically:
    • Create a temporary <a> element in the DOM.
    • Set its href attribute to the URL generated in the previous step.
    • Set its download attribute to your desired filename (e.g., “mydata.txt”). This attribute prompts the browser to download the file rather than navigate to it.
    • Programmatically click() the <a> element to initiate the download.
    • Remove the temporary <a> element from the DOM.
    • Crucially: Revoke the object URL using URL.revokeObjectURL() once the download is initiated to release the memory. This is a vital step for memory management, especially in applications that handle many such conversions or downloads.

This method is robust for how to write json object to text file in javascript directly from the client-side, giving users immediate access to their converted data. The process is similar for convert text file to json javascript, just in reverse, using JSON.parse() on the text content to reconstruct the JSON object.

Table of Contents

Mastering JSON to Text Conversion in JavaScript

Converting data formats is a fundamental skill in web development. JSON (JavaScript Object Notation) is ubiquitous for data exchange, while plain text files remain essential for simplicity, human readability, and certain legacy systems. Understanding how to seamlessly convert JSON to text in JavaScript empowers developers to handle data transformations directly within the browser, offering a smooth user experience without relying on server-side processing. This approach is not only efficient but also enhances user privacy as data never leaves the client’s device.

The Essence of JSON: Structure and Format

JSON is a lightweight, human-readable data interchange format. It’s built upon two basic structures: a collection of name/value pairs (like an object or dictionary) and an ordered list of values (like an array). Its simplicity and self-describing nature have made it the de facto standard for APIs, configuration files, and data storage in modern web applications. A typical json text format example would be {"firstName": "Khalid", "lastName": "Ansari", "age": 45, "isStudent": false}. This json file example clearly illustrates how keys (strings) are mapped to values (which can be strings, numbers, booleans, arrays, objects, or null).

Understanding JSON Syntax

JSON syntax is a subset of JavaScript object literal syntax. It uses curly braces {} to define objects and square brackets [] for arrays. All keys must be strings, enclosed in double quotes, and values can be primitive types (string, number, boolean, null) or structured types (objects, arrays). Commas separate key-value pairs within an object and elements within an array. This strict adherence to syntax makes parsing consistent and reliable.

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Why Convert JSON to Text?

While JSON is excellent for structured data, there are many reasons why you might need to json to text file javascript.

  • Human Readability: Sometimes, a simple Key: Value format is easier for non-technical users to quickly scan and understand.
  • Legacy Systems: Older systems or applications might only accept plain text formats.
  • Simplified Logging: For basic log files or reports, plain text can be more straightforward than complex JSON structures.
  • Custom Formats: When you need a highly specific, non-standard output that JSON cannot directly represent without a custom parser.
  • Data Export: Users might prefer a simple .txt file for data exports, especially if they intend to copy-paste parts of it easily.

Core JavaScript Methods for Conversion

At the heart of json to text file javascript lies the JSON.stringify() method and the ability to programmatically create and trigger file downloads. These two elements, combined with careful data formatting, form the backbone of the conversion process. Route mapping free online

JSON.stringify(): The Foundation of JSON Serialization

The JSON.stringify() method converts a JavaScript value (object or array) to a JSON string. This is the first crucial step because file operations typically deal with strings or binary data, not raw JavaScript objects.

  • Basic Usage: JSON.stringify(value)
    • Example: JSON.stringify({ name: "Aisha", age: 28 }) would return '{"name":"Aisha","age":28}'.
  • Adding Readability with Spacing: You can pass a third argument to JSON.stringify() to specify the number of spaces to use for indentation, making the output json text example more readable.
    • Example: JSON.stringify({ name: "Omar", age: 35 }, null, 2) would return:
      {
        "name": "Omar",
        "age": 35
      }
      

    This is often the go-to for creating a json text file example that’s both valid JSON and human-friendly.

  • The replacer Function: A powerful but less commonly used second argument is a replacer function or an array.
    • Function: If replacer is a function, it’s called for each key-value pair, allowing you to modify or exclude values. This is incredibly useful for sanitizing data or handling sensitive information before serialization, though it adds complexity.
    • Array: If replacer is an array of strings or numbers, only the properties with names present in the array will be included in the JSON string. This can be used for selective serialization.

Creating Downloadable Files in the Browser

Once you have your desired text string, the next step in how to write json object to text file in javascript is to enable its download. This involves using Blob and URL.createObjectURL().

  • Blob Object: A Blob (Binary Large Object) represents a file-like object of immutable, raw data. You create it from your string data and specify its MIME type. For plain text, the type is text/plain.
    • Example: const blob = new Blob([yourFormattedText], { type: 'text/plain' });
  • URL.createObjectURL(): This static method creates a DOMString containing a URL that can be used to reference the Blob object. This URL is unique and ephemeral, existing only for the lifetime of the document in which it was created (or until revoked).
    • Example: const url = URL.createObjectURL(blob);
  • Programmatic Download Trigger:
    1. Create an <a> element dynamically: const a = document.createElement('a');
    2. Set its href to the url: a.href = url;
    3. Set its download attribute to the desired filename: a.download = 'data.txt';
    4. Append it to the body (briefly): document.body.appendChild(a);
    5. Simulate a click: a.click();
    6. Remove it: document.body.removeChild(a);
    7. Revoke the URL: URL.revokeObjectURL(url); This last step is crucial to free up memory and prevent memory leaks, especially in single-page applications or tools used frequently.

Practical Implementation: Step-by-Step Guide

Let’s walk through a concrete example of json to text file javascript, focusing on how to convert a JSON object into a plain text file with a custom key-value format.

Step 1: Define Your JSON Data

Imagine you have an array of JSON objects, perhaps fetched from an API or defined within your script. This represents your json file example data. Ipv6 binary to decimal

const jsonData = [
    {
        "id": "item-001",
        "name": "Organic Dates (Medjool)",
        "category": "Fruits",
        "price": 12.99,
        "stock": 500,
        "isAvailable": true
    },
    {
        "id": "item-002",
        "name": "Olive Oil (Extra Virgin)",
        "category": "Oils & Vinegars",
        "price": 18.50,
        "stock": 300,
        "isAvailable": true
    },
    {
        "id": "item-003",
        "name": "Za'atar Spice Blend",
        "category": "Spices",
        "price": 7.25,
        "stock": 200,
        "isAvailable": false // Out of stock
    }
];

Step 2: Format the JSON Data into a Plain Text String

This is where the transformation logic happens. You’ll iterate through your JSON data and build a multi-line string. For a simple key-value format, you might join each key and value with a colon and add a newline.

function formatJsonToPlainText(data) {
    let textOutput = '';
    data.forEach(item => {
        // Iterate through each property of the current JSON object
        for (const key in item) {
            if (Object.prototype.hasOwnProperty.call(item, key)) {
                // For nested objects or arrays, you might stringify them,
                // or flatten them based on your desired text format.
                // For simplicity, we'll stringify complex values.
                let value = item[key];
                if (typeof value === 'object' && value !== null) {
                    value = JSON.stringify(value); // Convert nested objects/arrays to string
                }
                textOutput += `${key}: ${value}\n`;
            }
        }
        textOutput += '---\n'; // Separator between items for clarity
    });
    return textOutput;
}

const plainTextData = formatJsonToPlainText(jsonData);
console.log(plainTextData);
/* Expected output (example for item-001):
id: item-001
name: Organic Dates (Medjool)
category: Fruits
price: 12.99
stock: 500
isAvailable: true
---
...
*/

Step 3: Create and Trigger the Download

Now, use the Blob and URL.createObjectURL methods to enable the user to download this plain text.

function downloadTextFile(text, filename = 'data.txt') {
    const blob = new Blob([text], { type: 'text/plain;charset=utf-8' });
    const url = URL.createObjectURL(blob);
    const a = document.createElement('a');
    a.href = url;
    a.download = filename; // Suggested filename for download
    document.body.appendChild(a); // Append to body to make it clickable
    a.click(); // Programmatically click the link
    document.body.removeChild(a); // Remove the link
    URL.revokeObjectURL(url); // Clean up the object URL to release memory
    console.log(`File "${filename}" ready for download.`);
}

// To trigger the download for our example:
// downloadTextFile(plainTextData, 'product_list.txt');

By integrating these functions into a button click event handler, you can provide a robust and user-friendly “Export to Text” feature. This demonstrates how to how to write json object to text file in javascript in a practical scenario.

Handling convert text file to json javascript

The reverse process, convert text file to json javascript, is equally important. This typically involves reading a text file (often uploaded by the user), parsing its content, and then structuring that content into a JSON object.

Reading a Text File in JavaScript

To read a local text file, you’ll generally use the FileReader API, usually in conjunction with an <input type="file"> element. Extract numbers from text regex

  1. HTML Input:
    <input type="file" id="textFileLoader" accept=".txt">
    <button onclick="loadAndConvertText()">Convert Text to JSON</button>
    
  2. JavaScript File Reading:
    function loadAndConvertText() {
        const fileInput = document.getElementById('textFileLoader');
        const file = fileInput.files[0];
    
        if (file) {
            const reader = new FileReader();
    
            reader.onload = function(e) {
                const textContent = e.target.result;
                try {
                    const jsonObject = parsePlainTextToJson(textContent);
                    console.log("Converted JSON:", jsonObject);
                    // Now you can display this JSON in a textarea or download it
                    // For example: document.getElementById('jsonOutput').value = JSON.stringify(jsonObject, null, 2);
                } catch (error) {
                    console.error("Error converting text to JSON:", error);
                    alert("Failed to convert text to JSON. Check format.");
                }
            };
    
            reader.onerror = function() {
                console.error("Error reading file:", reader.error);
                alert("Could not read the file.");
            };
    
            reader.readAsText(file); // Read the file as plain text
        } else {
            alert("Please select a text file to convert.");
        }
    }
    

Parsing Plain Text to JSON Object

This is the most critical and often the most complex part of convert text file to json javascript, as plain text can be highly unstructured. The parsing logic depends entirely on the expected format of your text file.

Scenario: Key-Value Pairs per Line
If your text file has a simple Key: Value format (like the one we generated earlier), parsing is relatively straightforward.

function parsePlainTextToJson(text) {
    const lines = text.split('\n');
    const result = {};
    let currentItem = {}; // To handle multiple JSON objects in one text file
    let itemCounter = 0;

    lines.forEach(line => {
        line = line.trim();
        if (line === '---') { // Our separator
            if (Object.keys(currentItem).length > 0) {
                result[`item${itemCounter++}`] = currentItem; // Store previous item
                currentItem = {}; // Reset for next item
            }
        } else if (line) {
            const parts = line.split(':');
            if (parts.length >= 2) {
                const key = parts[0].trim();
                let value = parts.slice(1).join(':').trim(); // Join remaining parts in case value contains colons

                // Attempt to infer data types (numbers, booleans, null)
                if (value === 'true') value = true;
                else if (value === 'false') value = false;
                else if (value === 'null') value = null;
                else if (!isNaN(Number(value)) && value !== '') value = Number(value); // Convert to number
                // Add more type inference logic if needed (e.g., for arrays or nested JSON strings)
                // For example, if a value looks like a JSON string:
                // try { value = JSON.parse(value); } catch(e) { /* ignore, it's just a string */ }

                currentItem[key] = value;
            }
        }
    });

    // Add the last item if any
    if (Object.keys(currentItem).length > 0) {
        result[`item${itemCounter++}`] = currentItem;
    }

    // If there was only one item and no separator, just return the item directly
    if (itemCounter === 1 && Object.keys(result).length === 1 && result.hasOwnProperty('item0')) {
        return result.item0;
    }

    return result; // Return a collection of items if multiple were found
}

// Example usage with a dummy text content:
const sampleText = `
id: item-001
name: Organic Dates (Medjool)
category: Fruits
price: 12.99
stock: 500
isAvailable: true
---
id: item-002
name: Olive Oil (Extra Virgin)
category: Oils & Vinegars
price: 18.50
stock: 300
isAvailable: true
`;

// const convertedJson = parsePlainTextToJson(sampleText);
// console.log(JSON.stringify(convertedJson, null, 2));

This parsing function demonstrates how you might convert text file to json javascript for a structured text format. The key is to define clear delimiters (like : for key-value, and --- for separating distinct JSON objects) and then write logic to parse those delimiters.

Advanced Considerations and Best Practices

While the core functionality of json to text file javascript is straightforward, real-world applications often demand more robust solutions.

Error Handling and Validation

Robust error handling is paramount. When converting text to JSON, invalid input can lead to parsing errors. Always wrap JSON.parse() and your custom parsing logic in try-catch blocks. Extract string from regex

  • JSON to Text: If JSON.parse() fails on the input JSON string, inform the user about the Invalid JSON format error.
  • Text to JSON: If your custom text parsing logic encounters unexpected formats, provide clear feedback to the user. Perhaps the text file needs to adhere to a specific json text format example.

Handling Large Files

For very large JSON objects or text files (e.g., hundreds of megabytes or gigabytes), processing them entirely in memory in the browser can lead to performance issues or even crashes.

  • Web Workers: Consider using Web Workers for heavy parsing or stringification operations. This offloads the computation to a background thread, keeping the main UI thread responsive.
  • Streaming APIs (Advanced): For extremely large files, server-side processing or more advanced client-side streaming (like ReadableStream if available and applicable) might be necessary to process data in chunks rather than loading it all at once. For most typical browser-based conversions, however, Blob and FileReader suffice.

File Encoding

When creating Blob objects, it’s good practice to specify the character encoding, typically UTF-8, to ensure proper display of special characters.

  • new Blob([text], { type: 'text/plain;charset=utf-8' });

User Experience (UX)

  • Status Messages: Provide clear status messages (e.g., “Converting…”, “Download ready!”, “Error: Invalid format.”).
  • Progress Indicators: For larger files, a progress bar or spinner can indicate that an operation is ongoing.
  • Input Validation: Before attempting conversion, validate that the input fields aren’t empty or that a file has been selected.
  • Clear Instructions: Ensure users understand the expected json text format example or json file example if they are uploading files.

Security and Client-Side Processing

One significant advantage of performing json to text file javascript client-side is enhanced security. Since no data leaves the user’s browser, there’s no risk of sensitive information being intercepted or stored on a server. This makes client-side tools ideal for data transformation, especially for users concerned about privacy. For instance, converting a sensitive json text example containing personal records directly in the browser ensures the data remains entirely under the user’s control.

  • No Server-Side Storage: No database or server logs are created containing the user’s data.
  • Offline Capability: Many client-side tools can function offline once the page is loaded, provided they don’t need external resources or APIs.
  • Reduced Server Load: Offloading data processing to the client reduces the computational burden on your servers, leading to lower hosting costs and better scalability for your backend.

However, client-side execution also means that users have full access to the underlying JavaScript code. While this is rarely a concern for data conversion tools, it’s something to keep in mind for applications where code integrity is paramount.

Alternatives and Related Concepts

While JavaScript offers robust native solutions for json to text file javascript, it’s worth noting related concepts and alternative approaches. Binary not calculator

Server-Side Conversion

For extremely large files, complex transformations, or scenarios requiring database integration, server-side conversion (e.g., using Node.js, Python, PHP) is often more appropriate. This allows access to greater computational resources and dedicated file system operations. However, it introduces data transfer and storage considerations.

Libraries for Complex Transformations

For highly intricate JSON transformations or text parsing (e.g., converting JSON to CSV, XML, or a highly structured plain text format), you might consider using dedicated JavaScript libraries.

  • Papa Parse: Excellent for CSV parsing and unparsing. While not directly JSON to text, it could be used for JSON to CSV, which is a text-based format.
  • lodash/underscore: Provide utility functions that simplify data manipulation, which can be helpful before stringifying JSON to a custom text format.
  • JSONPath/JmesPath: For extracting specific data points from complex JSON structures before text serialization.

TextEncoder and TextDecoder

For more control over text encoding beyond charset=utf-8, the TextEncoder and TextDecoder APIs can be used. They allow you to encode strings into byte streams and decode byte streams back into strings, supporting various encodings like UTF-16, Shift_JIS, etc. For most json to text file javascript needs, simply specifying charset=utf-8 in the Blob constructor is sufficient.

Browser Compatibility

The APIs used (Blob, URL.createObjectURL, FileReader) are widely supported across modern browsers (Chrome, Firefox, Edge, Safari) with very few exceptions. However, always check Can I use… for specific version support if targeting older browser versions or niche environments. Generally, you won’t face significant compatibility issues with these core functionalities.

In conclusion, the process of json to text file javascript is a powerful client-side capability that enhances user experience and privacy. By leveraging JSON.stringify() and browser-native file APIs, developers can build efficient, robust tools for data conversion directly within the web application. Bin iphone 13

FAQ

What is JSON and why is it used?

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It’s used for transmitting data between a server and web application, for configuration files, and as a storage format. Its popularity stems from its human-readability, ease of parsing and generation, and its native compatibility with JavaScript.

How do I convert a JSON object to a plain text string in JavaScript?

To convert a JSON object to a plain text string, you typically use JSON.stringify(). If you want a specific custom text format (e.g., “Key: Value” lines), you’ll need to iterate through the JSON object’s properties and manually build the string.

What is JSON.stringify() used for?

JSON.stringify() is a built-in JavaScript method used to convert a JavaScript value (like an object or array) into a JSON string. It’s essential for sending data to a web server, saving data to a file, or when data needs to be consumed by systems that expect a JSON string format.

Can I make the JSON output of JSON.stringify() readable?

Yes, you can. JSON.stringify() accepts a third argument, space, which specifies the number of white space characters to use as indentation. For example, JSON.stringify(myObject, null, 2) will output a beautifully formatted JSON string with 2-space indentation, making it much more readable.

How do I create a downloadable text file from a string in JavaScript?

To create a downloadable text file from a string, you first create a Blob object from your string with the MIME type text/plain. Then, use URL.createObjectURL() to get a URL for this blob. Finally, create a temporary <a> element, set its href to the blob URL, set its download attribute to your desired filename, programmatically click it, and then revoke the object URL. Binary notation definition

What is a Blob in JavaScript?

A Blob (Binary Large Object) is a file-like object of immutable, raw data. It represents data that isn’t necessarily in a JavaScript-native format. In web development, Blobs are commonly used for handling binary data, creating files on the client-side, or managing large chunks of data efficiently.

Why do I need to revoke an object URL after downloading a file?

You need to revoke an object URL using URL.revokeObjectURL() to release the memory that the browser allocated for the URL. If you don’t revoke it, the browser might hold onto that memory unnecessarily, leading to potential memory leaks, especially in single-page applications where many such URLs might be created.

How do I convert a text file to JSON in JavaScript?

To convert a text file to JSON, you typically use the FileReader API to read the content of the text file. Once you have the text content as a string, you need to parse it according to its specific format. If the text file contains a valid JSON string, you can use JSON.parse(). If it’s a custom key-value text format, you’ll write custom JavaScript logic to split lines, extract keys and values, and build a JavaScript object, which can then be stringified to JSON.

What is FileReader and how is it used?

FileReader is a JavaScript API that allows web applications to asynchronously read the contents of files (or raw data buffers) stored on the user’s computer. It’s commonly used with an <input type="file"> element. You create a FileReader instance, attach onload and onerror event handlers, and then call methods like readAsText() to start reading the file.

What are common challenges when converting text to JSON?

The main challenge when converting text to JSON is the variability of text file formats. Unlike JSON, plain text doesn’t have a universal structure. You must precisely define how your text file is structured (e.g., Key: Value per line, CSV, or a custom delimiter) and then write custom parsing logic to match that structure. Error handling for malformed text is crucial. Ip dect handset

Can I convert large JSON files to text in the browser?

For very large JSON files (hundreds of MBs), converting them entirely in the browser’s main thread might cause performance issues or browser crashes due to memory limitations. For such cases, consider using Web Workers to offload the processing to a background thread, or for truly massive files, server-side processing might be more suitable.

Is client-side JSON to text conversion secure?

Yes, client-side JSON to text conversion is generally very secure because all operations occur within the user’s browser. No data is sent to a server, eliminating the risk of data interception or unauthorized storage on remote systems. This is a significant advantage for privacy-sensitive data.

Can I specify the encoding for the text file I download?

Yes, when creating a Blob object, you can specify the character encoding in the MIME type. For example, new Blob([text], { type: 'text/plain;charset=utf-8' }); ensures the text file is saved with UTF-8 encoding, which is highly recommended for broad compatibility with various characters.

How do I handle nested JSON objects when converting to plain text?

When converting nested JSON objects to plain text, you have a few options:

  1. Stringify Nested Objects: Simply convert the nested object into a JSON string itself within the plain text line (e.g., details: {"city":"Riyadh", "zip":"12345"}).
  2. Flatten: Extract properties from the nested object and include them as top-level properties with unique keys (e.g., address_city: Riyadh, address_zip: 12345).
  3. Custom Format: Design a specific multiline format for nested structures that your text parser can later understand.

What is the download attribute of an <a> tag?

The download attribute, when set on an <a> (anchor) HTML element, specifies that the linked resource should be downloaded rather than navigated to. If a value is provided, it will be used as the default filename for the downloaded file. This attribute is essential for triggering file downloads programmatically in the browser. Words to numbers in excel

Can I convert JSON to other text-based formats like CSV or XML in JavaScript?

Yes, you can. For CSV, you would iterate through your JSON data, format each object as a row of comma-separated values, and join rows with newlines. For XML, you would build an XML string by concatenating tags and attributes based on your JSON structure. While JSON.stringify() is specific to JSON, general string manipulation and concatenation can handle these conversions. Libraries like Papa Parse can simplify JSON to CSV conversion.

What are the benefits of client-side data conversion?

The benefits of client-side data conversion include:

  • Enhanced Privacy: Data never leaves the user’s device.
  • Faster Performance: No network latency for server round-trips.
  • Offline Capability: Tools can function without an internet connection after initial load.
  • Reduced Server Load: Less demand on server resources.
  • Instant Feedback: Users get immediate results from their actions.

How do I validate if a string is valid JSON before parsing?

The most reliable way to validate if a string is valid JSON is to attempt to parse it using JSON.parse() within a try-catch block. If JSON.parse() throws an error, the string is not valid JSON.

try {
    const obj = JSON.parse(jsonString);
    console.log("Valid JSON:", obj);
} catch (e) {
    console.error("Invalid JSON:", e.message);
}

Can I upload a text file and convert it to JSON directly in an HTML web page?

Yes, absolutely. You would use an <input type="file" accept=".txt"> element to allow users to select a text file. Then, use the FileReader API (specifically reader.readAsText(file)) to read the file’s content. Once the content is loaded, apply your custom parsing logic or JSON.parse() (if the text is already JSON) to convert it into a JavaScript object.

What are some common text formats that can be converted to JSON?

Common text formats that can be converted to JSON include: Uml class diagram tool online free

  • CSV (Comma Separated Values): Each line is a record, fields separated by commas.
  • TSV (Tab Separated Values): Similar to CSV, but fields are separated by tabs.
  • Key-Value Pairs: Each line Key: Value or Key=Value.
  • INI Files: Used for configuration, often [Section] and key=value.
  • YAML (YAML Ain’t Markup Language): A human-friendly data serialization standard often considered a superset of JSON.
    For each, you’d need specific parsing logic to transform them into a JSON structure.

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