Request: json() method - Web APIs | MDN (2024)

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Request: json() method - Web APIs | MDN? ›

Request: json() method

Response: json() method

It returns a promise which resolves with the result of parsing the body text as JSON . Note that despite the method being named json() , the result is not JSON but is instead the result of taking JSON as input and parsing it to produce a JavaScript object.

json() is widely used to fetch data from APIs. In this article, we will explore how to use response. json() to load JSON data into Python objects.

REST and JSON

The REST architecture of APIs allows the clients to transfer the files in many formats. Similarly, the lightweight JSON format also gained popularity because of its suitability for speedy data transfer. So the RESTful JSON is a compact data format.

The property of JSON() method is:

stringify() on a Range or Complex object, for example, it returns a string like {“from”:1, “to”:3} or {“r”:1, “i”:-1}.

To fetch post JSON data using API, you need to follow these steps: fetch('https://example.com/api/data', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON. stringify({ key1: 'value1', key2: 'value2' }) }) . then(response => response.

JSON (JavaScript Object Notation) is our most commonly used format. JSON is a text-based open standard derived from the format used to represent simple data structures in JavaScript. Although it is rooted in JavaScript, it is language-agnostic and parsers exist for all popular (and many unpopular) languages.

To ensure that a Web API always returns data in JSON format, you can apply the following steps: Configure JSON as the default content type: In the ConfigureServices method of your Startup class, add the following code to configure JSON as the default content type for your Web API: services. AddControllers().

How to send JSON data using URL? ›

Approach for POST Request:

We need to specify the URL, where the JSON data need to be sent. Using curl_init(), we initialize cURL. Put JSON data in a PHP array and set up JSON data. And using json_encode() encode it into JSON string.

JSON format

To use it, make a HTTPS POST request with “Content-Type” header “application/json” and the “X-Authentication” header set to a pre-configured value (Mobile API Secret). Requests have the following format: { “request”: request_name, “node”: node_name, “params”: {..} }

To pass a JSON query as an argument in the requests. get() method in Python, you need to use the json parameter instead of the params parameter. The params parameter is used to pass query parameters in the URL, while the json parameter is used to send JSON data in the request body.

Reading JSON

To read JSON data, you can use the built-in json module (JSON Encoder and Decoder) in Python. The json module provides two methods, loads and load, that allow you to parse JSON strings and JSON files, respectively, to convert JSON into Python objects such as lists and dictionaries.

The JSON file format can easily handle unstructured, complex data, which is not possible with CSV format. In addition to that, hierarchical data can be easily represented using JSON, unlike the CSV format. Hence, JSON is more versatile than the CSV format.

One of the most common uses for JSON is when using an API, both in requests and responses. It is much more compact than other standards and allows for easy consumption in web browsers as JavaScript can easily parse JSON strings, only requiring JSON.

JavaScript Object Notation, more commonly known by the acronym JSON, is an open data interchange format that is both human and machine-readable. Despite the name JavaScript Object Notation, JSON is independent of any programming language and is a common API output in a wide variety of applications.