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1. dummyjson.comDummyJSON - Fake REST API of JSON data for development

   dummyjson.com

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   DummyJSON provides a fake REST API of JSON data for development, testing, and prototyping. Quickly get realistic data for your front-end projects.

2. jsonplaceholder.typicode.comJSONPlaceholder - Free Fake REST API

   jsonplaceholder.typicode.com

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   JSONPlaceholder is a free online REST API that you can use whenever you need some fake data. It can be in a README on GitHub, for a demo on CodeSandbox, in code examples on Stack Overflow, ...or simply to test things locally.

3. fakery.devFakery - Generate Fake Mock Data for Testing

   fakery.dev

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   Fakery is a free online tool for generating fake data for testing your applications. It supports a wide variety of data types and formats, including JSON, CSV, SQL, and more.

4. dummyjson.com › docs › productsProducts - DummyJSON - Fake REST API of JSON data for development

   dummyjson.com › docs › products

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   REST Endpoints filled with Products JSON data, DummyJSON provides a fake REST API of JSON data for development, testing, and prototyping. Quickly get realistic data for your front-end projects.

5. www.coderstool.com › json-test-data-generatorRandom JSON Data Generator | CodersTool

   www.coderstool.com › json-test-data-generator

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   Generate dummy JSON data from the template - random names, emails, addresses, phone numbers, and many more data types. Create formatted sample/test data for testing software or populating databases. The utility combines JSON Schema standard with fake data generators, allowing users to generate simulated data that conform to the structure. The ...

6. microsoftedge.github.io › Demos › json-dummy-dataJSON dummy data | Demos

   microsoftedge.github.io › Demos › json-dummy-data

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   This is a collection of dummy JSON files in various sizes to use as test data for the JSON viewer.

7. www.jsongenerator.ioJSONGenerator - Create Random JSON Data

   www.jsongenerator.io

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   JSON Generator is packed with features to make data generation easy and efficient: Template Driven: Define your data structure once and reuse it for multiple projects, ensuring consistency. Random Data Generation: Create realistic, random data for comprehensive testing and development.