DummyJSON

What DummyJSON is

DummyJSON is a free REST API for frontend work that needs sample JSON data without setting up a backend. It lists resources for products, carts, users, posts, comments, quotes, todos, recipes, images, and authentication. Requests can use limit, skip, and select parameters; setting limit to zero returns all items. A delay parameter can mimic responses taking from 0 to 5000 milliseconds. Developers can also host a mock endpoint using their own JSON response body and choose GET, POST, PUT, PATCH, or DELETE. These endpoints last 90 days and accept bodies up to 300 KB. The webhook inspector captures incoming requests for debugging, supports all HTTP methods, and keeps endpoints live for 24 hours. It stores up to 100 requests, accepts payloads up to 300 KB, and removes authorization, cookie, and x-api-key headers before storage. Other tools include a TOTP code generator and authentication examples. Product additions and updates return simulated results without changing stored server data.

Who it suits

DummyJSON suits frontend developers who need JSON data for projects, demonstrations, or testing without creating a backend. Its custom endpoints and webhook inspector also suit developers checking request and response behavior.

Limits

Custom response endpoints last 90 days and accept JSON bodies up to 300 KB. Webhook endpoints stay live for 24 hours and store up to 100 requests, with payloads up to 300 KB each. Product additions and updates are simulated and do not change stored server data.

Getting started

1. Open https://dummyjson.com/.
2. Choose a listed resource and request its JSON data.
3. Use limit, skip, or select parameters to shape a request.
4. Add a delay parameter to simulate a response delay.
5. Create a custom endpoint with a JSON body and choose an HTTP method if needed.
6. Use the webhook inspector to capture incoming requests if needed.

Verdict

DummyJSON provides sample resources, mock endpoints, and request-inspection tools for frontend development. Its temporary endpoints and simulated data behavior are important limits to account for when building a project.