For students & new developers

A project you
can explain.

Build an HTTP status-code explorer. Search real records, filter the results, and show helpful messages when a search finds nothing or a request fails.

Start with the free sample. Expand the dataset when you need more.

Working exampleTry a search

Status-code explorer

4 example records

  • 501
    Not ImplementedServer Error
  • 502
    Bad GatewayServer Error
  • 503
    Service UnavailableServer Error
  • 504
    Gateway TimeoutServer Error

Selected records from the free sample, the ten most recently added codes. This search runs locally on the page.

Your project brief

Small enough to finish.
Enough to learn from.

The HTTP Status Codes dataset includes Code, Name, Category, and Description. Use these fields to choose what your app displays and what visitors can search.

  1. Load and display the records.

    Download the JSON sample into your project, or fetch it from the public API. Display the code, name, and category. Use a local file during development to avoid repeated API requests.

  2. Add search and filtering.

    Match code or name without requiring exact capitalization. Add a category selector based on the values present in the data, and sort codes numerically rather than as text. Check which categories your file has: the free sample has Server Error.

  3. Handle no results and failed requests.

    Show a helpful message when no records match. If you fetch remotely, handle loading and HTTP errors. Keep search keyboard-accessible and announce result counts without moving focus.

What to demonstrate in your write-up

Explain how you separated loading, filtering, and rendering. Include tests for an exact code, a partial name, mixed case, an empty query, and a query with no results. Note that filtering a sample cannot find records outside it.

For a static coursework demo, a downloaded file avoids putting a paid key in browser code. For a live application, make authenticated requests from your server.

When you need the whole list

Get the complete
datasets.

Start with the sample. Use the Data Pass when you want every status code in the dataset, or a different subject from the catalog.

The Data Pass includes complete files in CSV, JSON, and XML, API access, and category ZIPs across the whole catalog.

Data Pass

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Use it in your own projects, coursework, research, or products you sell; commercial use is allowed, free or paid. Check the dataset’s scope and sources before buying; the Data Pass is non-refundable under our terms.