Stop 04 · JavaScriptProjects · 5/8

Movie Search

Part of the Frontend Developer Roadmap

In short

Search as you type, posters in a grid, a details view. A movie search app ties debouncing, fetch and dynamic rendering together, the same skills behind every product search bar.

A movie search app hitting a public movie API — practice for debounced search-as-you-type, pagination and rendering a results grid. It combines search UX with asynchronous data fetching, pagination, empty states, result rendering, and performance techniques such as debouncing.

The jaadu mascot waits at a video library counter while the owner pulls discs from shelves.

Think of it like this

The video library uncle

You tell the video library uncle, "that Shah Rukh film with the train..." and he starts pulling CDs. A good uncle lets you finish your sentence before searching the shelves. Your app should wait for the user to stop typing too. That's debouncing.

Watch it happen

Searching while the user types

Search box
searchMovies
OMDb API

"bat" (after 400 ms)

1/7The user pauses, so the debounced handler calls searchMovies("bat").

The big ideas

What you need to know

Debounce the input

Search only after the user pauses for a few hundred milliseconds, not on every keystroke.

Cancel stale requests

AbortController cancels the old request, so a slow earlier search can't overwrite newer results.

Grid of cards

Render each movie as a card with poster, title and year. Use a placeholder when there's no poster.

Empty and error states

"Type at least 3 letters", "No movies found" and "Something went wrong" each deserve their own message.

How it works

Build plan

  1. 1

    Get an API key

    Sign up for a free key from OMDb or TMDB.

  2. 2

    Input and grid

    A search box and an empty grid container.

  3. 3

    Debounced search

    Wire the input to a debounced function that calls the API.

  4. 4

    Render cards

    Turn results into poster cards with title and year.

  5. 5

    Details and states

    Click a card for details, and handle empty, loading and error states.

See it in code

Walk through the code

js
1let controller;2 3async function searchMovies(query) {4  controller?.abort();                 // cancel the previous request5  controller = new AbortController();6  const url = `https://www.omdbapi.com/?apikey=YOUR_KEY&s=${encodeURIComponent(query)}`;7  try {8    const res = await fetch(url, { signal: controller.signal });9    const data = await res.json();10    return data.Response === "True" ? data.Search : [];11  } catch (err) {12    if (err.name === "AbortError") return null;  // a newer search replaced this one13    throw err;14  }15}

1/4One shared controller. Each new search cancels the previous one.

Call searchMovies from a debounced input handler and only render when the result isn't null. OMDb answers Response: "False" when nothing matches.

Save yourself the pain

Common mistakes

Oops

Calling the API on every keystroke.

Do this instead

You'll hit rate limits fast. Debounce the input and skip queries shorter than 3 characters.

Oops

Letting an old, slow response replace the results for a newer search.

Do this instead

Abort the previous request with AbortController, or ignore responses that don't match the latest query.

Oops

Showing a broken image when the poster is "N/A".

Do this instead

Check for it and use a placeholder image instead.

Your mission

Milestone 1: search and show titles

~45 min

Quick check

Why use AbortController in a search-as-you-type app?

Go deeper

  1. 1Debounce the search input and show a loading skeleton while fetching. Validate your understanding by applying it in a small practical example.
  2. 2Add pagination or infinite scroll for large result sets. Test the result on both a successful path and an invalid or unexpected input.
  3. 3Handle the 'no results found' empty state explicitly.

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