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Movie Search

Part of the Frontend Developer Roadmap

In short

A movie search app tests the skills behind every search bar you've used: waiting for the user to stop typing, handling empty results and loading images without slowing the page.

An extended movie app with watchlists, ratings, and recommendations — moving beyond simple search into a more complete product experience.

The jaadu waits patiently at a video rental counter while a customer thinks.

Think of it like this

The old video rental uncle

You start saying 'that movie with Shah Rukh and...' and he waits until you finish before searching his shelf. If he ran to the shelf after every word, he'd be exhausted. That patience is debouncing.

Watch it happen

Typing 'dune' with a debounce

Search box
400ms timer
Movie API

'd'

1/6You type 'd'. A 400ms timer starts.

The big ideas

What you need to know

Debounced search

Search only after the user pauses typing. Proves you care about API limits and performance.

Details page with routing

Click a movie to open /movie/[id]. Shows you know dynamic routes.

Watchlist

Save favourites to localStorage or a backend. Adds state that lives beyond one page.

Images done right

Lazy-loaded posters with fixed sizes and a fallback for missing ones.

How it works

Build plan

  1. 1

    Get an API key

    Use a movie API like TMDB or OMDb and read its search docs.

  2. 2

    Search page

    Debounced input and a results grid.

  3. 3

    Details page

    Dynamic route with plot, cast and rating.

  4. 4

    Watchlist

    Add and remove favourites, persisted.

  5. 5

    Polish

    Pagination or infinite scroll, empty states, deploy.

See it in code

Walk through the code

js
1function useDebounce(value, delay = 400) {2  const [debounced, setDebounced] = useState(value);3 4  useEffect(() => {5    const id = setTimeout(() => setDebounced(value), delay);6    return () => clearTimeout(id); // reset if value changes again7  }, [value, delay]);8 9  return debounced;10}11 12// Usage13const query = useDebounce(input);14useEffect(() => { if (query) searchMovies(query); }, [query]);

1/4The debounced copy only changes when the timer fires.

Each keystroke clears the previous timer. Only when the user stops for 400ms does the debounced value update and trigger a search.

Save yourself the pain

Common mistakes

Oops

Calling the API on every keystroke.

Do this instead

Debounce the input. Typing 'inception' would otherwise send 9 requests.

Oops

Posters with no width and height, so the grid jumps as they load.

Do this instead

Give images fixed dimensions or an aspect-ratio box to avoid layout shift.

Your mission

Milestone 1: search that feels smooth

~40 min

Quick check

With a 400ms debounce, the user types 'dune' quickly and stops. How many searches fire?

Go deeper

  1. 1Add a persistent 'watchlist' feature backed by localStorage or a backend.
  2. 2Implement basic recommendations, e.g. 'more like this' by genre.
  3. 3Polish search with debouncing, pagination, and clear empty/error states.

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