Free APIs to Build Real Portfolio Projects With

Free APIs to Build Real Portfolio Projects With

Free APIs for projects split into two groups: ones that need no signup or key (JSONPlaceholder, REST Countries, PokeAPI), and ones that need a free API key (OpenWeatherMap, NewsAPI, TMDB). Start with the first group to learn the mechanics, then move to the second for real, live data.

Updated for 2026. Links and free-tier details change — verify before relying on any resource for a deadline.

A portfolio project that consumes a real API demonstrates more than a static site — it shows you can fetch, parse, handle errors, and manage rate limits or credentials. The list below is grouped by whether an API key is required, since that's the practical first decision when picking one.

Why This Matters More Than It Looks

Hiring managers reviewing a portfolio project can usually tell within seconds whether the data on screen is hardcoded or genuinely fetched from a live source. A project that calls a real API, even a simple one, demonstrates a small cluster of skills that a purely static site cannot: making an asynchronous request, handling a response that might arrive slowly or not at all, parsing JSON into the shape your UI actually needs, and deciding what the user sees while data is loading or if it fails to load. None of these skills are exotic, but skipping them is exactly what separates a tutorial clone from something that reads as real engineering.

This is also why the specific API matters less than how completely you handle what it gives you. A project built on a "boring" API like REST Countries, with genuinely good loading states, error handling, and a thoughtful search-and-filter UI, reads as more competent than a flashy API integration with no error handling at all.

No API Key Required

JSONPlaceholder — a free fake REST API returning realistic placeholder data (posts, comments, users, todos) built specifically for practicing CRUD requests. Best for: learning fetch/axios basics and building a first list-detail-form project with no backend of your own. Rate limits: none published; it's a practice sandbox, not a production data source.

Because JSONPlaceholder's "writes" (POST, PUT, DELETE requests) don't actually persist anywhere — the server accepts the request and returns a realistic-looking response, but the underlying fake data doesn't change on the next request — it's specifically useful for practicing the request/response cycle without needing your own backend to hold state. This makes it an ideal first stop, but also means it's not suitable for anything beyond that specific learning purpose; move to a real API once you want a project where data changes actually persist.

REST Countries — a free API returning structured data about every country (population, capital, currencies, flags, languages). Best for: a searchable country directory or a data-visualization dashboard project. Rate limits: generally unrestricted for reasonable use; no key required.

Because the entire dataset is small enough to reasonably fetch in one request and then filter client-side, REST Countries is also a good exercise in a different pattern than the others here: fetch once, cache in memory, and do all searching/filtering/sorting locally rather than hitting the API again per keystroke — a pattern worth recognizing as distinct from APIs where every search genuinely needs a fresh network request.

PokeAPI — a free, extensive API covering Pokemon data (stats, types, moves, sprites), popular for a first search-and-display project because the data is fun and richly structured. Best for: practicing nested data handling and building a searchable card-grid UI. Rate limits: fair-use limits apply; heavy scraping is discouraged, but normal project traffic is fine.

PokeAPI's data is deeply nested and cross-referenced — a single Pokemon's data links out to separate endpoints for its species, moves, and evolution chain — which makes it a genuinely useful exercise in handling multiple related API calls and combining their results, a pattern that shows up constantly in real production API design.

Free API Key Required

OpenWeatherMap — a live weather data API covering current conditions and forecasts by city or coordinates. Best for: a weather dashboard or any project demonstrating live, real-world data. Rate limits: free tier allows a limited number of calls per minute with a daily cap — check the current plan page before building a high-frequency polling feature.

Weather data specifically is a good first "real" API because the response shape is moderately complex (nested current conditions, hourly forecast arrays, unit conversions between metric and imperial) without being overwhelming, and because the visible output — a live temperature that actually matches reality outside your window — gives immediate, satisfying confirmation that the integration works correctly.

NewsAPI — an API aggregating headlines and articles from many news sources, searchable by keyword, source or category. Best for: a news aggregator or search project. Rate limits: the free developer tier is more restrictive and has historically been limited to local development and testing rather than a live public deployment — read the current terms before shipping this one publicly.

TMDB (The Movie Database) — a free API with extensive movie and TV metadata, posters, cast lists and ratings. Best for: a movie search or watchlist project, a genuinely popular and well-documented portfolio category. Rate limits: generous for personal use; requires attribution per TMDB's terms.

Spoonacular and NASA Open APIs (both covered in more detail below) also require a free key and are worth considering once the more common weather/movie/news categories feel over-tutorialed — a recipe finder or a space-data visualization stands out precisely because fewer other portfolios use them.

More Free APIs Worth Knowing

Beyond the six covered above in detail, several other free APIs come up often enough in portfolio projects and technical interviews that they're worth naming explicitly.

Open-Meteo — a free weather API that, notably, requires no API key at all for non-commercial use, making it a genuinely key-free alternative to OpenWeatherMap for a first weather project. Best for: a weather dashboard when you want to skip key management entirely. Rate limits: generous for personal and non-commercial use, documented on its site.

GitHub REST API — the API behind GitHub itself, exposing public repository data, user profiles, issues, and commit history. Best for: a project that visualizes your own or a public repository's activity, like a contribution graph or a repo-stats dashboard. Rate limits: unauthenticated requests are limited per hour; authenticating with a free personal access token raises the limit substantially.

Spoonacular — a food and recipe API offering recipe search, ingredient data, and nutrition information, with a free tier requiring a key. Best for: a recipe finder or meal-planning portfolio project. Rate limits: a modest number of free daily requests before a paid plan is needed.

Exchange Rate API / Frankfurter — free currency-conversion APIs; Frankfurter in particular requires no key and is built specifically as a free, open alternative for exchange-rate data. Best for: a currency converter or a finance-adjacent portfolio project. Rate limits: Frankfurter has no published hard cap for reasonable personal use; Exchange Rate API's free tier has a monthly request cap.

NASA Open APIs — a collection of free APIs from NASA covering the Astronomy Picture of the Day, Mars rover photos, and near-Earth object data, requiring a free API key (a shared demo key also exists for light testing). Best for: a visually striking portfolio project with genuinely interesting, real data. Rate limits: the free tier and demo key both cap requests per hour; register your own key for anything beyond quick testing.

Public APIs list (public-apis/public-apis on GitHub) — not a single API but a massive, community-maintained directory of free APIs across every category imaginable, worth bookmarking once you've outgrown this article's shortlist. Best for: finding a niche API for a specific project idea not covered here.

Reading Rate Limits and Terms of Service Correctly

Every free API's documentation page states its rate limit somewhere, but the exact wording matters more than it first appears. A limit stated as "requests per minute" behaves very differently under load than one stated as "requests per day" — a per-minute limit is usually more forgiving for a low-traffic personal project since it resets constantly, while a per-day limit can be exhausted early in the day by an inefficient polling loop and then stay exhausted until midnight UTC or whatever reset time the provider uses.

Separately, always check for a distinct "commercial use" or "production deployment" clause, which is different from the rate limit itself. Some free tiers cap request volume but otherwise permit any use; others explicitly restrict the free tier to development, testing, or non-commercial personal use, meaning a live, publicly linked deployment technically violates the terms even if you never come close to the rate limit numerically. This distinction is exactly what trips people up with NewsAPI's free tier, and it's worth a five-minute read on any new API before you build a project around it, not after.

When in doubt, look for three things on a provider's terms page: whether a key is required, what the numeric rate limit is, and whether public/commercial deployment is explicitly permitted or restricted on the free tier. Those three answers cover the overwhelming majority of what actually matters for a portfolio project.

How to Actually Use This List

If you've never called a real API from code before, start with JSONPlaceholder — no signup, no key, and it exists purely so you can practice GET, POST, PUT and DELETE requests without worrying about breaking anything real. Once that feels comfortable, move to REST Countries or PokeAPI to practice handling larger, more nested JSON responses and building a real search-and-filter UI.

Once you're ready to manage a real API key, OpenWeatherMap or TMDB are the most beginner-friendly key-required options, both with active communities and abundant tutorials if you get stuck. Store the key in an environment variable from the very first commit — building that habit early avoids a much more painful fix later.

For a project that specifically wants to avoid key management entirely while still using live, real data, Open-Meteo, REST Countries and Frankfurter together cover weather, geography, and currency without a single signup — a genuinely useful shortlist for a timed hackathon or a quick demo where setup speed matters more than picking the most feature-rich API available.

Testing an API Before You Write Any UI Code

Before wiring an API into a React component or any front-end framework, test it directly first with a dedicated API client like Postman or Insomnia, or with a simple curl command in a terminal. This isolates two separate problems — "does my request to the API work" and "does my UI correctly display what comes back" — instead of debugging both simultaneously when something goes wrong, which is a much slower way to find the actual source of a bug.

Testing the raw response also surfaces details a written API doc sometimes glosses over: fields that are null under certain conditions, inconsistent casing between endpoints, or pagination behavior that only becomes obvious once you actually request a large result set. Catching these in a standalone API client, before any UI code depends on an assumed shape, saves a meaningful amount of rework later.

A Simple Project Pipeline

A workable approach for turning any of these APIs into an actual portfolio piece, rather than a copy-pasted tutorial clone, follows four steps. First, pick an API whose subject matter connects to something you can explain in an interview — a hobby, a past job, a specific interest — rather than the most-tutorialed option. Second, read the API's documentation for its actual response shape before writing any UI code, since designing the interface around assumed data that doesn't match reality is a common source of wasted rework. Third, build one core feature completely (search, display, and error handling for a single use case) before adding a second feature, rather than half-building several features at once. Fourth, add your own small addition the API doesn't provide — a favorites list saved to local storage, a comparison view, a chart — since this is usually the detail that makes a project look like more than a wrapper around someone else's data.

Be ready to explain, in an interview setting, exactly why you chose the API you did, what its response shape looks like, and how you handled a slow or failed request — these follow-up questions come up more often than "why did you pick this project" itself, and a confident answer signals real engagement with the code rather than a copied tutorial.

Comparison Table

The Five Mistakes

1. Hardcoding an API key in a public GitHub repository. Keys pushed to public repos get scraped within minutes; use environment variables and a .gitignore entry from the first commit.

2. Not checking deployment restrictions before shipping. Some free tiers (notably NewsAPI's) restrict free-tier keys to local development rather than a live public deployment — read the terms before your project goes live, not after it breaks.

3. Polling an API far more often than the project needs. Hitting a free-tier rate limit during a demo or job interview review is an easily avoidable embarrassment — cache responses client-side where reasonable, and add basic retry/backoff handling rather than hammering the endpoint on failure.

4. Choosing an API purely because it's popular with no clear project idea. A movie or weather API is a fine learning exercise, but a portfolio piece stands out more when the choice of API connects to a specific, explainable idea rather than a generic tutorial clone.

5. Skipping error-state handling entirely. A demo that only works when the API responds instantly and successfully falls apart the moment a reviewer's network hiccups or a rate limit is hit mid-demo — building a visible loading state and a graceful error message is a small addition that meaningfully changes how finished a project looks.

🔗 Read next: Free datasets for practice projects and portfolios, or go back to the pillar — the complete free developer resources collection.