Learn how to integrate Bolt.new AI with the Getty Images API in 2025 using a clear step-by-step guide that boosts creative workflow efficiency.

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A Bolt.new workspace integrates with the Getty Images API the same way any normal full‑stack project does: by calling Getty’s REST API from your server code using an API key stored in environment variables. Bolt itself does not “plug into” Getty — you build the integration in code. The workflow is: get Getty credentials, put them in Bolt environment variables, write server endpoints that call Getty’s API with proper authentication headers, and then expose those results to your UI.
You integrate Bolt.new with the Getty Images API by writing ordinary server code (Node.js inside Bolt’s server folder) that sends authenticated HTTPS requests to Getty’s REST API. Getty requires a Bearer token obtained with your API key + secret. Once you have that token, your backend can search for images, retrieve metadata, or generate URLs. In Bolt.new this means placing your Getty API credentials in environment variables, fetching an OAuth token from Getty, caching it, and using it in subsequent requests.
This is the standard, correct, real-world way to integrate Getty Images inside a Bolt.new app.
// server/getty.js
// This is a simple, real Node.js module for Bolt.new server-side code
import fetch from "node-fetch";
const GETTY_TOKEN_URL = "https://api.gettyimages.com/oauth2/token";
const GETTY_SEARCH_URL = "https://api.gettyimages.com/v3/search/images";
let cachedToken = null;
let tokenExpiresAt = 0;
async function getGettyToken() {
const now = Date.now();
// Reuse token if it's still valid
if (cachedToken && now < tokenExpiresAt) {
return cachedToken;
}
// Request a new token
const res = await fetch(GETTY_TOKEN_URL, {
method: "POST",
headers: { "Content-Type": "application/x-www-form-urlencoded" },
body: new URLSearchParams({
grant_type: "client_credentials",
client_id: process.env.GETTY_API_KEY, // from Bolt environment
client_secret: process.env.GETTY_API_SECRET // from Bolt environment
})
});
const data = await res.json();
cachedToken = data.access_token;
tokenExpiresAt = now + data.expires_in * 1000;
return cachedToken;
}
export async function searchGettyImages(query) {
const token = await getGettyToken();
const res = await fetch(`${GETTY_SEARCH_URL}?phrase=${encodeURIComponent(query)}`, {
headers: { Authorization: `Bearer ${token}` }
});
const data = await res.json();
return data;
}
// server/routes.js
import express from "express";
import { searchGettyImages } from "./getty.js";
const router = express.Router();
router.get("/api/getty/search", async (req, res) => {
try {
const q = req.query.q || "";
const results = await searchGettyImages(q);
res.json(results);
} catch (err) {
res.status(500).json({ error: "Getty API error", details: err.message });
}
});
export default router;
// frontend script example
async function searchImages() {
const q = document.getElementById("search").value;
const res = await fetch(`/api/getty/search?q=${encodeURIComponent(q)}`);
const data = await res.json();
console.log("Getty results:", data);
}
You integrate Bolt.new AI with the Getty Images API simply by writing backend code that performs Getty’s OAuth token exchange, caches the token, and makes authenticated REST calls to Getty’s search endpoints. Everything lives in normal Node.js files inside Bolt’s server folder, using environment variables for credentials, and the frontend talks only to your own backend routes—not directly to Getty.
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