/lovable-integrations

Lovable and Zeplin integration: Step-by-Step Guide 2025

Discover how to integrate Lovable with Zeplin using our step-by-step guide. Enhance your design workflow with seamless collaboration and creative productivity.

Matt Graham, CEO of Rapid Developers

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How to integrate Lovable with Zeplin?

To integrate Lovable.dev with Zeplin, you use Zeplin’s REST API with Lovable’s HTTP connector blocks or Actions. You authenticate with Zeplin’s personal access tokens (PAT) — since Zeplin doesn’t support OAuth for general use — and you securely store that token inside Lovable’s environment secrets or configuration variables. In practice, Lovable will handle the HTTP calls (fetching projects, screens, or style guides), and Zeplin remains an external system — Lovable is only the glue that connects UI actions or triggers to Zeplin’s API.

 

Understand the Integration

 

Integration means linking Lovable’s logic layer (frontend events, flows, and actions) to Zeplin’s API endpoints. Zeplin is a design handoff tool that provides a REST API so you can read data like projects, screens, components, and styleguides. Lovable acts as your middleware that authenticates and makes those HTTP requests when a user performs some action (like clicking “Sync designs”).

Think of the data flow:

  • User interacts in Lovable UI → triggers a flow or action.
  • Lovable action calls Zeplin’s HTTPS API with your access token.
  • Zeplin returns JSON with designs or metadata → Lovable receives and displays it.

 

Authentication and Secrets

 

You need a Zeplin personal access token. You can create one under Profile → Developer → Personal Access Tokens in Zeplin. This token should be treated as secret. Store it in Lovable’s environment configuration (inside “Secrets” or “Environment Variables”). Never expose it in plain UI fields.

In Lovable’s backend logic, reference it as an environment variable, not hardcoded text. For example: ZEPLIN\_TOKEN

 

HTTP Request Setup

 

Lovable can send HTTP requests using built-in HTTP blocks or server-side actions. Below is an example of fetching the user’s Zeplin projects, assuming you have the token stored as ZEPLIN\_TOKEN.

 

// Example in Lovable server-side action or HTTP block

const response = await fetch("https://api.zeplin.dev/v1/projects", {
  method: "GET",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer " + process.env.ZEPLIN_TOKEN  // Store token in Lovable secrets
  }
});

if (!response.ok) {
  throw new Error("Failed to fetch Zeplin projects: " + response.statusText);
}

const projects = await response.json();

// Return the projects to Lovable UI
return projects;

 

Where Things Run

 

  • Lovable side: handles user interactions, stores config variables securely, sends HTTP requests, formats response data.
  • Zeplin side: serves as the data source — it doesn’t call Lovable back unless you use webhooks (for example, when someone updates a project or component).

 

Webhooks (Optional)

 

If you want Lovable to react to design changes automatically, you can configure Zeplin Webhooks in its API. You point Zeplin to a Lovable endpoint (Lovable supports receiving incoming HTTP requests). Each webhook event can trigger flows in Lovable (e.g., “Design updated”).

Register webhook via Zeplin’s API:

 

// Example payload for creating a webhook via Zeplin API

const webhookResponse = await fetch("https://api.zeplin.dev/v1/webhooks", {
  method: "POST",
  headers: {
    "Authorization": "Bearer " + process.env.ZEPLIN_TOKEN,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    url: "https://your-lovable-app.lovable.dev/webhooks/zeplin",
    events: ["project.updated"]  // Example: watch for project updates
  })
});

 

Error Handling & Limits

 

  • Zeplin may rate-limit requests; if you get 429 Too Many Requests, add throttling logic in Lovable or external backend.
  • If an API call fails, Lovable should handle it gracefully (display clear error, retry later).
  • Never store Zeplin full data dumps in Lovable’s local state indefinitely — treat Lovable as a lightweight middle layer.

 

Scaling the Integration

 

If your logic becomes heavy (e.g., syncing thousands of assets or analyzing styles) — move that part to an external backend (Node.js, Firebase, or similar). Then, Lovable only triggers that system via HTTP and shows results.

This approach keeps Lovable lean and stable while preserving security boundaries — secrets live in Lovable config, bulk processing happens outside.

 

In short: Use Lovable’s HTTP actions to call Zeplin’s REST API with your personal token stored securely, parse Zeplin’s JSON responses, and connect events or webhooks for automated updates. Keep complex or long-running syncs outside Lovable, but build all UI interactions and lightweight automation inside Lovable.

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