/lovable-integrations

Lovable and eBay API integration: Step-by-Step Guide 2025

Learn how to integrate Lovable with the eBay API. Follow our step-by-step guide for best practices, troubleshooting tips, and a seamless connection.

Matt Graham, CEO of Rapid Developers

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How to integrate Lovable with eBay API?

 

Configuring Dependencies in Your Lovable Project

 

Since Lovable does not have a terminal, you need to manually add the necessary dependency into your project’s configuration file. Locate your project's package configuration (often a file named package.json) and add the following dependency inside the "dependencies" section to include Axios for HTTP requests.


{
  "dependencies": {
    "axios": "^0.27.2"
    // ...other dependencies
  }
}

 

Creating the eBay API Integration File

 

Create a new file named eBayAPI.ts in your project’s source folder (for example, under src/). This file will contain the TypeScript code for interacting with the eBay API. Paste the following code into that file.


import axios from 'axios';

// eBay API endpoint for the Finding Service
const EBAYAPIENDPOINT = 'https://svcs.ebay.com/services/search/FindingService/v1';

// Replace 'YOUREBAYAPP_ID' with your actual eBay Application ID (API key)
const APPID = 'YOUREBAYAPPID';

export interface SearchResult {
  title: string;
  viewItemURL: string;
  // Add any additional fields you need from the API response
}

export async function searchEbayItems(query: string): Promise {
  try {
    const params = {
      'OPERATION-NAME': 'findItemsByKeywords',
      'SERVICE-VERSION': '1.0.0',
      'SECURITY-APPNAME': APP_ID,
      'RESPONSE-DATA-FORMAT': 'JSON',
      'keywords': query,
      'paginationInput.entriesPerPage': 10
    };

    const response = await axios.get(EBAYAPIENDPOINT, { params });
    // Access the items based on eBay API response structure. Adjust path if needed.
    const items = response.data.findItemsByKeywordsResponse[0].searchResult[0].item || [];
    return items.map((item: any) => ({
      title: item.title[0],
      viewItemURL: item.viewItemURL[0]
    }));
  } catch (error) {
    console.error('Error fetching items from eBay:', error);
    return [];
  }
}

 

Setting Up API Credentials

 

For better management of your eBay API credentials, create or update your project's configuration file (for example, config.ts). If Lovable supports environment configuration, you can store your eBay App ID there. Otherwise, simply copy your actual App ID into the following file.


export const EBAYAPPID = 'YOUREBAYAPP_ID'; // Replace with your actual eBay App ID

Then, update your eBayAPI.ts to import this value. Replace the constant declaration with:


import { EBAYAPPID } from './config';
const APPID = EBAYAPP_ID;

 

Integrating eBay API Calls in Your Application Code

 

Decide where in your project you want to trigger an eBay search—for example, in your search handler file (e.g., Search.ts). Insert the following snippet where it fits within your code logic. This snippet imports the function from eBayAPI.ts and calls it, then logs the results to the console. You can later extend it to update your project’s UI.


import { searchEbayItems } from './eBayAPI';

async function performSearch() {
  const query = 'laptop'; // Replace with dynamic user input if needed
  const results = await searchEbayItems(query);

  console.log('Search Results:', results);
  // Add your logic here to display the results in your project UI
}

performSearch();

 

Testing Your eBay API Integration

 

Once you have inserted the code:

• Ensure that you have replaced the placeholder 'YOUREBAYAPP_ID' with your valid eBay Application ID.
• Save all modified files.
• Run your Lovable project; the performSearch function should be executed, and the console will log the fetched eBay items.

 

Final Adjustments and Customizations

 

After confirming that the basic integration works, you can:

• Adjust the number of search results by modifying the parameter paginationInput.entriesPerPage.
• Map additional fields from the API response into your SearchResult interface as needed.
• Integrate the search results into your Lovable project’s user interface for a more user-friendly experience.

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