/bolt.new-ai-integrations

Bolt.new AI and Zocdoc integration: Step-by-Step Guide 2025

Discover our comprehensive guide on integrating Bolt.new AI with Zocdoc. Follow easy steps to streamline patient bookings and boost efficiency.

Matt Graham, CEO of Rapid Developers

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How to integrate Bolt.new AI with Zocdoc?

 

Step 1: Creating the Zocdoc Integration File

 
  • Create a new file named zocdoc.ts within a folder called integrations in your project’s source directory. The path should be src/integrations/zocdoc.ts.
  • This file will contain the TypeScript class that handles communication with the Zocdoc API.

// src/integrations/zocdoc.ts
// This class encapsulates methods to interact with the Zocdoc API

export class ZocdocClient {
  private apiKey: string;
  private baseUrl: string;

  constructor(apiKey: string) {
    // Initialize with your Zocdoc API key
    this.apiKey = apiKey;
    // Set the base URL for Zocdoc API endpoints (update if necessary)
    this.baseUrl = 'https://api.zocdoc.com';
  }

  // Example method: Fetch doctor's availability
  async getDoctorAvailability(doctorId: string): Promise {
    const endpoint = ${this.baseUrl}/doctors/${doctorId}/availability;
    const response = await fetch(endpoint, {
      method: 'GET',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': Bearer ${this.apiKey}
      }
    });
    if (!response.ok) {
      throw new Error('Error fetching doctor availability');
    }
    return response.json();
  }

  // Add more methods for other Zocdoc API calls as needed
}

 

Step 2: Integrating ZocdocClient into Your Main Code

 
  • Open your main TypeScript file (for example, index.ts or main.ts) where you want to utilize the Zocdoc integration.
  • Import the ZocdocClient from the integration file you just created.
  • Initialize the client with your Zocdoc API key. (Replace YOURZOCDOCAPI_KEY with your actual key.)
  • Use the client to make API calls when needed.

// Example code in your main file (e.g., src/main.ts)
import { ZocdocClient } from './integrations/zocdoc';

// Replace with your actual Zocdoc API key
const zocdocApiKey: string = 'YOURZOCDOCAPI_KEY';

// Initialize the Zocdoc client
const zocdocClient = new ZocdocClient(zocdocApiKey);

// Example usage: Retrieve the availability for a given doctor
const doctorId = '12345';
zocdocClient.getDoctorAvailability(doctorId)
  .then(availability => {
    console.log('Doctor availability:', availability);
  })
  .catch(error => {
    console.error('Error fetching availability:', error);
  });

 

Step 3: Managing Dependencies Without a Terminal

 
  • Bolt.new AI does not provide a terminal interface, so any needed dependencies must be added directly within your code.
  • The above code uses the native fetch API for HTTP requests. Ensure that your project environment supports fetch (most modern browsers and some runtimes provide this natively).
  • If you need a polyfill or additional libraries (for example, if you are running in a Node.js environment that lacks fetch), add the following snippet at the very top of your main file to import the polyfill:

// Add this at the top of your main file if running in Node.js and fetch is not available
import 'node-fetch'; // This will import the fetch polyfill

 

Step 4: Inserting Your Zocdoc API Credentials Securely

 
  • Within Bolt.new AI, locate the section where you declare configuration or secret keys.
  • If your project has a configuration file (like config.ts or similar), add your Zocdoc API key there. For example:

// src/config.ts
export const API_KEYS = {
  ZOCDOC: 'YOURZOCDOCAPI_KEY'
  // Add any other API keys or secrets needed
};
  • Then update your import in the main file to use the key from the config:

// src/main.ts
import { API_KEYS } from './config';
import { ZocdocClient } from './integrations/zocdoc';

const zocdocClient = new ZocdocClient(API_KEYS.ZOCDOC);

 

Step 5: Testing the Integration

 
  • After inserting the above code, save all your changes.
  • Use the Bolt.new AI preview or run functionality (depending on your project interface) to test if the integration with Zocdoc works as expected.
  • Check the console logs to see the output from the API call. Any errors will be printed to the console for debugging.

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