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

 

Creating the Propertybase Integration File

 

• Create a new file in your Bolt.new AI project named propertybaseIntegration.ts.
• Insert the following TypeScript code into that file. This code defines a function that sends lead data to Propertybase using their API. (Replace YOURAPIKEY_HERE with your actual Propertybase API key and adjust apiUrl if necessary.)

  
  import fetch from 'node-fetch';
  
  export interface LeadData {
    firstName: string;
    lastName: string;
    email: string;
    phone?: string;
    // Add additional fields as needed
  }
  export async function sendLeadToPropertybase(lead: LeadData): Promise {
    const apiUrl = 'https://api.propertybase.com/leads'; // Adjust to your Propertybase endpoint if needed
    const apiKey = process.env.PROPBASEAPIKEY || 'YOURAPIKEY_HERE';
    const headers = {
      'Content-Type': 'application/json',
      'Authorization': Bearer ${apiKey}
    };
    try {
      const response = await fetch(apiUrl, {
        method: 'POST',
        headers: headers,
        body: JSON.stringify(lead)
      });
      if (!response.ok) {
        throw new Error('Failed to send lead to Propertybase');
      }
      return await response.json();
    } catch (error) {
      console.error('Error in sendLeadToPropertybase:', error);
      throw error;
    }
  }
      

  
  

 

Integrating the Propertybase Function into Your Main Application Code

 

• Open your main TypeScript file (for example, main.ts or the file where you handle lead submissions).
• At the top of the file, import the function you just created:

  
  import { sendLeadToPropertybase, LeadData } from './propertybaseIntegration';
      

• In the appropriate section of your code where you handle a new lead (for example, after processing a form submission), call the sendLeadToPropertybase function. For instance:

  
  // Example function to handle a new lead submission
  async function handleNewLeadSubmission(formData: any) {
    // Map your formData to the LeadData interface
    const lead: LeadData = {
      firstName: formData.firstName,
      lastName: formData.lastName,
      email: formData.email,
      phone: formData.phone
    };
  
    try {
      const result = await sendLeadToPropertybase(lead);
      console.log('Lead successfully sent to Propertybase:', result);
      // You can further process the response as needed
    } catch (error) {
      console.error('Error sending lead to Propertybase:', error);
      // Handle error (like showing an error message in your UI)
    }
  }
  // Example usage if you have an event listener for form submission
  document.getElementById('leadForm')?.addEventListener('submit', async (event) => {
    event.preventDefault();
    const formData = {
      firstName: (document.getElementById('firstName') as HTMLInputElement).value,
      lastName: (document.getElementById('lastName') as HTMLInputElement).value,
      email: (document.getElementById('email') as HTMLInputElement).value,
      phone: (document.getElementById('phone') as HTMLInputElement).value,
    };
    await handleNewLeadSubmission(formData);
  });
      

  
  

 

Configuring Environment Variables in Bolt.new AI

 

• Since Bolt.new AI doesn’t have a terminal, you must include any required dependencies directly in your code. For the node-fetch dependency, add the following at the very top of your main file to ensure the module is loaded. (Make sure that the node-fetch library is available in your project’s environment or bundle the dependency manually.)

  
  import fetch from 'node-fetch';
      

• Set your environment variable for Propertybase API key. In Bolt.new, you can add your configuration in a similar way to secrets. For example, if your project supports a configuration object, insert your API key as follows:

  
  process.env.PROPBASEAPIKEY = 'YOURACTUALPROPERTYBASEAPIKEY';
      

  Insert this code in your main file before any calls to sendLeadToPropertybase are made.

 

Testing the Integration

 

• Save all the changes in your project.
• Trigger a lead submission through your Bolt.new AI interface by filling out and submitting the lead form.
• Open the console in your Bolt.new AI project to verify that the lead data is sent without errors and that the response from Propertybase is logged.

 

Final Adjustments and Deployment

 

• Review your code to ensure that all API endpoints, keys, and data mappings match the requirements of Propertybase.
• Once testing is complete and integration works as expected, save your project. Changes will be automatically deployed within Bolt.new AI.
• Monitor the logs for any unexpected errors and adjust the code as necessary.