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How to build Lead generation tool with Lovable?

Learn how to build a lead generation tool with Lovable. Follow our step-by-step guide to create effective, conversion-driving strategies for your business.

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How to build Lead generation tool with Lovable?

 
Project Setup in Lovable
 

  • Log into your Lovable account and create a new project. Name your project appropriately for the lead generation tool.
  • In the Lovable code editor, you will start with a base project structure. We will create two main files: index.html and main.js. These files will be where you insert the provided code snippets.

 
Creating the Lead Generation Form in index.html
 

  • Create a new file named index.html in your project.
  • Insert the following HTML code. This code sets up a simple lead capture form where users can input their name and email address. Include links to any external dependencies (via CDN) directly in the code because Lovable does not allow terminal installations.

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Lead Generation Tool</title>
    <!-- Including a CSS framework via CDN for styling (optional) -->
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/mini.css/3.0.1/mini-default.min.css">
  </head>
  <body>
    <header>
      <h1>Get Started with Our Service</h1>
    </header>
    <main>
      <form id="leadForm">
        <div>
          <label for="name">Your Name</label>
          <input type="text" id="name" name="name" placeholder="Enter your name" required>
        </div>
        <div>
          <label for="email">Your Email</label>
          <input type="email" id="email" name="email" placeholder="Enter your email" required>
        </div>
        <button type="submit">Get Started</button>
      </form>
      <div id="responseMessage"></div>
    </main>
    <!-- Link to the main JavaScript file -->
    <script src="main.js"></script>
  </body>
</html>

 
Setting Up JavaScript for Form Handling in main.js
 

  • Create a new file named main.js in your Lovable project.
  • Add the code below into main.js to capture the form submission, validate the data, and simulate sending the lead information to a backend service. Since Lovable does not offer a terminal, you add the logic directly. Any external dependency (if needed) should be included via a CDN in your index.html file.

document.addEventListener('DOMContentLoaded', function() {
  // Get reference to the form and the response message container
  var leadForm = document.getElementById('leadForm');
  var responseMessage = document.getElementById('responseMessage');

  // Listen for form submission
  leadForm.addEventListener('submit', function(event) {
    event.preventDefault(); // Prevent default form submission

    // Retrieve form values
    var name = document.getElementById('name').value.trim();
    var email = document.getElementById('email').value.trim();

    // Basic client-side validation
    if (!name || !email) {
      responseMessage.textContent = 'Please fill in both your name and email address.';
      return;
    }

    // Build the lead object
    var leadData = {
      name: name,
      email: email,
      timestamp: new Date().toISOString()
    };

    // Simulate sending data to a server using fetch API
    // Replace 'https://your-backend-endpoint.com/api/leads' with your actual endpoint if needed.
    fetch('https://your-backend-endpoint.com/api/leads', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(leadData)
    })
    .then(function(response) {
      // Here you can check response status and adjust the behavior accordingly
      if (response.ok) {
        responseMessage.textContent = 'Thank you! Your information has been submitted successfully.';
      } else {
        responseMessage.textContent = 'Oops! There was a problem submitting your info.';
      }
    })
    .catch(function(error) {
      responseMessage.textContent = 'Error: Unable to submit your details. Please try again later.';
      console.error('Submission error:', error);
    });

    // Optionally, reset the form for new input
    leadForm.reset();
  });
});

 
Integrating External Dependencies
 

  • If needed, include any external libraries via CDN directly in your index.html file. For instance, if you need a validation library or additional UI framework, add the appropriate <script> or <link> tags in the <head> section.
  • Since Lovable does not support a terminal, manual addition to the code is crucial for dependency management.

 
Testing Your Lead Generation Tool
 

  • Click on the Run button within Lovable to start your project.
  • Your application will launch in a preview window. Navigate to the lead generation form and fill in the fields.
  • Monitor the response message area below the form to confirm that the submission was either successful or handled gracefully when errors occur.

 
Finalizing and Sharing Your Project
 

  • Once you are satisfied with the functionality and design of your lead generation tool, save all your changes in Lovable.
  • You can now share the project by using Lovable's share options to invite users or copy the project’s live URL.
  • Remember to replace any placeholder URLs (such as https://your-backend-endpoint.com/api/leads) with your actual backend processing endpoint if you have one.

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How to Build a Lead Generation Tool with Lovable Using Express and Mongoose


const express = require('express');
const mongoose = require('mongoose');
const axios = require('axios');
const bodyParser = require('body-parser');

mongoose.connect('mongodb://localhost:27017/leadgen', {
  useNewUrlParser: true,
  useUnifiedTopology: true
});

const leadSchema = new mongoose.Schema({
  name: { type: String, required: true },
  email: { type: String, required: true, unique: true },
  phone: String,
  source: String,
  metadata: {
    utm\_source: String,
    utm\_medium: String,
    utm\_campaign: String
  },
  createdAt: { type: Date, default: Date.now }
});

const Lead = mongoose.model('Lead', leadSchema);

const app = express();
app.use(bodyParser.json());

app.post('/api/leads', async (req, res) => {
  try {
    const { name, email, phone, source, metadata } = req.body;
    const newLead = new Lead({ name, email, phone, source, metadata });
    await newLead.save();

    // Send data to Lovable API for lead nurturing
    await axios.post('https://api.lovable.com/v1/leads', {
      fullName: name,
      emailAddress: email,
      contactPhone: phone,
      campaignSource: source,
      extraData: metadata
    }, {
      headers: {
        'Authorization': 'Bearer YOUR_LOVABLE_API\_TOKEN',
        'Content-Type': 'application/json'
      }
    });

    res.status(201).json({ message: 'Lead created and forwarded to Lovable.' });
  } catch (err) {
    res.status(500).json({ error: err.message });
  }
});

app.listen(3000, () => {
  console.log('Server running on port 3000');
});

How to Build a Lead Generation Tool That Enriches Leads with Lovable API


const express = require('express');
const axios = require('axios');
const bodyParser = require('body-parser');
const Queue = require('bull');

const app = express();
app.use(bodyParser.json());

// Initialize a Bull queue for lead processing with Redis connection config.
const leadProcessingQueue = new Queue('lead-processing', {
  redis: { host: '127.0.0.1', port: 6379 }
});

// Function to enrich lead data using an external enrichment API.
async function fetchEnrichmentData(email) {
  const enrichmentApiUrl = 'https://api.enrichmentservice.com/v1/lookup';
  const response = await axios.post(enrichmentApiUrl, { email }, {
    headers: {
      'Authorization': 'Bearer YOUR_ENRICHMENT_API\_TOKEN',
      'Content-Type': 'application/json'
    }
  });
  return response.data;
}

// Process queued leads: enrich data then forward to Lovable API.
leadProcessingQueue.process(async (job, done) => {
  try {
    const { lead } = job.data;
    // Perform data enrichment.
    const enrichmentData = await fetchEnrichmentData(lead.email);
    const enrichedLead = { ...lead, enrichmentData };

    // Send enriched lead to Lovable's API.
    const lovableApiUrl = 'https://api.lovable.com/v1/leads/enriched';
    await axios.post(lovableApiUrl, {
      fullName: enrichedLead.name,
      emailAddress: enrichedLead.email,
      contactPhone: enrichedLead.phone,
      enrichment: enrichedLead.enrichmentData
    }, {
      headers: {
        'Authorization': 'Bearer YOUR_LOVABLE_API\_TOKEN',
        'Content-Type': 'application/json'
      }
    });
    done();
  } catch (error) {
    done(new Error(error));
  }
});

// API endpoint to receive leads and queue them for processing.
app.post('/api/leads/submit', async (req, res) => {
  const { name, email, phone } = req.body;
  if (!name || !email) {
    return res.status(400).json({ error: 'Name and email are required.' });
  }
  
  // Add the lead to the processing queue.
  await leadProcessingQueue.add({ lead: { name, email, phone }});
  res.status(200).json({ message: 'Lead received and queued for enrichment.' });
});

app.listen(3000, () => {
  console.log('Lead generation service listening on port 3000');
});

How to build a Lead Generation Tool with Lovable and Express.js


const express = require('express');
const bodyParser = require('body-parser');
const crypto = require('crypto');

const app = express();
const PORT = 4000;
const LOVABLE_WEBHOOK_SECRET = 'YOUR_LOVABLE_WEBHOOK\_SECRET';

const leadsStore = new Map();

app.use(bodyParser.json({
  verify: (req, res, buf) => {
    req.rawBody = buf.toString('utf8');
  }
}));

function verifyLovableWebhook(req, res, next) {
  const signature = req.headers['x-lovable-signature'];
  const expectedSig = crypto.createHmac('sha256', LOVABLE_WEBHOOK_SECRET)
    .update(req.rawBody)
    .digest('hex');
  if (signature !== expectedSig) {
    return res.status(401).send('Invalid webhook signature');
  }
  next();
}

app.post('/webhook/lovable', verifyLovableWebhook, (req, res) => {
  const event = req.body;
  if (event.type === 'lead.status.changed') {
    const { leadId, newStatus } = event.data;
    if (leadsStore.has(leadId)) {
      const existingLead = leadsStore.get(leadId);
      existingLead.status = newStatus;
      leadsStore.set(leadId, existingLead);
    }
  }
  res.status(200).end();
});

app.post('/api/leads', (req, res) => {
  const { id, name, email } = req.body;
  if (!id || !name || !email) {
    return res.status(400).json({ error: 'id, name, and email are required.' });
  }
  const newLead = {
    id,
    name,
    email,
    status: 'pending'
  };
  leadsStore.set(id, newLead);
  res.status(201).json({ message: 'Lead created', lead: newLead });
});

app.get('/api/leads/:id', (req, res) => {
  const { id } = req.params;
  if (!leadsStore.has(id)) {
    return res.status(404).json({ error: 'Lead not found.' });
  }
  res.status(200).json(leadsStore.get(id));
});

app.listen(PORT, () => {
  console.log(`Server is running on port ${PORT}`);
});

Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Lead generation tool with AI Code Generators

 

Understanding the Lead Generation Tool Requirements

 

  • Define the primary objective: generating quality leads by leveraging AI-powered code generators.
  • Identify target users and gather their needs such as contact management, automated email outreach, and engagement tracking.
  • List key functionalities including form integration, data capture, AI-driven analysis, and reporting.
  • Plan scalability so the tool adapts to increasing data loads and user traffic.

 

Setting Up Your Development Environment

 

  • Choose a development platform such as a local machine with a code editor or a cloud-based platform like Replit.
  • Install basic tools: text editor (e.g., VS Code), Git for version control, and a modern web browser.
  • Ensure you have an account on an AI service provider (e.g., OpenAI) for accessing code generation APIs.
  • Plan for integration with third-party services including CRM systems and email marketing tools.

 

Designing the Tool’s Architecture

 

  • Create a high-level architecture diagram outlining front-end, back-end, and third-party API integrations.
  • Decide on a modular design: separate the user interface, API communication, business logic, and data storage.
  • Employ cloud services or hosted servers to ensure data reliability and performance.
  • Incorporate security measures at every layer to protect sensitive lead data.

 

Implementing the User Interface

 

  • Design a clean, user-friendly interface that lets non-technical users easily set up campaigns and review leads.
  • Use no-code or low-code UI builders if you’re not comfortable with coding. Platforms like Webflow or Bubble can be helpful.
  • Ensure the forms are responsive and have validations to capture quality data from prospective leads.
  • Include dashboards to visualize analytics, such as lead conversion rates and engagement metrics.

 

Integrating AI Code Generators

 

  • Choose a reliable AI code generator API, such as OpenAI’s Codex, to assist with generating and refining code segments.
  • Understand the API’s documentation, authentication process, request limits, and pricing models.
  • Set up secure storage for your API keys using environment variables or built-in secret management tools in your platform.
  • Add code to interface with the API, sending requests for code generation tasks when needed.

import os
import requests

# Retrieve the API key from environment variables
api_key = os.getenv("AI_API\_KEY")
api\_url = "https://api.openai.com/v1/engines/codex/completions"

# Prepare payload for generating code snippet
payload = {
    "prompt": "Generate python code to connect to a CRM API",
    "max\_tokens": 150,
    "temperature": 0.5
}

headers = {
    "Authorization": f"Bearer {api\_key}",
    "Content-Type": "application/json"
}

response = requests.post(api\_url, json=payload, headers=headers)
print(response.json())

 

Connecting to the Lead Database

 

  • Plan for a secure database solution (e.g., MySQL, PostgreSQL, or NoSQL databases) to store lead information.
  • Implement data models that capture essential details such as contact information, source, and interaction history.
  • Employ standard ORM tools (like SQLAlchemy for Python) to interact with your database efficiently.
  • Ensure regular data backups and data encryption both at rest and during transmission.

 

Implementing Business Logic and AI Enhancements

 

  • Set up scripts for processing incoming lead data, such as filtering duplicates and scoring lead quality.
  • Use AI capabilities to analyze patterns in lead behavior and predict conversion likelihood.
  • Incorporate AI-generated code snippets to automate tasks such as email template creation or dynamic web content generation.
  • Regularly update and fine-tune your AI models based on user feedback and data performance.

 

Testing and Validation

 

  • Perform manual testing to ensure all tool components work as expected.
  • Automate testing for critical paths including lead capture, data processing, and integration with AI APIs.
  • Conduct user testing sessions with non-technical team members and collect their feedback for improvements.
  • Utilize error logging and exception handling throughout the code to increase robustness.

 

Deployment and Monitoring

 

  • Select a deployment platform that supports scalability, such as AWS, Google Cloud, or Heroku.
  • Use Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate testing and deployment processes.
  • Monitor your application using performance tracking tools and integrate logging systems to capture runtime errors.
  • Ensure regular updates and maintenance of both the tool and its underlying AI models for optimal performance.

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