Your First Web App with Claude Code

Building a Social Listening Tool That Actually Works

Most marketers spend 30+ minutes every morning manually searching social platforms for industry mentions. That's about to change. Using Claude Code, you can build a complete social listening dashboard in under 10 minutes — no coding experience required.

This walkthrough shows you how to create a real web application that automatically scans X (Twitter) for keywords relevant to your business, analyzes sentiment, and presents everything in a clean dashboard your entire team can access.

The Business Case for Custom Social Listening

Before diving into the build, let's be clear about why this matters. Whether you're tracking competitors, monitoring customer sentiment, or identifying potential leads, social listening gives you market intelligence that directly impacts your strategy.

The problem with existing tools? They're either expensive, overly complex, or miss the nuanced keywords specific to your industry. Building your own tool means you control exactly what gets tracked and how it's presented.

For this example, we'll build a tool that monitors conversations around global staffing, hiring, and remote work — but you can adapt this for any industry or use case.

Setting Up Your Social Listening Dashboard

Step 1: Initialize the Project

Start with a clear prompt to Claude Code:

`` Build a social listening tool that goes through all of X every morning for keywords that are relevant to my company [Your Company Name]. These can be keywords like [your industry keywords]. Build it out in an easy to read dashboard that I can refresh on a daily basis and can get intel on what everyone is talking about in my space. ``

Claude will begin building the framework for your dashboard, including the user interface and basic functionality.

Step 2: Choose Your Data Source

When Claude initially builds the app, it may suggest using X's developer API directly. However, there's a better approach: using Apify's scraper actors. This eliminates the need for developer accounts and provides more reliable data collection.

Why Apify over direct API access:

• No developer account requirements
• More robust scraping capabilities
• Built-in rate limiting and error handling
• Supports multiple social platforms

Step 3: Configure API Integration

Navigate to Apify's platform and create a new API token:

1. Go to Settings → API & Integrations
2. Create a new token (name it something like "Social Listening Tool")
3. Copy the API key
4. Add it to your Claude Code project

Important: API keys are sensitive. Never share them publicly, and consider creating temporary keys for testing that you can delete later.

Customizing Your Dashboard Features

Keyword Targeting

Your dashboard should track industry-specific keywords that matter to your business. Examples include:

• Direct product terms ("global staffing," "remote hiring")
• Industry buzzwords ("distributed teams," "talent acquisition")
• Competitor names and variations
• Problem statements your product solves

Sentiment Analysis

The tool automatically categorizes mentions as positive, negative, or neutral. This helps you quickly identify:

• Customer satisfaction trends
• Emerging complaints or issues
• Positive feedback you can amplify
• Competitive advantages or weaknesses

Engagement Metrics

Track which posts generate the most engagement to understand:

• What topics resonate with your audience
• Which conversations have the most reach
• Trending discussions in your space

Filtering Out the Noise

Raw social media data includes a lot of noise — company announcements, promotional content, and irrelevant mentions. Build in filters to focus on genuine customer conversations:

`` Can you make sure to exclude company profiles during these scans? Filter profiles that have keywords in their bios like "official" or "Inc." ``

This refinement ensures you're hearing from actual customers, prospects, and industry professionals rather than corporate accounts.

Advanced Customization Options

Geographic Filtering

Target specific regions if your business operates in particular markets.

Time-Based Analysis

Track mentions by time of day or day of week to identify optimal engagement windows.

Competitor Comparison

Set up separate keyword groups for different competitors to benchmark your share of voice.

Alert Thresholds

Configure the system to notify you when mention volume or sentiment changes significantly.

Making Your Dashboard Team-Accessible

Building the tool locally is just the first step. To make it valuable for your entire team, you'll need to deploy it as a web application that anyone can access.

The deployment process involves:

1. Preparing your code for production
2. Setting up hosting (platforms like Vercel or Netlify work well)
3. Configuring environment variables for API keys
4. Setting up automated daily scans

This transforms your local tool into a shared resource that provides daily market intelligence for your entire marketing team.

Iterating Based on Results

Your first version won't be perfect — and that's fine. Social listening tools improve through iteration:

• Week 1: Focus on getting clean data and removing noise
• Week 2: Refine keyword lists based on initial results
• Week 3: Add filtering rules to improve relevance
• Week 4: Customize the interface for your team's workflow

The key is starting with a basic version and improving it based on actual usage.

Cost Considerations

Apify charges based on usage, so monitor your costs as you scale:

• Start with a smaller keyword list to understand pricing
• Set up usage alerts to avoid surprise charges
• Consider running scans once daily rather than continuously
• Archive older data to reduce storage costs

For most marketing teams, the monthly cost is significantly less than commercial social listening tools while providing more targeted insights.

Key Takeaways

• Custom beats generic: Building your own social listening tool gives you exactly the data you need without paying for features you don't use
• Start simple, iterate fast: Begin with basic keyword tracking and add complexity based on what you learn from real data
• API integration is your friend: Services like Apify handle the technical complexity of social media scraping, letting you focus on insights
• Team accessibility matters: Deploy your tool as a web app so your entire marketing team can benefit from daily market intelligence
• Filter aggressively: The most valuable insights come from genuine customer conversations, not corporate noise