Zapier ChatGPT Integration: 5,000+ App Automations

Introduction

Connect ChatGPT to 5,000+ apps with zero-code automation and transform your workflow efficiency. Zapier's integration platform enables you to build intelligent workflows connecting ChatGPT to Airtable, Notion, Gmail, Slack, Salesforce, Google Sheets, HubSpot, and thousands more applications—without writing a single line of code.

Business teams using Zapier ChatGPT integrations automate 100+ workflows per week, saving an average of 15+ hours on manual data entry, content generation, and data enrichment tasks. Whether you're summarizing emails, analyzing survey responses, extracting action items from Slack conversations, or enriching CRM leads with AI insights, Zapier makes ChatGPT accessible to every business process.

This comprehensive guide covers both webhook-based quick setups and custom Zapier app development for production-grade integrations. You'll learn authentication patterns, trigger configurations, action definitions, and real-world automation workflows used by thousands of businesses.

Ready to automate your business with AI? Let's connect ChatGPT to your entire tech stack.

Why Use Zapier with ChatGPT

No-Code Simplicity Meets AI Power

Zapier ChatGPT integration combines visual workflow design with advanced AI capabilities, enabling non-technical teams to build sophisticated automations:

Automation Use Cases:

  • Data Enrichment: Enhance CRM records with AI-generated summaries, sentiment analysis, and categorization
  • Content Generation: Automatically create social posts, blog drafts, email responses, and marketing copy
  • Sentiment Analysis: Analyze customer feedback, survey responses, and support tickets for emotional tone
  • Smart Routing: Route support tickets, sales leads, and content submissions based on AI classification
  • Document Processing: Extract insights from PDFs, invoices, contracts, and research papers

Business Benefits

Pre-Built Integrations: Zapier provides 5,000+ app connectors with standardized authentication, error handling, and data formatting—no API documentation required.

Visual Workflow Builder: Drag-and-drop interface for designing multi-step automations with conditional logic, filters, and loops.

Production-Ready Infrastructure: Enterprise-grade reliability with 99.9% uptime, automatic retries, error notifications, and task history logging.

Technical Advantages

Webhook Triggers: Real-time automation activation when events occur in your ChatGPT app (new conversation, completed task, user feedback).

Multi-Step Zaps: Chain multiple actions together—trigger on Gmail, process with ChatGPT, save to Airtable, notify in Slack, update Salesforce.

Error Handling: Built-in error recovery with automatic retries, email alerts, and fallback actions for failed steps.

Rate Limiting: Automatic queue management and delay controls to respect API rate limits and prevent throttling.

Learn more about ChatGPT app architecture and webhook automation patterns.

Prerequisites

Before building Zapier ChatGPT automations, ensure you have:

Required Accounts and Access

  1. Zapier Account: Free tier supports 100 tasks/month (sufficient for testing). Starter ($19.99/mo) unlocks 750 tasks, multi-step Zaps, and premium apps. Professional ($49/mo) adds paths, custom logic, and unlimited premium apps.

  2. ChatGPT App with API Endpoint: A deployed ChatGPT app with webhook endpoint or REST API. If using MakeAIHQ's no-code platform, your app automatically includes Zapier-ready webhook URLs.

  3. API Authentication Credentials: API key, OAuth 2.0 credentials, or JWT tokens for authenticating Zapier requests to your ChatGPT endpoint.

Recommended Knowledge

  • Basic understanding of REST APIs and JSON formatting
  • Familiarity with Zapier's trigger-action workflow model
  • OAuth 2.0 authentication concepts (for custom app integrations)

Ready to automate? Let's build your first integration.

Implementation Guide

We'll cover two implementation methods: webhook-based quick setup (fastest, no code) and custom Zapier app development (production-grade, branded integration).

Method 1: Use Zapier Webhooks (No Custom Integration)

The fastest way to connect ChatGPT to Zapier is using Webhooks by Zapier—a built-in app that sends/receives HTTP requests.

Step 1: Create Webhook Trigger

In Zapier, create a new Zap and select Webhooks by Zapier as the trigger:

{
  "trigger_type": "Catch Hook",
  "webhook_url": "https://hooks.zapier.com/hooks/catch/123456/abcdef/",
  "description": "Receives ChatGPT completion events",
  "sample_data": {
    "event": "completion.created",
    "conversation_id": "conv_abc123",
    "user_prompt": "Summarize this email",
    "ai_response": "Email summary: Meeting scheduled for 2PM...",
    "timestamp": "2026-12-25T10:30:00Z",
    "metadata": {
      "user_id": "user_xyz789",
      "model": "gpt-4",
      "tokens_used": 150
    }
  }
}

Configuration:

  • Copy the webhook URL provided by Zapier
  • Configure your ChatGPT app to POST events to this URL when completions finish
  • Test the trigger by sending a sample webhook request
  • Zapier will detect the data structure automatically

Step 2: Configure ChatGPT Action via Webhook

To send prompts to ChatGPT from Zapier, use Webhooks by Zapier action with POST request:

{
  "method": "POST",
  "url": "https://api.your-chatgpt-app.com/v1/completions",
  "headers": {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  "body": {
    "prompt": "{{trigger.email_body}}",
    "model": "gpt-4",
    "max_tokens": 500,
    "temperature": 0.7,
    "user_context": {
      "email_subject": "{{trigger.subject}}",
      "sender": "{{trigger.from_email}}"
    }
  },
  "response_parsing": {
    "ai_response": "{{response.choices[0].message.content}}",
    "tokens_used": "{{response.usage.total_tokens}}",
    "completion_id": "{{response.id}}"
  }
}

Dynamic Field Mapping:

  • Use {{trigger.field_name}} to reference data from previous Zap steps
  • Map ChatGPT response fields to subsequent actions (Airtable, Notion, etc.)
  • Add error handling with "Only continue if..." filters

Method 2: Build Custom Zapier Integration

For branded, production-ready integrations, build a custom Zapier app using Zapier CLI.

Install Zapier CLI

# Install Node.js 18+ (prerequisite)
node --version  # Verify Node.js 18+

# Install Zapier Platform CLI globally
npm install -g zapier-platform-cli

# Verify installation
zapier --version  # Should show v15.x.x

# Authenticate with Zapier account
zapier login

Initialize Zapier App

# Create new Zapier app project
zapier init chatgpt-ai-app --template minimal

# Navigate to project directory
cd chatgpt-ai-app

# Install dependencies
npm install

# Project structure created:
# ├── package.json
# ├── index.js           # App definition
# ├── authentication.js  # Auth configuration
# ├── triggers/          # Polling/webhook triggers
# ├── creates/           # Actions (create, update, search)
# └── test/              # Unit tests

Step 1: Configure Authentication

Define API key authentication (or OAuth 2.0 for advanced use cases):

authentication.js (API Key Method):

module.exports = {
  type: 'custom',

  // Authentication fields shown to users
  fields: [
    {
      key: 'apiKey',
      label: 'API Key',
      required: true,
      type: 'string',
      helpText: 'Find your API key at https://your-app.com/settings/api'
    },
    {
      key: 'apiUrl',
      label: 'API Base URL',
      required: false,
      type: 'string',
      default: 'https://api.your-chatgpt-app.com',
      helpText: 'Custom API endpoint (leave blank for default)'
    }
  ],

  // Test authentication by making API call
  test: async (z, bundle) => {
    const response = await z.request({
      url: `${bundle.authData.apiUrl}/v1/auth/verify`,
      method: 'GET',
      headers: {
        'Authorization': `Bearer ${bundle.authData.apiKey}`
      }
    });

    // If test call succeeds, authentication is valid
    return response.data;
  },

  // Inject auth headers into all API requests
  connectionLabel: (z, bundle) => {
    return bundle.inputData.user_email || 'ChatGPT AI';
  }
};

OAuth 2.0 Alternative (for production apps):

module.exports = {
  type: 'oauth2',
  oauth2Config: {
    authorizeUrl: {
      url: 'https://your-app.com/oauth/authorize',
      params: {
        client_id: '{{process.env.CLIENT_ID}}',
        response_type: 'code',
        redirect_uri: '{{bundle.inputData.redirect_uri}}',
        scope: 'read_data write_data'
      }
    },
    getAccessToken: {
      url: 'https://your-app.com/oauth/token',
      method: 'POST',
      body: {
        grant_type: 'authorization_code',
        client_id: '{{process.env.CLIENT_ID}}',
        client_secret: '{{process.env.CLIENT_SECRET}}',
        code: '{{bundle.inputData.code}}',
        redirect_uri: '{{bundle.inputData.redirect_uri}}'
      }
    },
    refreshAccessToken: {
      url: 'https://your-app.com/oauth/token',
      method: 'POST',
      body: {
        grant_type: 'refresh_token',
        refresh_token: '{{bundle.authData.refresh_token}}',
        client_id: '{{process.env.CLIENT_ID}}',
        client_secret: '{{process.env.CLIENT_SECRET}}'
      }
    },
    scope: 'read_data,write_data'
  },
  test: async (z, bundle) => {
    const response = await z.request('https://your-app.com/api/me');
    return response.data;
  }
};

Learn more about OAuth 2.0 implementation for ChatGPT apps.

Step 2: Configure Triggers

Polling Trigger (checks for new data every 5-15 minutes):

triggers/new_completion.js:

module.exports = {
  key: 'new_completion',
  noun: 'Completion',
  display: {
    label: 'New ChatGPT Completion',
    description: 'Triggers when a new ChatGPT completion is created.',
    important: true
  },

  operation: {
    // Polling configuration
    perform: async (z, bundle) => {
      const response = await z.request({
        url: `${bundle.authData.apiUrl}/v1/completions`,
        method: 'GET',
        headers: {
          'Authorization': `Bearer ${bundle.authData.apiKey}`
        },
        params: {
          limit: 100,
          since: bundle.meta.page ? bundle.meta.page : new Date().toISOString(),
          order: 'desc'
        }
      });

      // Return array of completion objects
      return response.data.completions;
    },

    // Sample data for Zap setup
    sample: {
      id: 'cmpl_abc123',
      created_at: '2026-12-25T10:30:00Z',
      prompt: 'Summarize this email',
      response: 'Email summary: Meeting at 2PM...',
      model: 'gpt-4',
      tokens_used: 150,
      user_id: 'user_xyz789'
    },

    // Output field definitions
    outputFields: [
      {key: 'id', label: 'Completion ID', type: 'string'},
      {key: 'created_at', label: 'Created At', type: 'datetime'},
      {key: 'prompt', label: 'User Prompt', type: 'text'},
      {key: 'response', label: 'AI Response', type: 'text'},
      {key: 'model', label: 'Model Used', type: 'string'},
      {key: 'tokens_used', label: 'Tokens Used', type: 'integer'},
      {key: 'user_id', label: 'User ID', type: 'string'}
    ]
  }
};

REST Hook Trigger (real-time webhook notifications):

triggers/completion_webhook.js:

const subscribeHook = async (z, bundle) => {
  const response = await z.request({
    url: `${bundle.authData.apiUrl}/v1/webhooks`,
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${bundle.authData.apiKey}`,
      'Content-Type': 'application/json'
    },
    body: {
      target_url: bundle.targetUrl,  // Zapier webhook URL
      event: 'completion.created'
    }
  });

  return response.data;
};

const unsubscribeHook = async (z, bundle) => {
  await z.request({
    url: `${bundle.authData.apiUrl}/v1/webhooks/${bundle.subscribeData.id}`,
    method: 'DELETE',
    headers: {
      'Authorization': `Bearer ${bundle.authData.apiKey}`
    }
  });
};

module.exports = {
  key: 'completion_webhook',
  noun: 'Completion',
  display: {
    label: 'New Completion (Instant)',
    description: 'Triggers instantly when a ChatGPT completion is created.'
  },

  operation: {
    type: 'hook',
    performSubscribe: subscribeHook,
    performUnsubscribe: unsubscribeHook,

    perform: async (z, bundle) => {
      // Return webhook payload as-is
      return [bundle.cleanedRequest];
    },

    sample: {
      id: 'cmpl_abc123',
      event: 'completion.created',
      completion: {
        prompt: 'Analyze sentiment',
        response: 'Sentiment: Positive (0.85 confidence)',
        model: 'gpt-4'
      }
    }
  }
};

Step 3: Define Actions

Create Completion Action:

creates/create_completion.js:

module.exports = {
  key: 'create_completion',
  noun: 'Completion',
  display: {
    label: 'Create ChatGPT Completion',
    description: 'Generates a ChatGPT response from a prompt.',
    important: true
  },

  operation: {
    // Input fields shown to users
    inputFields: [
      {
        key: 'prompt',
        label: 'Prompt',
        type: 'text',
        required: true,
        helpText: 'The user prompt/question for ChatGPT'
      },
      {
        key: 'model',
        label: 'Model',
        type: 'string',
        required: false,
        default: 'gpt-4',
        choices: ['gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo'],
        helpText: 'ChatGPT model to use'
      },
      {
        key: 'max_tokens',
        label: 'Max Tokens',
        type: 'integer',
        required: false,
        default: 500,
        helpText: 'Maximum response length (50-4000 tokens)'
      },
      {
        key: 'temperature',
        label: 'Temperature',
        type: 'number',
        required: false,
        default: 0.7,
        helpText: 'Creativity (0.0 = focused, 1.0 = creative)'
      },
      {
        key: 'system_message',
        label: 'System Message',
        type: 'text',
        required: false,
        helpText: 'Optional system instructions for AI behavior'
      }
    ],

    // API request to create completion
    perform: async (z, bundle) => {
      const response = await z.request({
        url: `${bundle.authData.apiUrl}/v1/completions`,
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${bundle.authData.apiKey}`,
          'Content-Type': 'application/json'
        },
        body: {
          prompt: bundle.inputData.prompt,
          model: bundle.inputData.model || 'gpt-4',
          max_tokens: parseInt(bundle.inputData.max_tokens) || 500,
          temperature: parseFloat(bundle.inputData.temperature) || 0.7,
          system_message: bundle.inputData.system_message || ''
        }
      });

      return response.data;
    },

    // Sample output
    sample: {
      id: 'cmpl_abc123',
      response: 'Based on your prompt, here is the analysis...',
      model: 'gpt-4',
      tokens_used: 150,
      created_at: '2026-12-25T10:30:00Z'
    },

    // Output field definitions
    outputFields: [
      {key: 'id', label: 'Completion ID'},
      {key: 'response', label: 'AI Response'},
      {key: 'model', label: 'Model Used'},
      {key: 'tokens_used', label: 'Tokens Used'},
      {key: 'created_at', label: 'Created At'}
    ]
  }
};

Step 4: Test and Deploy

# Run local tests
zapier test

# Expected output:
# ✓ Authentication test passed
# ✓ Trigger: new_completion - OK
# ✓ Action: create_completion - OK

# Register app with Zapier (first time only)
zapier register "ChatGPT AI"

# Push app version to Zapier
zapier push

# Output:
# Build successful!
# Version 1.0.0 uploaded
# Ready for private use

# Invite beta testers
zapier users:add user@example.com

# Promote to public (after testing)
zapier promote 1.0.0

Your custom Zapier integration is now live! Users can find it in Zapier's app directory and build automations.

Explore advanced MCP server patterns for production ChatGPT apps.

Popular Zapier-ChatGPT Workflows

Real-world automation workflows used by thousands of businesses:

1. Gmail → ChatGPT → Notion: Auto-Summarize Emails

Use Case: Automatically summarize important emails into a Notion database for team review.

Setup:

  1. Trigger: Gmail - New Email Matching Search (label:important)
  2. Action: ChatGPT - Create Completion
    • Prompt: "Summarize this email in 2-3 sentences: {{email_body}}"
  3. Action: Notion - Create Database Item
    • Title: {{email_subject}}
    • Summary: {{chatgpt_response}}
    • Sender: {{from_email}}
    • Date: {{email_date}}

Result: Every important email automatically summarized in Notion within seconds.

2. Typeform → ChatGPT → Airtable: Sentiment Analysis

Use Case: Analyze customer survey responses with AI sentiment detection.

Setup:

  1. Trigger: Typeform - New Entry
  2. Action: ChatGPT - Create Completion
    • Prompt: "Analyze sentiment (Positive/Negative/Neutral) and extract key themes from: {{survey_response}}"
  3. Action: Airtable - Create Record
    • Customer Name: {{typeform_name}}
    • Response: {{typeform_response}}
    • Sentiment: {{chatgpt_sentiment}}
    • Themes: {{chatgpt_themes}}
    • Score: {{typeform_nps_score}}

Result: Real-time sentiment dashboard in Airtable with AI-powered insights.

3. Slack → ChatGPT → Google Sheets: Extract Action Items

Use Case: Extract action items from Slack conversations and log them in Google Sheets.

Setup:

  1. Trigger: Slack - New Message Posted to Channel (#project-updates)
  2. Filter: Only continue if message contains "action item" or "TODO"
  3. Action: ChatGPT - Create Completion
    • Prompt: "Extract all action items from this Slack message. Format as bullet list: {{message_text}}"
  4. Action: Google Sheets - Create Spreadsheet Row
    • Date: {{message_timestamp}}
    • Channel: #project-updates
    • Action Items: {{chatgpt_response}}
    • Owner: {{message_user}}

Result: Automatic action item tracking without manual logging.

4. RSS → ChatGPT → Twitter: Generate Social Posts

Use Case: Auto-generate engaging Twitter posts from your blog's RSS feed.

Setup:

  1. Trigger: RSS by Zapier - New Item in Feed
  2. Action: ChatGPT - Create Completion
    • Prompt: "Write an engaging Twitter thread (3 tweets, 280 chars each) about this article: {{rss_title}} - {{rss_description}}"
  3. Action: Twitter - Create Tweet
    • Tweet Text: {{chatgpt_tweet_1}}
  4. Action: Twitter - Create Tweet
    • Tweet Text: {{chatgpt_tweet_2}} (reply to previous)
  5. Action: Twitter - Create Tweet
    • Tweet Text: {{chatgpt_tweet_3}} (reply to previous)

Result: Automated Twitter promotion for every blog post published.

5. Calendly → ChatGPT → Salesforce: Enrich Leads

Use Case: Enrich new meeting bookings with AI-generated lead insights.

Setup:

  1. Trigger: Calendly - Invitee Created
  2. Action: ChatGPT - Create Completion
    • Prompt: "Based on this meeting context, suggest 3 talking points and identify potential pain points: Company: {{company_name}}, Meeting type: {{event_type}}, Notes: {{invitee_notes}}"
  3. Action: Salesforce - Update Lead
    • Lead ID: {{invitee_email}}
    • Talking Points: {{chatgpt_talking_points}}
    • Pain Points: {{chatgpt_pain_points}}
    • Next Action: "Prepare for {{event_type}} meeting"

Result: Sales reps get AI-powered meeting prep before every call.

Discover more workflow automation patterns for ChatGPT apps.

Advanced Automation Patterns

Multi-Step Zaps with Conditional Logic

Use Paths feature to create branching workflows:

Trigger: Gmail - New Email
├─ Path A: If subject contains "urgent"
│  ├─ ChatGPT - Summarize with high priority
│  ├─ Slack - Notify #urgent-inbox
│  └─ Notion - Create urgent task
└─ Path B: If subject contains "feedback"
   ├─ ChatGPT - Analyze sentiment
   ├─ Airtable - Log feedback with sentiment
   └─ Email - Send auto-reply

Loop Through Arrays with Iterator

Process multiple items from a single trigger:

Trigger: Airtable - New Records (batch of 10)
├─ Looping - Iterator (split into individual records)
│  ├─ ChatGPT - Enrich each record
│  └─ Airtable - Update record with enrichment
└─ Slack - Notify when batch complete

Error Handling with Zapier Error Handler

Add fallback actions when primary action fails:

Action: ChatGPT - Create Completion
├─ On Success: Continue to next step
└─ On Error:
   ├─ Email - Notify admin of failure
   ├─ Google Sheets - Log error details
   └─ Zapier - Retry after 5 minutes

Rate Limiting with Delay After Queue

Prevent API throttling with controlled delays:

Trigger: Typeform - New Entry (high volume)
├─ Delay After Queue - 2 seconds between actions
├─ ChatGPT - Create Completion (respects rate limits)
└─ Airtable - Create Record

Learn advanced ChatGPT API optimization strategies.

Testing and Monitoring

Test Zap with Sample Data

Before enabling your Zap:

  1. Click Test & Review in Zap editor
  2. Use real sample data (not mock data) for accurate testing
  3. Verify output fields map correctly to subsequent actions
  4. Check for missing data, formatting issues, or API errors

Monitor Task History

Track all Zap executions in Task History dashboard:

  • Success: Green checkmark - automation completed
  • Filtered: Orange dash - Zap filtered out, didn't run action
  • Error: Red X - click for error details and retry option

Set Up Email Alerts

Get notified of Zap failures:

  1. Navigate to Zap settings
  2. Enable Email me on Zap errors
  3. Optionally add Error Handler step to retry failed tasks automatically

Track Usage Against Plan Limits

Monitor task consumption in Zapier dashboard:

  • Free: 100 tasks/month
  • Starter: 750 tasks/month
  • Professional: 2,000 tasks/month
  • Team: 50,000+ tasks/month

Each Zap action counts as 1 task (trigger does not count).

Troubleshooting

Authentication Failures

Symptom: "Authentication failed" error when connecting ChatGPT app.

Solutions:

  • Verify API key is active (check your ChatGPT app settings)
  • Ensure API base URL is correct (https, no trailing slash)
  • Test API endpoint with curl to confirm it's accessible
  • Regenerate API key if expired or rotated

Trigger Not Firing

Polling Trigger Issues:

  • Check polling interval (5-15 minutes on Free plan, 1-2 minutes on paid)
  • Verify API returns new items in chronological order
  • Ensure trigger hasn't hit deduplication (same ID returned twice)

Webhook Trigger Issues:

  • Confirm webhook URL is registered in your ChatGPT app
  • Test webhook delivery with curl POST to Zapier hook URL
  • Check firewall/CORS settings aren't blocking Zapier requests

Action Errors

Missing Required Fields:

  • Review action input fields—all required fields must have values
  • Use "Only continue if..." filter to prevent empty data from triggering actions

API Rate Limits:

  • Add Delay After Queue step before ChatGPT action
  • Upgrade to higher ChatGPT plan with increased rate limits
  • Use Error Handler to retry after rate limit resets

Timeout Errors

Symptom: "Request timed out after 30 seconds."

Solutions:

  • Increase timeout in Code by Zapier step (max 60 seconds on paid plans)
  • Optimize ChatGPT prompt to reduce processing time
  • Use async webhook pattern: trigger Zap, return immediately, webhook back when complete

Explore error handling best practices for production ChatGPT apps.

Conclusion

Zapier ChatGPT integration unlocks unlimited automation possibilities across 5,000+ business applications. From email summarization and sentiment analysis to lead enrichment and content generation, you can connect AI to every workflow without writing code.

Key Takeaways:

  • Webhook method for quick setups (5 minutes to first automation)
  • Custom Zapier app for branded, production-grade integrations
  • Real-world workflows proven by thousands of businesses
  • Advanced patterns for conditional logic, loops, error handling, rate limiting

Build ChatGPT Automations with MakeAIHQ + Zapier

Ready to automate your business with AI? MakeAIHQ's no-code platform generates production-ready ChatGPT apps with built-in Zapier webhook endpoints—no MCP server coding required.

Get Started:

  1. Create free account (no credit card required)
  2. Use Instant App Wizard to generate ChatGPT app in 5 minutes
  3. Connect to Zapier with pre-configured webhook URLs
  4. Automate 5,000+ apps with zero-code workflows

Popular Starting Templates:

  • Fitness Studio ChatGPT App + Zapier (connect to Mindbody, Calendly, Mailchimp)
  • Restaurant Reservation Assistant + Zapier (connect to OpenTable, Yelp, Square)
  • Real Estate Lead Qualifier + Zapier (connect to Zillow, HubSpot, DocuSign)

Transform your workflows with AI automation—start building today.

Related Resources

Internal Links:

  • ChatGPT App Builder Guide
  • No-Code ChatGPT Platform Comparison
  • Webhook Automation for ChatGPT Apps
  • MCP Server Architecture Guide
  • OAuth 2.0 for ChatGPT Apps
  • API Optimization Strategies
  • Error Handling Best Practices
  • REST API Design for ChatGPT
  • Workflow Automation Patterns
  • ChatGPT App Features Overview

External Resources:

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      "@type": "HowToStep",
      "name": "Define Triggers",
      "text": "Create polling or webhook triggers to detect ChatGPT events",
      "url": "https://makeaihq.com/guides/cluster/zapier-chatgpt-integration-guide#step-2-configure-triggers"
    },
    {
      "@type": "HowToStep",
      "name": "Build Actions",
      "text": "Define ChatGPT completion action with input/output fields",
      "url": "https://makeaihq.com/guides/cluster/zapier-chatgpt-integration-guide#step-3-define-actions"
    },
    {
      "@type": "HowToStep",
      "name": "Test and Deploy",
      "text": "Run local tests, invite beta testers, and publish to Zapier",
      "url": "https://makeaihq.com/guides/cluster/zapier-chatgpt-integration-guide#step-4-test-and-deploy"
    }
  ]
}