Bevy offers various integrations, including webhooks to automate workflows and communicate with external systems. However, Bevy currently doesn't support forwarding the same webhook payload to multiple endpoints natively. This limitation can be problematic for users who want to send event data to multiple systems or services at once, such as CRMs, analytics tools, or custom dashboards.

In this article, we’ll explore ways to work around this limitation using cloud-based services and custom Python solutions that can bridge this gap by enabling you to forward the same webhook payload to multiple targets.

Cloud-Based Tools to Forward Bevy Webhooks

Various cloud services can receive a single webhook from Bevy and distribute it to multiple endpoints. These tools provide flexible, scalable options without requiring you to write custom code from scratch.

1. Pipedream

Pipedream is a cloud-based platform that allows you to build workflows triggered by webhooks. You can easily receive a webhook from Bevy and forward it to multiple destinations, such as a CRM, email, or analytics service.

Key Features:

• No-code/low-code interface for creating workflows
• Supports multiple destination forwarding
• Integrates with thousands of APIs and services

How It Helps: Pipedream makes it easy to create a webhook-forwarding workflow for Bevy with minimal effort. If you're looking to send the same webhook payload to various platforms, Pipedream allows you to automate this process without needing to deploy a server.

2. Hookdeck

Hookdeck is designed to manage webhooks at scale, making it a great solution for forwarding Bevy's webhook payloads to multiple endpoints. It provides robust error handling, retries, and debugging tools.

Key Features:

• Easily forward webhooks to multiple destinations
• Real-time logging and monitoring
• Automatic retries on failures

How It Helps: Hookdeck's simplicity and reliability make it perfect for scenarios where you need to ensure Bevy’s webhooks are delivered to multiple systems without failure. It’s an excellent tool for managing complex integrations where data consistency and reliability are paramount.

3. Webhook.site

Webhook.site provides a simple way to receive and forward webhooks. You can easily set up custom forwarding rules to send a Bevy webhook to multiple destinations, making it ideal for testing and lightweight automation.

Key Features:

• Quick and simple setup for forwarding webhooks
• Easy-to-use interface for creating forwarding rules
• Inspect and replay webhook payloads

How It Helps: Webhook.site is a great option for developers or teams that need to forward Bevy’s webhooks to multiple endpoints in a straightforward manner. It’s especially useful in development or testing environments.

4. Zapier

Zapier is one of the most popular automation platforms and allows you to build workflows triggered by webhooks. You can set up a “Zap” to forward Bevy’s webhook to multiple endpoints like Google Sheets, CRM systems, or marketing platforms.

Key Features:

• No-code automation workflows
• Multi-step workflows for forwarding webhooks
• Supports thousands of app integrations

How It Helps: Zapier is a great option if you want a simple, user-friendly way to forward webhooks to multiple services without needing technical skills. It’s especially useful for non-developers who need to distribute Bevy’s event data across several systems.

5. IFTTT (If This Then That)

IFTTT is another popular automation platform that allows you to forward webhook payloads to multiple services. While it is simpler than Zapier, it works well for basic automation needs.

Key Features:

• Easy-to-use “If This Then That” logic
• Supports multiple webhook destinations
• Integrates with numerous services

How It Helps: IFTTT is ideal for users who need to forward Bevy webhooks to multiple endpoints but don’t require the complexity of Zapier or other automation platforms. It’s a lightweight solution perfect for simple use cases.

6. Webhook Relay

Webhook Relay is designed specifically for forwarding webhooks, offering more advanced features such as forwarding to private endpoints and providing detailed logging.

Key Features:

• Forward webhooks to multiple destinations, including private servers
• Real-time monitoring and introspection
• Flexible routing options

How It Helps: Webhook Relay is an excellent solution if you need to send Bevy’s webhook payloads to both public and private endpoints. It offers greater flexibility and control, making it a good fit for developers with more advanced requirements.

7. ngrok

Though primarily a tunneling tool, ngrok also allows you to receive webhooks and forward them to multiple destinations. It's particularly useful during local development when testing Bevy webhooks.

Key Features:

• Forward webhook payloads to multiple targets
• Secure tunneling for local servers
• Debug and inspect webhook payloads in real-time

How It Helps: If you're a developer working on integrating Bevy webhooks and need a quick way to expose your local environment for testing, ngrok is a great choice. It allows you to forward webhooks to multiple services or local servers with minimal setup.

8. n8n

n8n is an open-source workflow automation tool that allows you to receive and forward webhooks. It offers a more customizable and flexible platform compared to cloud-only solutions like Zapier and IFTTT.

Key Features:

• Open-source, self-hostable platform
• Build complex automation workflows
• Integrates with numerous services and custom APIs

How It Helps: n8n is a good fit for teams or developers who prefer open-source solutions and want the flexibility to build more complex workflows for managing and forwarding Bevy webhooks.

Building a Custom Webhook Forwarder in Python

If cloud-based tools don’t meet your requirements, or you prefer full control over your solution, you can create a custom webhook forwarder using Python. This approach allows you to receive webhooks from Bevy and forward the payload to multiple endpoints, while also enabling more advanced customization and features.

How It Works

1. Set up a Flask server to receive webhooks from Bevy.
2. Parse the incoming payload to extract and handle the data.
3. Forward the payload to multiple target endpoints using Python’s requests library.
4. (Optional) Add custom features such as logging, error handling, and retries.

Sample Python Code

from flask import Flask, request, jsonify
import requests

app = Flask(__name__)

# List of target URLs to forward the Bevy webhook to
TARGET_URLS = [
    "https://target1.example.com/webhook",
    "https://target2.example.com/webhook",
    "https://target3.example.com/webhook"
]

@app.route('/webhook', methods=['POST'])
def receive_webhook():
    # Get the payload from the Bevy webhook. 
    # You can check the secret header for extra security
    payload = request.json

    # Optionally, log or inspect the payload
    print(f"Received Bevy webhook: {payload}")

    # Forward the payload to all target URLs
    responses = []
    for url in TARGET_URLS:
        try:
            # Forward the payload using an HTTP POST request
            response = requests.post(url, json=payload)
            responses.append({
                'url': url,
                'status_code': response.status_code,
                'response_text': response.text
            })
        except Exception as e:
            # Handle errors during forwarding
            responses.append({
                'url': url,
                'error': str(e)
            })

    # Return a summary of the forwarding results
    return jsonify({
        'status': 'forwarded',
        'results': responses
    })

if __name__ == '__main__':
    # Run the Flask app on port 5000
    app.run(port=5000)

Why Build a Custom Python Solution?

• Full Control: You have complete control over the forwarding process, allowing for complex business logic.
• Customization: Modify the payload, add logging, handle errors, or introduce retries—whatever your specific needs are.
• Cost-Effective: Depending on your use case, a custom solution may be more affordable in the long term than paying for cloud-based services.

Potential Enhancements:

• Concurrency: Use asyncio or multi-threading to forward webhooks concurrently for better performance.
• Security: Implement authentication to verify the legitimacy of incoming Bevy webhooks.
• Logging and Monitoring: Integrate logging and monitoring tools to track webhook events and ensure delivery.