Automating Workflow with OpenClaw and Zapier/Make

If you’re using OpenClaw to automate tasks and find yourself manually copying output or triggering subsequent actions, you’re missing out on a massive productivity boost. The real power of OpenClaw isn’t just in its ability to generate high-quality text, code, or data; it’s in how you integrate that output into your broader workflows. This note covers how to connect OpenClaw with Zapier or Make (formerly Integromat) to create fully automated pipelines, moving beyond one-off script executions to continuous, event-driven processes. We’ll focus on leveraging OpenClaw’s HTTP API and webhooks to bridge the gap between your local OpenClaw instance and cloud-based automation platforms.

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Understanding the OpenClaw HTTP API for Webhooks

OpenClaw, by default, runs its HTTP API on localhost:8000. While this is great for local scripts and the UI, Zapier or Make can’t directly reach it. The first crucial step is to expose your OpenClaw API to the internet securely. I strongly recommend using a reverse proxy like Nginx or Caddy, coupled with a proper domain and SSL certificate. For a Hetzner VPS, this is straightforward. Assuming you have a domain like openclaw.yourdomain.com pointing to your VPS IP:

# Caddyfile example (simplest for a single domain)
openclaw.yourdomain.com {
    reverse_proxy localhost:8000
    tls your-email@example.com
}

Place this in /etc/caddy/Caddyfile and ensure Caddy is running (sudo systemctl reload caddy). This exposes your OpenClaw API securely over HTTPS. Remember to open port 443 (HTTPS) in your firewall (e.g., UFW: sudo ufw allow https).

Now, OpenClaw needs to be configured to accept external requests and, critically, to allow its output to be consumed programmatically. The core of this integration lies in the /generate endpoint. You’ll typically send a POST request with your prompt and model parameters, and OpenClaw will return the generated content. For webhooks, we need a way to tell OpenClaw *where* to send its result once generation is complete, rather than just returning it to the initial request.

OpenClaw’s configuration file, .openclaw/config.json, has a powerful but often overlooked feature for this: the webhook_url and webhook_headers parameters within a specific model’s configuration. This is where the magic happens. Instead of making an API call and waiting for a response, you can trigger a generation and OpenClaw will then call your specified webhook URL with the result. This is asynchronous and perfect for long-running generations.

Setting Up OpenClaw for Webhook Triggers

Let’s say you want to use the claude-haiku-4-5 model (which, incidentally, is often 10x cheaper than larger models like claude-opus-3-5 for 90% of tasks, and still provides excellent quality for summarization or data extraction). Modify your ~/.openclaw/config.json like so:

{
  "models": {
    "claude-haiku-4-5": {
      "provider": "anthropic",
      "model": "claude-3-haiku-20240307",
      "api_key_env": "ANTHROPIC_API_KEY",
      "max_tokens": 4000,
      "temperature": 0.7,
      "webhook_url": "YOUR_ZAPIER_OR_MAKE_WEBHOOK_URL",
      "webhook_headers": {
        "X-Custom-Header": "OpenClaw-Trigger"
      }
    },
    // ... other models
  },
  "http_api_host": "0.0.0.0", // Allow external connections
  "http_api_port": 8000
}

The crucial line here is "http_api_host": "0.0.0.0". This allows OpenClaw to listen on all network interfaces, making it accessible via your reverse proxy. Without this, it will only listen on localhost. Restart OpenClaw after this change (e.g., sudo systemctl restart openclaw if running as a service).

The webhook_url will be provided by Zapier or Make. When OpenClaw finishes generating content using this specific model, it will send a POST request to that URL, including the generated text, the original prompt, and other metadata. This is a non-obvious insight: many users think the HTTP API is only for direct request/response. Leveraging the model-specific webhook_url is the key to asynchronous automation.

Integrating with Zapier or Make

Both Zapier and Make have a “Webhook” trigger. In Zapier, it’s “Catch Hook”; in Make, it’s “Custom Webhook.”

Zapier Example:

1. Create a new Zap.
2. Choose “Webhooks by Zapier” as the trigger.
3. Select “Catch Hook” as the event.
4. Zapier will give you a custom URL (e.g., https://hooks.zapier.com/hooks/catch/1234567/abcdefg/). Copy this.
5. Paste this URL into your .openclaw/config.json as the webhook_url for your chosen model.
6. To test, make a POST request to your exposed OpenClaw API (e.g., https://openclaw.yourdomain.com/generate) with a simple prompt, specifying the model configured with the webhook URL:

curl -X POST -H "Content-Type: application/json" \
     -d '{
           "model": "claude-haiku-4-5",
           "prompt": "Summarize the key points of the OpenClaw webhook integration for Zapier."
         }' \
     https://openclaw.yourdomain.com/generate

Once OpenClaw processes this, it will send the result to your Zapier webhook. Go back to Zapier, and it should show “Test trigger” with the data received. You’ll see fields like generated_text, prompt, etc. From there, you can add actions like sending an email, updating a Google Sheet, posting to Slack, or calling another API.

Make Example:

1. Create a new Scenario.
2. Add a module: “Webhooks” -> “Custom webhook.”
3. Click “Add a hook,” give it a name, and Save. Make will provide a URL. Copy this.
4. Paste this URL into your .openclaw/config.json as the webhook_url.
5. Perform the same curl test as above to trigger OpenClaw.
6. Make will “listen” for the incoming data. Once received, it will automatically parse the payload, allowing you to map fields like generated_text to subsequent modules (e.g., “Google Docs” -> “Create a Document from a Template”).

The key here is that OpenClaw’s API response to the initial /generate request will simply be an acknowledgment that the job was queued. The actual generated content is delivered asynchronously to your Zapier/Make webhook. This design pattern is crucial for long-running generative AI tasks, preventing timeouts on the client side.

Limitations and Non-Obvious Insights

This webhook integration only works if your OpenClaw instance is running on a server accessible to the internet (via your reverse proxy). A local OpenClaw instance running on your desktop without port forwarding won’t be able to send webhooks to Zapier/Make. Furthermore, while OpenClaw itself is lean, running it with larger models and potentially many concurrent generations can consume significant resources. This setup is perfectly viable on a Hetzner CPX11 (2GB RAM, 2vCPU) or similar VPS. However, attempting to run this on a Raspberry Pi 4 (which some use for local OpenClaw instances) will likely struggle, especially with larger language models or multiple parallel requests, due to memory and CPU constraints during the inference process.

Another non-obvious point: always include some form of authentication or a secret in your webhook URL or headers. Zapier and Make provide options for this (e.g., a “secret” parameter in the URL for Zapier, or custom header validation in Make). While the OpenClaw webhook_headers field is there, directly adding sensitive API keys to your config.

Frequently Asked Questions