If you’re using OpenClaw to automate parts of your development workflow and find yourself needing more than just the UI, you’ve likely hit the wall of manual intervention. OpenClaw is powerful out of the box, but its true potential for developers lies in programmatic access. This note will walk you through leveraging OpenClaw’s API, setting up webhooks for real-time notifications, and scripting your own tools to integrate OpenClaw into your existing CI/CD pipelines, monitoring systems, or custom dashboards. We’re going to make OpenClaw a silent partner in your backend, not just a browser tab.
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OpenClaw API Access: The Foundation
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The first step to scripting OpenClaw is understanding how to interact with its API. Unlike some tools that hide their API behind complex SDKs, OpenClaw provides a straightforward RESTful interface. To get started, you’ll need an API key. Navigate to your OpenClaw instance, typically at http://localhost:8080, log in, and then go to Settings > API Keys. Generate a new key and make sure to copy it immediately, as it won’t be shown again.
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Most API interactions will require this key in an Authorization header as a Bearer token. Let’s say you want to list all active claws (our term for an automated task definition). You’d use a simple GET request. Here’s a typical curl command:
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\ncurl -X GET \\\n http://localhost:8080/api/v1/claws \\\n -H 'Authorization: Bearer YOUR_API_KEY_HERE' \\\n -H 'Content-Type: application/json'\n\n\n
The response will be a JSON array of claw objects, each containing its ID, name, status, and configuration details. This is your entry point for programmatically querying the state of your OpenClaw instance. You can then use these IDs to interact with specific claws, for example, to trigger them:
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\ncurl -X POST \\\n http://localhost:8080/api/v1/claws/CLAW_ID_HERE/trigger \\\n -H 'Authorization: Bearer YOUR_API_KEY_HERE' \\\n -H 'Content-Type: application/json' \\\n -d '{}'\n\n\n
One non-obvious insight here: while the documentation might suggest creating a new claw for every single ephemeral task, it’s often more efficient for common, repetitive tasks to have a single “template” claw and simply pass different parameters via the API’s trigger endpoint using the -d '{"parameters": {"key": "value"}}' flag. This reduces the overhead of creating and deleting claws dynamically and keeps your OpenClaw instance cleaner. This approach works best for claws that perform similar actions but operate on different data points.
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Webhooks for Real-time Notifications
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Polling the API constantly for status updates is inefficient and can quickly hit rate limits on busy OpenClaw instances. This is where webhooks shine. OpenClaw allows you to configure webhooks to send HTTP POST requests to a specified URL whenever certain events occur, such as a claw completing, failing, or a new task being initiated.
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To set up a webhook, you’ll configure it directly within your OpenClaw instance. Navigate to Settings > Webhooks. Click “Add New Webhook.” You’ll need to provide:
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- URL: The endpoint your application exposes to receive the webhook payload.
- Secret (Optional): A shared secret to sign the webhook payload, allowing your application to verify the sender’s authenticity. This is crucial for security and should always be used in production environments.
- Events: A selection of events that will trigger the webhook (e.g.,
claw.completed,claw.failed,task.started).
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A common use case is integrating OpenClaw task failures with your existing monitoring and alerting stack, like PagerDuty or a custom Slack integration. Instead of writing a script that periodically checks the status of all claws, your webhook endpoint will receive an immediate notification with all the relevant details (claw ID, task ID, error message, etc.) when a claw.failed event occurs. Your endpoint can then parse this JSON payload and trigger an alert. Remember that your webhook endpoint needs to return a 2xx HTTP status code quickly to acknowledge receipt; any heavy processing should be offloaded to an asynchronous queue.
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The webhook payload typically looks something like this for a claw.completed event:
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\n{\n "event": "claw.completed",\n "timestamp": "2023-10-27T10:30:00Z",\n "clawId": "clw_abcdef12345",\n "clawName": "DailyReportGenerator",\n "taskId": "tsk_ghijkl67890",\n "status": "success",\n "result": {\n "outputFile": "/reports/daily/2023-10-27.pdf",\n "recordsProcessed": 1234\n }\n}\n\n\n
The non-obvious insight here is that when developing your webhook endpoint, always log the raw incoming payload first. The exact structure and content of the result field can vary significantly depending on how your claw is configured and what it returns. Don’t assume a fixed schema for this field; design your parser to be flexible or at least gracefully handle missing keys.
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Scripting Your Own Tools
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With API access and webhooks, you have all the building blocks to script powerful custom tools. Python is an excellent choice for this, given its rich ecosystem for HTTP requests and JSON parsing. Let’s outline a simple Python script that monitors a specific claw and re-triggers it if it fails more than N times within an hour.
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\nimport requests\nimport os\nimport time\nfrom collections import deque\n\nOPENCLAW_API_URL = os.getenv("OPENCLAW_API_URL", "http://localhost:8080/api/v1")\nOPENCLAW_API_KEY = os.environ.get("OPENCLAW_API_KEY")\n\nif not OPENCLAW_API_KEY:\n raise ValueError("OPENCLAW_API_KEY environment variable not set.")\n\nHEADERS = {\n "Authorization": f"Bearer {OPENCLAW_API_KEY}",\n "Content-Type": "application/json"\n}\n\ndef get_claw_status(claw_id):\n try:\n response = requests.get(f"{OPENCLAW_API_URL}/claws/{claw_id}", headers=HEADERS)\n response.raise_for_status()\n return response.json()\n except requests.exceptions.RequestException as e:\n print(f"Error fetching status for claw {claw_id}: {e}")\n return None\n\ndef trigger_claw(claw_id):\n try:\n response = requests.post(f"{OPENCLAW_API_URL}/claws/{claw_id}/trigger", headers=HEADERS, json={})\n response.raise_for_status()\n print(f"Claw {claw_id} re-triggered successfully.")\n return response.json()\n except requests.exceptions.RequestException as e:\n print(f"Error triggering claw {claw_id}: {e}")\n return None\n\ndef main(claw_id, max_failures=3, monitor_window_seconds=3600):\n failure_timestamps = deque()\n print(f"Monitoring claw {claw_id} for failures...")\n\n while True:\n status = get_claw_status(claw_id)\n if status and status.get("status") == "failed":\n current_time = time.time()\n failure_timestamps.append(current_time)\n\n # Remove failures outside the monitoring window\n while failure_timestamps and failure_timestamps[0] < current_time - monitor_window_seconds:\n failure_timestamps.popleft()\n\n if len(failure_timestamps) >= max_failures:\n print(f"Claw {claw_id} failed {len(failure_timestamps)} times within the last hour. Triggering re-run.")\n trigger_claw(claw_id)\n # Clear failures after a re-trigger to prevent infinite loops\n failure_timestamps.clear()\n else:\n print(f"Claw {claw_id} failed. {len(failure_timestamps)} failures in window.")\n\n time.sleep(60) # Check every minute\n\nif __name__ == "__main__":\n target_claw_id = os.getenv("TARGET_CLAW_ID")\n if not target_claw_
Want to script OpenClaw with Python? See how to use the OpenClaw Python SDK for task automation →
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