Bolt IoT

Bolt IoT platform gives you the capability to control your devices and collect data from IoT devices safely and securely no matter where you are. The Bolt IoT Platform consists of three major components: Bolt WiFi module, Bolt Cloud, Bolt Mobile App.

Integrate the Bolt IoT API with the Python API

Setup the Bolt IoT API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bolt IoT and Python remarkably fast. Free for developers.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Bolt IoT

The Bolt IoT API lets you harness the power of your Bolt IoT devices, enabling you to control and monitor them remotely through Pipedream. With Pipedream's serverless platform, you can create automated workflows that trigger on specific events, process data, and integrate with countless other services. Whether you're aiming to automate your smart home, set up alerts, or manage device data, Pipedream makes it straightforward to connect Bolt IoT with a world of apps and services for a seamless automation experience.

Connect Bolt IoT

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bolt_iot: {
      type: "app",
      app: "bolt_iot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://cloud.boltiot.com/remote/${this.bolt_iot.$auth.api_key}/getDevices`,
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo