Beekeeper

Beekeeper’s mobile platform is the single point of contact for your frontline workforce. We bring communications and tools together to increase productivity, agility, and safety.

Integrate the Beekeeper API with the Python API

Setup the Beekeeper API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Beekeeper 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 Beekeeper

The Beekeeper API enables seamless integration of its workplace communications platform with other business tools and systems, enhancing team collaboration and operational efficiency. By leveraging the Beekeeper API on Pipedream, you can automate the flow of information between Beekeeper and various applications, trigger actions based on messages or alerts, and synchronize data across your organization's tools. Pipedream's serverless architecture simplifies the process of setting up these automations without the need for dedicated infrastructure.

Connect Beekeeper

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    beekeeper: {
      type: "app",
      app: "beekeeper",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.beekeeper.$auth.subdomain}.beekeeper.io/api/2/config`,
      headers: {
        Authorization: `Bearer ${this.beekeeper.$auth.access_token}`,
      },
    })
  },
})

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