Integrate the Beebole API with the Python API

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

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Popular Beebole and Python Actions#

List Companies with the Beebole API

List all companies in your Beebole account. See the documentation

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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.

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List untimed employees with the Beebole API

Get a list of employees without any time entry for a given period of time

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Run report with the Beebole API

Run a report from Beebole

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Overview of Beebole#

The Beebole API provides a way to automate time tracking, manage projects, and handle employee data efficiently. With Pipedream, you can harness this functionality to create custom workflows that trigger on specific events, manipulate and analyze time tracking data, and integrate with other services for enhanced automation. For instance, you could sync time entries with project management tools, create reports for payroll, or set up alerts based on your team's time tracking patterns.

Connect Beebole#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    beebole_app: {
      type: "app",
      app: "beebole_app",
    }
  },
  async run({steps, $}) {
    const data = {
      "service": `company.list`,
    }
    return await axios($, {
      method: "post",
      url: `https://beebole-apps.com/api/v2`,
      auth: {
        username: `${this.beebole_app.$auth.api_token}`,
        password: `x`,
      },
      data,
    })
  },
})

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#

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}}

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