Integrate the Jibble API with the Python API

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

Popular Jibble and Python Actions#

Clock In with the Jibble API

Create a new clock in time entry 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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Clock Out with the Jibble API

Create a new clock out time entry See the documentation.

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Create Time Tracking Report with the Jibble API

This is generic endpoint for getting time tracking reports. See the documentation.

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Create Timesheets Daily Summary with the Jibble API

Gets daily timsheets summary for given date range and given persons. May omit personIds parameters in query so it will return data for all member of the organization. See the documentation.

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Overview of Jibble#

The Jibble API provides programmatic access to Jibble's time and attendance tracking features, allowing you to manage team timesheets, attendance, and work reports. Integrating the Jibble API with Pipedream opens up possibilities for automating routine tasks, syncing data across platforms, and triggering actions based on time tracking events. You can create workflows that respond to specific triggers like clock-ins and clock-outs, or schedule regular data syncs to maintain up-to-date records in other systems.

Connect Jibble#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jibble: {
      type: "app",
      app: "jibble",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://workspace.prod.jibble.io/v1/People`,
      headers: {
        Authorization: `Bearer ${this.jibble.$auth.oauth_access_token}`,
        "Content-Type": `application/json; charset=UTF-8`,
      },
    })
  },
})

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}}