Integrate the Jobber (Developer App) API with the Python API

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

Popular Jobber (Developer App) and Python Actions#

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 Jobber (Developer App)#

The Jobber (Developer App) API enables the automation of tasks within Jobber, a platform designed for home service businesses. It allows for the management and syncing of client information, job scheduling, invoicing, and more through programmatic means. On Pipedream, you can leverage this API to create serverless workflows that integrate Jobber with other apps and services, streamlining operations and improving efficiency.

Connect Jobber (Developer App)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jobber_developer_app: {
      type: "app",
      app: "jobber_developer_app",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `query SampleQuery { 
      user(id: null){
        id
        email {
          raw
        }
      }
    }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.getjobber.com/api/graphql`,
      headers: {
        Authorization: `Bearer ${this.jobber_developer_app.$auth.oauth_access_token}`,
        "X-JOBBER-GRAPHQL-VERSION": `2023-11-15`,
        "Content-Type": `application/json`,
      },
      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}}