Integrate the ChartHop API with the Python API

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

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Popular Ways to Connect ChartHop with Python#

Run Python Code with Python API on New Employee Created from ChartHop API

ChartHop + Python

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Run Python Code with Python API on New Group Created from ChartHop API

ChartHop + Python

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Run Python Code with Python API on New Job Created from ChartHop API

ChartHop + Python

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Popular ChartHop and Python Triggers#

New Employee Created from the ChartHop API

Emit new event when a new employee is added to the organization. See the documentation

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New Group Created from the ChartHop API

Emit new event when a new group is added to the organization. See the documentation

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New Job Created from the ChartHop API

Emit new event when a new job is added to the organization. See the documentation

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Popular ChartHop and Python Actions#

Create Employee with the ChartHop API

Adds a new employee to the system. 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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Search Organization with the ChartHop API

Return people, job, group, and field data for a particular org that match a provided search string. See the documentation

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Update Employee Details with the ChartHop API

Updates an existing employee's details. See the documentation

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Connect ChartHop#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    charthop: {
      type: "app",
      app: "charthop",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.charthop.com/v1/user/me`,
      headers: {
        Authorization: `Bearer ${this.charthop.$auth.api_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#

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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