Integrate the TalentHR API with the Python API

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

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Popular Ways to Connect TalentHR with Python#

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

TalentHR + Python

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Run Python Code with Python API on New Job Application Submitted from TalentHR API

TalentHR + Python

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Popular TalentHR and Python Triggers#

New Employee Created from the TalentHR API

Emit new event whenever a new employee is created. See the documentation

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New Job Application Submitted from the TalentHR API

Emit new event when a new job application is submitted. See the documentation

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Popular TalentHR and Python Actions#

Create Employee with the TalentHR API

Hires a new employee and registers them in 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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Respond to Time Off Request with the TalentHR API

Responds to an employee's time off request. This action requires the request ID and the response status as props. See the documentation

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Update Employee with the TalentHR API

Allows updating an existing employee's data in the system. See the documentation

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Connect TalentHR#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    talenthr: {
      type: "app",
      app: "talenthr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pubapi.talenthr.io/v1/timezones`,
      auth: {
        username: `${this.talenthr.$auth.api_key}`,
        password: `c`,
      },
    })
  },
})

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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