Integrate the Namely API with the Python API

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

Popular Ways to Connect Namely with Python#

Run Python Code with Python API on New Created User from Namely API

Namely + Python

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Run Python Code with Python API on New Updated User from Namely API

Namely + Python

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Popular Namely and Python Triggers#

New Created User from the Namely API

Emit new event for each user created.

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New Updated User from the Namely API

Emit new event for each user updated.

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Popular Namely and Python Actions#

Create User with the Namely API

Creates a new user. See docs here

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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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Get User with the Namely API

Get a user. See docs here

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Update User with the Namely API

Updates a user. See docs here

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Overview of Namely#

Namely is a Human Resources Information System (HRIS) designed to simplify HR, payroll, benefits, and talent management. By leveraging the Namely API on Pipedream, you can automate employee data synchronization across various platforms, streamline HR operations by triggering workflows based on employee lifecycle events, and even analyze workforce data to gain insights. It's a potent tool for HR professionals looking to integrate their HR tech stack and automate repetitive tasks.

Connect Namely#

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