Oyster

Automated Global Employment Platform

Integrate the Oyster API with the Python API

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

Run Python Code with Python API on New Engagement from Oyster API
Oyster + Python
 
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Run Python Code with Python API on New Expense from Oyster API
Oyster + Python
 
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Run Python Code with Python API on New Time Off Request from Oyster API
Oyster + Python
 
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New Engagement from the Oyster API

Emit new event when a new engagement is added. See the documentation

 
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New Expense from the Oyster API

Emit new event when a new expense is created in Oyster. See the documentation

 
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New Time Off Request from the Oyster API

Emit new event when a new time off request is made. 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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Overview of Oyster

The Oyster API allows you to streamline your global employment processes by providing programmatic access to their HR platform. With it, you can automate tasks like managing employee details, handling payroll, and tracking time off. Pipedream, as a serverless integration platform, makes it simple to create workflows that connect the Oyster API with hundreds of other apps. This can help in automating HR operations, syncing employee data across systems, or even sending notifications when certain HR events occur.

Connect Oyster

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

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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}}