Integrate the Recruitis API with the Python API

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

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Popular Recruitis and Python Actions#

Create Answer with the Recruitis API

Create a new answer for a job. 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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Create Candidate with the Recruitis API

Create a new candidate. See the documentation

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Create Job with the Recruitis API

Creates a new job ad and puts it in classifieds. See the documentation

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Get Jobs with the Recruitis API

Get jobs from recruitis profile. See the documentation

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Overview of Recruitis#

The Recruitis API is a tool designed to streamline the recruitment process by allowing developers to automate and integrate different parts of the recruitment workflow. Using Pipedream, you could leverage the Recruitis API to create custom serverless workflows, connecting various apps and services to automate tasks such as candidate screening, interview scheduling, feedback collection, and more. Pipedream’s capability to trigger workflows on specific events, and to connect with numerous other apps, makes it particularly suited for enhancing the efficiency of recruitment processes with the Recruitis API.

Connect Recruitis#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    recruitis: {
      type: "app",
      app: "recruitis",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.recruitis.io/api2/me`,
      headers: {
        Authorization: `Bearer ${this.recruitis.$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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