Integrate the Clockwork Recruiting API with the Python API

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

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Popular Ways to Connect Clockwork Recruiting with Python#

Run Python Code with Python API on New Candidate Status Change (Instant) from Clockwork Recruiting API

Clockwork Recruiting + Python

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Popular Clockwork Recruiting and Python Triggers#

New Candidate Status Change (Instant) from the Clockwork Recruiting API

Emit new event when a candidate status is changed.

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Popular Clockwork Recruiting and Python Actions#

Add Linkedin URL with the Clockwork Recruiting API

Add a linkedin URL to a specific person. 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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Add Person Address with the Clockwork Recruiting API

Create an address to a specific person. See the documentation

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Add Person Email with the Clockwork Recruiting API

Create an email address to a specific person. See the documentation

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Add Person Tag with the Clockwork Recruiting API

Add a tag to a specific person. See the documentation

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Overview of Clockwork Recruiting#

The Clockwork Recruiting API offers a suite of features tailored for executive search firms and in-house recruiting teams, enabling users to manage candidates, clients, and search projects with ease. By integrating this API with Pipedream, you can automate the recruitment process, sync data between various platforms, and streamline candidate engagement and tracking. Pipedream's serverless platform facilitates the creation of custom workflows using the Clockwork Recruiting API to optimize recruitment operations without manual intervention.

Connect Clockwork Recruiting#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clockwork_recruiting: {
      type: "app",
      app: "clockwork_recruiting",
    }
  },
  async run({steps, $}) {
    const auth_hash = Buffer.from(`${this.clockwork_recruiting.$auth.api_key}:${this.clockwork_recruiting.$auth.api_secret}`).toString('base64')
    return await axios($, {
      url: `https://api.clockworkrecruiting.com/v3.0/glagnor/people`,
      headers: {
        "Authorization": `Token ${auth_hash}`,
        "X-API-Key": `${this.clockwork_recruiting.$auth.firm_service_key}`,
      },
    })
  },
})

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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