Integrate the Taleez API with the Python API

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

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Popular Ways to Connect Taleez with Python#

Run Python Code with Python API on New Candidate Created from Taleez API

Taleez + Python

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Run Python Code with Python API on New Job Listing Created from Taleez API

Taleez + Python

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Popular Taleez and Python Triggers#

New Candidate Created from the Taleez API

Emit new event when a candidate is added in Taleez. See the documentation

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New Job Listing Created from the Taleez API

Emit new event when a job listing is created in Taleez. See the documentation

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Popular Taleez and Python Actions#

Add Candidate to Job with the Taleez API

Links an existing candidate to a job offer. 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 Taleez API

Creates a new candidate in Taleez. See the documentation

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List Jobs with the Taleez API

Retrieves a list of jobs in your company. See the documentation

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Connect Taleez#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    taleez: {
      type: "app",
      app: "taleez",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.taleez.com/0/units`,
      headers: {
        "x-taleez-api-secret": `${this.taleez.$auth.secret_key}`,
        "accept": `application/json;charset=UTF-8`,
      },
      params: {
        page: `0`,
        pageSize: `100`,
      },
    })
  },
})

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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