Integrate the CATS API with the Python API

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

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Popular Ways to Connect CATS with Python#

Run Python Code with Python API on New Activity (Instant) from CATS API

CATS + Python

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Run Python Code with Python API on New Candidate (Instant) from CATS API

CATS + Python

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Run Python Code with Python API on New Contact Created (Instant) from CATS API

CATS + Python

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Popular CATS and Python Triggers#

New Activity (Instant) from the CATS API

Emit new event when an activity related to a cat is created.

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New Candidate (Instant) from the CATS API

Emit new event when a new candidate is created.

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New Contact Created (Instant) from the CATS API

Emit new event when a contact related to a cat is created.

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Popular CATS and Python Actions#

Add Candidate to Job Pipeline with the CATS API

Adds a specific candidate to a job pipeline in CATS. 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 CATS API

Create a new candidate in your CATS database. See the documentation

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Create Contact with the CATS API

Adds a new contact to the CATS platform. See the documentation

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Connect CATS#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cats: {
      type: "app",
      app: "cats",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.catsone.com/v3/users`,
      headers: {
        "Authorization": `Token ${this.cats.$auth.api_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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