Integrate the Cults API with the Python API

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

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Popular Cults and Python Actions#

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 Cults#

Cults is a digital marketplace for 3D printing models. The Cults API allows you to interact with their platform programmatically. With the API, you can retrieve model data, search for designs, or get information about designers and makes. By leveraging Pipedream, you can automate workflows that react to new model uploads, filter searches, or integrate with other services like social media or notification systems. Pipedream's serverless platform provides an event-driven approach to execute code in response to Cults API events and connect to hundreds of other services with minimal setup.

Connect Cults#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cults: {
      type: "app",
      app: "cults",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{creations(limit:1){name url creator{nick}}}`,
    }
    return await axios($, {
      method: "post",
      url: `https://cults3d.com/graphql`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.cults.$auth.username}`,
        password: `${this.cults.$auth.api_key}`,
      },
      data,
    })
  },
})

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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