Integrate the Tubular API with the Python API

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

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Popular Tubular 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 Tubular#

The Tubular API furnishes you with the tools to craft intricate customer relationship management workflows within Pipedream. Utilize it to automate processes, track sales pipeline progress, manage contacts, and gain insights from your sales data. With Tubular's API, you can seamlessly integrate sales data into other systems, establish notifications for sales updates, and much more, making it simpler for teams to collaborate and stay informed on sales activities.

Connect Tubular#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tubular: {
      type: "app",
      app: "tubular",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{viewer{id fullName}}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.tubular.io/graphql`,
      headers: {
        "Authorization": `${this.tubular.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
      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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