Ortto

The unified customer journey platform for online business. Customer journeys made remarkable.

Integrate the Ortto API with the Python API

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

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.

 
Try it

Overview of Ortto

The Ortto API unleashes the power to streamline customer relationship management by automating personalized customer journeys, tracking user actions, and integrating with a variety of services to enhance marketing and sales strategies. With Ortto on Pipedream, you can create intricate workflows that respond dynamically to customer interactions, update CRM records, send targeted communications, and much more, building a rich, automated system that nurtures leads and cultivates customer loyalty.

Connect Ortto

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ortto: {
      type: "app",
      app: "ortto",
    }
  },
  async run({steps, $}) {
    const data = {
      "q": ``,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.ortto.$auth.region}/v1/person/get`,
      headers: {
        "X-Api-Key": `${this.ortto.$auth.api_key}`,
        "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

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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}}