Integrate the Customer.io API with the Python API

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

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Popular Customer.io and Python Actions#

Add Customers to Segment with the Customer.io API

Add people to a manual segment by ID. You are limited to 1000 customer IDs per request. See the docs here

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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 or Update Customer with the Customer.io API

Creates or update a customer. See the docs here

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Send Event To with the Customer.io API

Sends an event to Customer.io. See the docs here

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Send Event To Customer io with the Customer.io API

Sends, tracks a customer event to Customer io. See the docs here

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Overview of Customer.io#

Customer.io is a versatile automation tool that allows you to harness the power of email, SMS, and push notifications to create personalized customer experiences. With its comprehensive API, Customer.io enables you to track customer interactions, segment audiences, and trigger targeted communications based on user behavior and data. By leveraging Pipedream, you can easily connect Customer.io to various other services and APIs to automate complex workflows, synthesize data, and respond to events in real-time.

Connect Customer.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    customer_io: {
      type: "app",
      app: "customer_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://track.customer.io/api/v1/accounts/region`,
      auth: {
        username: `${this.customer_io.$auth.site_id}`,
        password: `${this.customer_io.$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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