Integrate the AdRoll API with the Python API

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

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Popular AdRoll and Python Actions#

Replace Emails from CRM Audience with the AdRoll API

Replace the email list from a CRM audience in AdRoll. See 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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Overview of AdRoll#

The AdRoll API offers a suite of tools to enhance advertising efforts with targeted ad campaigns and advanced analytics. Harnessing this API within Pipedream allows you to automate interactions with AdRoll, such as synchronizing audiences, updating campaigns, and managing advertisements based on triggers from other services. By integrating AdRoll API with Pipedream, you create dynamic workflows that respond in real-time to your business data, ensuring your marketing efforts are both efficient and scalable.

Connect AdRoll#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adroll: {
      type: "app",
      app: "adroll",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://services.adroll.com/api/v1/user/get`,
      headers: {
        Authorization: `Bearer ${this.adroll.$auth.oauth_access_token}`,
      },
      params: {
        apikey: `${this.adroll.$auth.oauth_access_token}`,
      },
    })
  },
})

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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