AdRoll

Online advertising

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.

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 AdRoll

With AdRoll, you can build a variety of targeted ads and retargeting campaigns
to reach your ideal customers. You can reach new audiences with our powerful
targeting options, and then retarget them with personalized ads to close the
sale.

Here are some examples of what you can build with AdRoll:

  • Targeted ads: reach new audiences with our powerful targeting options
  • Retargeting campaigns: reach your ideal customers with personalized ads
  • Conversion tracking: track the effectiveness of your campaigns and optimize
    accordingly
  • Dynamic creatives: create personalized ads for each user for maximum impact
  • A/B testing: test different versions of your ads to see what works best

Connect AdRoll

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}