AWeber

Powerfully-Simple Email Marketing

Integrate the AWeber API with the Python API

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

Run Python Code with Python API on Subscriber Added from AWeber API
AWeber + Python
 
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Subscriber Added from the AWeber API

Emit new event when a subscriber in a list is added. See the docs here

 
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Add Subscriber with the AWeber API

Add subscribers to the specified account and list. 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 Subscriber with the AWeber API

Create subscriber if the subscriber email is not existing or update the information for the specified subscriber by email. See the docs here.

 
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Get Accounts with the AWeber API

Get a paginated collection of accounts. See the docs here.

 
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Get Lists with the AWeber API

Get a paginated collection of subscriber lists. See the docs here.

 
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Overview of AWeber

AWeber's API provides a suite of tools to automate email marketing efforts, enabling developers to manage subscribers, send emails, and track results programmatically. With the AWeber API on Pipedream, you can create custom workflows that react to various triggers and connect with other services to streamline your email campaigns, analyze performance, and enhance subscriber engagement.

Connect AWeber

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aweber: {
      type: "app",
      app: "aweber",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aweber.com/1.0/accounts`,
      headers: {
        Authorization: `Bearer ${this.aweber.$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

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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}}