BigMailer

Email Marketing platform for agencies and makers - unlimited brands/users, all email campaign types, support when you need it.

Integrate the BigMailer API with the Python API

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

Run Python Code with Python API on New Contact Created from BigMailer API
BigMailer + Python
 
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New Contact Created from the BigMailer API

Emit new event when a new contact is created.

 
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Add or Update Contact with the BigMailer API

Creates or updates a contact within a brand. See the documentation

 
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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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Send Transactional Email with the BigMailer API

Sends an email as part of a transactional campaign. See the documentation

 
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Overview of BigMailer

The BigMailer API enables you to automate your email marketing by interacting with your BigMailer account programmatically. On Pipedream, you can leverage this API to create workflows that respond to events, manage contacts, campaigns, and analyze the effectiveness of your email strategies. By connecting BigMailer to other apps on Pipedream, you can orchestrate complex automations and streamline your email operations.

Connect BigMailer

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigmailer: {
      type: "app",
      app: "bigmailer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bigmailer.io/v1/me`,
      headers: {
        "Accept": `application/json`,
        "X-API-Key": `${this.bigmailer.$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

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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}}