Integrate the Bloomerang API with the Python API

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

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Popular Ways to Connect Bloomerang with Python#

Run Python Code with Python API on New Constituent Created from Bloomerang API

Bloomerang + Python

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Run Python Code with Python API on New Donation from Bloomerang API

Bloomerang + Python

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Run Python Code with Python API on New Interaction from Bloomerang API

Bloomerang + Python

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Popular Bloomerang and Python Triggers#

New Constituent Created from the Bloomerang API

Emit new event when a new constituent profile is created in Bloomerang.

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New Donation from the Bloomerang API

Emit new event when a donation is received in Bloomerang.

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New Interaction from the Bloomerang API

Emit new event when a new interaction is logged for a constituent.

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Popular Bloomerang and Python Actions#

Add Interaction with the Bloomerang API

Adds an interaction to an existing constituent in Bloomerang. 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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Create Constituent with the Bloomerang API

Creates a new constituent in Bloomerang. See the documentation

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Create Donation with the Bloomerang API

Creates a new donation record in Bloomerang. See the documentation

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Connect Bloomerang#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bloomerang: {
      type: "app",
      app: "bloomerang",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bloomerang.co/v2/user/current`,
      headers: {
        "accept": `application/json`,
        "x-api-key": `${this.bloomerang.$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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