Blackbaud

Software solutions powering the entire social good community

Integrate the Blackbaud API with the Python API

Setup the Blackbaud API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Blackbaud 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.

 
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Overview of Blackbaud

The Blackbaud API offers programmable access to a suite of services for educational institutions, nonprofits, and foundations, focusing on fundraising, relationship management, marketing, and financial functions. Leveraging this API on Pipedream allows for automated interactions with donor records, campaign metrics, and financial data, simplifying tasks like synchronizing donor information, triggering communications based on donations, or reporting financial insights to stakeholders.

Connect Blackbaud

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blackbaud: {
      type: "app",
      app: "blackbaud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sky.blackbaud.com/webhook/v1/subscriptions`,
      headers: {
        Authorization: `Bearer ${this.blackbaud.$auth.oauth_access_token}`,
        "Bb-Api-Subscription-Key": `${this.blackbaud.$auth.bb_api_subscription_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}}