Blue

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Integrate the Blue API with the Python API

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

The Blue API enables developers to access a range of services provided by Blue, such as managing customer accounts, processing payments, and handling other financial transactions. Leveraging this API within Pipedream allows you to create powerful, serverless workflows that automate these financial operations, integrate with other apps, and react to events all in real-time. This can lead to significant time savings and efficiency improvements in financial processes.

Connect Blue

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blue: {
      type: "app",
      app: "blue",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `query Stats{
      stats{
        companies
        projects
        todos
        users
      }
    }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.blue.cc/graphql`,
      headers: {
        "X-Bloo-Token-Secret": `${this.blue.$auth.secret}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}