Integrate the Fireberry API with the Python API

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

Popular Fireberry and Python Actions#

Create Account with the Fireberry API

Creates a new account in Fireberry. See the documentation

Try it

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

Create an Article with the Fireberry API

Creates a new article in Fireberry. See the documentation

Try it

List Accounts with the Fireberry API

List all accounts in Fireberry. See the documentation

Try it

List Articles with the Fireberry API

List all articles from Fireberry. See the documentation

Try it

Overview of Fireberry#

The Fireberry API enables users to interact with Fireberry's suite of services programmatically. With its API, you can automate tasks related to their offerings. In Pipedream, you could leverage this API to create serverless workflows that respond to various triggers (like HTTP requests, emails, or schedule timings) and integrate with other apps to extend Fireberry's functionality.

Connect Fireberry#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fireberry: {
      type: "app",
      app: "fireberry",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.fireberry.com/api/record/crmuser`,
      headers: {
        "accept": `application/json`,
        "tokenid": `${this.fireberry.$auth.api_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#

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}}