Integrate the Backblaze API with the Python API

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

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Popular Backblaze and Python Actions#

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 Backblaze#

The Backblaze API offers robust capabilities for managing data storage and backup solutions on the cloud. Via Pipedream, you can tap into this API to automate tasks like file uploads, data backups, and management of storage buckets. Utilizing Pipedream’s serverless platform, developers can create event-driven workflows to connect Backblaze with other apps, trigger actions based on specific conditions, and streamline operations without manual intervention.

Connect Backblaze#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    backblaze: {
      type: "app",
      app: "backblaze",
    }
  },
  async run({steps, $}) {
    const data = {
      "accountId": `${this.backblaze.$auth.account_id}`,
    }
    return await axios($, {
      method: "post",
      url: `${this.backblaze.$auth.api_url}/b2api/v3/b2_list_buckets`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.backblaze.$auth.oauth_access_token}`,
      },
      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#

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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