Integrate the Blazemeter API with the Python API

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

Popular Blazemeter and Python Actions#

Create Project with the Blazemeter API

Creates a new project in a specific workspace. 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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List Projects with the Blazemeter API

List projects from a specified workspace in BlazeMeter. See the documentation

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List Workspaces with the Blazemeter API

List all workspaces associated with the specified account. See the documentation

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Overview of Blazemeter#

The BlazeMeter API allows you to automate performance testing by integrating with Pipedream's serverless platform. You can trigger tests, fetch test results, and manage your testing environment programmatically. With Pipedream, connecting BlazeMeter with other apps and services streamlines performance data analysis and alerts, enhancing continuous integration and deployment (CI/CD) pipelines.

Connect Blazemeter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blazemeter: {
      type: "app",
      app: "blazemeter",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://a.blazemeter.com/api/v4/user`,
      auth: {
        username: `${this.blazemeter.$auth.api_key}`,
        password: `${this.blazemeter.$auth.api_secret}`,
      },
    })
  },
})

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}}