Integrate the BugHerd API with the Python API

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

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Popular BugHerd 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 BugHerd#

The BugHerd API provides a streamlined interface for managing and tracking bugs and issues directly within your web projects. By leveraging this API on Pipedream, you can automate the bug tracking process, sync data with project management tools, and create custom notifications based on event triggers. Automations can range from simple task creation to complex workflows involving multiple systems, cutting down the manual effort required to keep your development projects bug-free.

Connect BugHerd#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bugherd: {
      type: "app",
      app: "bugherd",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.bugherd.com/api_v2/organization.json`,
      auth: {
        username: `${this.bugherd.$auth.api_key}`,
        password: `x`,
      },
    })
  },
})

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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