BugHerd

BugHerd is a visual feedback tool. With the help of the BugHerd browser extension, you can collect website feedback and track bugs directly on a page. It’s like using sticky-notes on a website!

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.

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 BugHerd

With the BugHerd API, you can build a variety of applications and integrations
to help streamline your workflow. Here are some examples of what you can build:

  • A tool to automatically generate bug reports based on user feedback
  • A plugin to integrate BugHerd with your existing bug tracking system
  • A custom dashboard to track your team's progress on fixing bugs
  • A script to automatically assign tasks to team members based on their skills
    and availability

Connect BugHerd

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}