Integrate the FogBugz API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Ways to Connect FogBugz with Python#

Run Python Code with Python API on New Case Event from FogBugz API

FogBugz + Python

Try it

Run Python Code with Python API on New Case in Filter from FogBugz API

FogBugz + Python

Try it

Run Python Code with Python API on New Person Created from FogBugz API

FogBugz + Python

Try it

Popular FogBugz and Python Triggers#

New Case Event from the FogBugz API

Emit new event instantaneously when something significant happens to a case.

Try it

New Case in Filter from the FogBugz API

Emit new new event when there's a new case under a specified filter. Note this may not effectively work for filters that generate results too long, or filters with more than 50,000 cases, especially if your FogBugz site is running Ocelot.

Try it

New Person Created from the FogBugz API

Emit new event when a new person or a user is created in FogBugz. It effectively tracks the addition of new users in the system.

Try it

Popular FogBugz and Python Actions#

Create Case with the FogBugz API

Creates a new case on FogBugz. 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

List Projects with the FogBugz API

Gets a list of projects in FogBugz. This can be used to quickly view all projects and their details. See the documentation

Try it

Update Person with the FogBugz API

Edits an existing person in FogBugz. See the documentation

Try it

Overview of FogBugz#

The FogBugz API allows you to interact with your FogBugz software development tracking system programmatically. With this API, you can create, read, update, and delete cases; manage projects, areas, and categories; and perform searches to gather data-driven insights. Integrating FogBugz with Pipedream opens up possibilities for automating workflows, syncing data across platforms, and reacting to events within FogBugz in real-time.

Connect FogBugz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fogbugz: {
      type: "app",
      app: "fogbugz",
    }
  },
  async run({steps, $}) {
    const data = {
      "cmd": `listPeople`,
      "token": `${this.fogbugz.$auth.api_token}`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.fogbugz.$auth.your_site}.fogbugz.com/f/api/0/jsonapi`,
      headers: {
        "Content-Type": `application/json`,
      },
      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}}

Start for free — no credit card required

Watch a demo