FogBugz

FogBugz project management software helps you spend less time on managing, and more on creating your digital masterpiece. Align your team under a common purpose that allows you to plan, track and release great software.

Integrate the FogBugz API with the HTTP / Webhook API

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

Create Case with FogBugz API on New Requests from HTTP / Webhook API
HTTP / Webhook + FogBugz
 
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List Projects with FogBugz API on New Requests from HTTP / Webhook API
HTTP / Webhook + FogBugz
 
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Update Person with FogBugz API on New Requests from HTTP / Webhook API
HTTP / Webhook + FogBugz
 
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Create Case with FogBugz API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + FogBugz
 
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List Projects with FogBugz API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + FogBugz
 
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New Requests from the HTTP / Webhook API

Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

 
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New Requests (Payload Only) from the HTTP / Webhook API

Get a URL and emit the HTTP body as an event on every request

 
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New Case Event from the FogBugz API

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

 
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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.

 
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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.

 
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Create Case with the FogBugz API

Creates a new case on FogBugz. See the documentation

 
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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

 
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Send any HTTP Request with the HTTP / Webhook API

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

 
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Send GET Request with the HTTP / Webhook API

Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Send POST Request with the HTTP / Webhook API

Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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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

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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 HTTP / Webhook

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Connect HTTP / Webhook

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// To use any npm package on Pipedream, just import it
import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "GET",
      url: "https://pokeapi.co/api/v2/pokemon/charizard",
    })
    return data.species
  },
})

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