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Visualize any data and integrate the visuals into the apps you use every day with Power BI, a unified platform for self-service and business intelligence.

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HTTP / Webhook

Integrate the Microsoft Power BI API with the HTTP / Webhook API

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

Popular Ways to Connect Microsoft Power BI with HTTP / Webhook

Add Rows to Dataset Table with Microsoft Power BI API on New Requests from HTTP / Webhook API
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Cancel Dataset Refresh with Microsoft Power BI API on New Requests from HTTP / Webhook API
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Create Dataset with Microsoft Power BI API on New Requests from HTTP / Webhook API
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Get Dataset Refresh with Microsoft Power BI API on New Requests from HTTP / Webhook API
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Refresh Dataset with Microsoft Power BI API on New Requests from HTTP / Webhook API
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Popular Microsoft Power BI and HTTP / Webhook Triggers

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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Dataset Refresh Completed from the Microsoft Power BI API

Emits a new event when a dataset refresh operation has completed. See the documentation

 
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Dataset Refresh Failed from the Microsoft Power BI API

Emits an event when a dataset refresh operation has failed in Power BI. See the documentation

 
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New Dataset Refresh Created from the Microsoft Power BI API

Emit new event when a new dataset refresh operation is created. See the documentation

 
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Popular Microsoft Power BI and HTTP / Webhook Actions

Add Rows to Dataset Table with the Microsoft Power BI API

Adds new data rows to the specified table within the specified dataset from My workspace. See the documentation

 
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Cancel Dataset Refresh with the Microsoft Power BI API

Cancels a refresh operation for a specified dataset in Power BI. See the documentation

 
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Create Dataset with the Microsoft Power BI API

Creates a new Push Dataset in Power BI. 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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Overview of Microsoft Power BI

The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.

Connect Microsoft Power BI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_power_bi: {
      type: "app",
      app: "microsoft_power_bi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.powerbi.com/v1.0/myorg/availableFeatures`,
      headers: {
        Authorization: `Bearer ${this.microsoft_power_bi.$auth.oauth_access_token}`,
      },
    })
  },
})

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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