{"id":110808,"date":"2017-04-21T10:00:01","date_gmt":"2017-04-21T17:00:01","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/power-platform\/blog\/power-automate\/using-flow-and-power-bi-to-track-social-listening-through-twitter\/"},"modified":"2025-06-11T08:14:33","modified_gmt":"2025-06-11T15:14:33","slug":"using-flow-and-power-bi-to-track-social-listening-through-twitter","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/power-platform\/blog\/power-automate\/using-flow-and-power-bi-to-track-social-listening-through-twitter\/","title":{"rendered":"Using Flow and Power BI to track social listening through Twitter"},"content":{"rendered":"

My favorite solution template for Power BI is the\u00a0Campaign\/Brand Management for Twitter<\/a>\u00a0template that does an amazing job of analyzing your social presence through Azure Logic Apps, Machine Learning and SQL Azure<\/p>\n

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For most my scenarios the solution template was overkill though,\u00a0and Flow provides a much lighter weight way of analyzing your social listening.<\/p>\n

Specifically using Flow to trigger an activity based on a specific keyword and inserting the twitter data into a Power BI dataset.<\/p>\n

This post will walk you through the directions to create exactly that. The first thing needed is to create the PowerBI Dataset to receive the twitter data.<\/p>\n

To Create a Power BI Streaming Dataset<\/h2>\n

1. Open\u00a0PowerBI.com<\/a>\u00a0Select Datasets, choose streaming datasets and select \u201cAdd streaming dataset\u201d<\/p>\n

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2. In this example we will be using the API based Datasets<\/p>\n

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3. The next step is to define a data set that matches the data the Twitter activities is retrieving. For better or worse real time streaming datasets only allow three datatypes:<\/p>\n