Connect Data from Twitter to Google Data Studio

You can get your Twitter data into Google Data Studio to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Twitter and then analyze it in Google Data Studio. Our Twitter to Google Data Studio connector allows you to access your Twitter data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Twitter with Google Data Studio to turn your Twitter data into actionable insights.

Twitter is a popular online social networking as well as news service. It enables users to read, post and send short messages (140 characters in length) called "tweets". People frequently post Tweets, which can contain photographs, links, videos, and text. Note that these messages are posted to your Twitter profile, sent to your Twitter followers, and are also easily searchable on Twitter search. Although registered users can both read and post tweets, unregistered users only have access to read.

Twitter allows its users access through the website interface, the mobile app, and SMS. Twitter also allows marketers and business brands to advertise on its incredibly popular platform. You can capture data about popular retweets, content, social shares and a lot more for advanced analytics.

Google Data Studio is an incredible dashboard creating platform and is free. Google Data Studio will help you convert your raw data into customized dashboards and valuable reports without any coding knowledge. The platform provides various prebuilt connectors to multiple database sources, Google products like AdWords and Google Analytics, and CSV files. You can use Google Data Studio for reporting on Facebook ad campaigns.

Extracting data

Before loading your data into Google Data Studio, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them.

Twitter's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes. Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.

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Preparing data

Note that Twitter makes its data available to its users through its Standard search API. This API offers data on several things, such as ad insights, estimated positions, estimated bids, and many other types of data.

Loading data

To visualize all your data in a report, you have to first connect to the underlying data source. This could be data present in a social media or an advertising platform, like Facebook Ads, a MySQL database, a CSV file, or a Google Sheets spreadsheet, etc.

You require only two things for this:

  • A Google account, and
  • Data

Note that Google Data Studio can easily use data from many sources, such as:

  • BigQuery
  • Attribution 360
  • Campaign Manager, and
  • Cloud Spanner

Once you have signed into your Google account, just go to Google Data Studio. Now click on the + button linked to the Blank new report. Click on CREATE NEW DATA SOURCE in the resulting window at the bottom right corner. Then you will have to select your data source. To do this, click on the CONNECT button located in the right corner at the top.

Customize the data that you want to use in the new window, and, when you are done, click on ADD TO REPORT. Click on the ADD TO REPORT button when you receive a prompt in the pop-up. Now your data will be available in the report.

Now as all your data is available on the report, you have to simply add elements to make use of and analyze the data.

You may choose any number of elements, such as:

  • Bar chart
  • Time series
  • Combo chart
  • Table
  • Pie chart
  • Geo map

You can add an element by clicking Insert (present in the Menu toolbar) and then choose the type you would like.

Keeping data up to date

The key is building your script so that it can sense incremental updates made to the data. Thankfully, Twitter’s Standard search API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears.

The Easiest And Fastest Way To Do It

If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done!

Thankfully, products like Improvado were developed to move data from Twitter to Google Data Studio automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Google Data Studio.