Connect Data from Twitter to Domo

You can get your Twitter data into Domo 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 Domo. Our Twitter to Domo 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 Domo 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.

Domo is an excellent business intelligence tool and provides you with the widest data set as well as connector support. Domo delivers a unique and fantastic set of social collaboration features too. Domo is a powerful and reliable cloud-based platform which connects to over 500 data sources and provides you with more than 300 valuable interactive charts and dashboards along with native apps for mobile platforms. The BI tool was created in order to help businesses find viable and effective solutions to some of the most pervasive and complex business challenges.

Extracting data

Before loading your data into Domo, 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

You can leverage the power of Domo’s data pipeline with the incredible flexibility of the DataSet API import capability. Domo is a great platform that allows you to quickly and easily store, aggregate, transform, and query data. Hence, with Domo, your data can easily provide power rich and insightful visualizations.

You must first have your DataSet created in order to import data. To load your data in CSV format, keep in mind that the Domo specification used to represent data grids in the CSV format often closely follows the popular RFC standard for CSV (known as RFC-4180).

Domo extends the RFC in the following two ways:

  • Optionally using line feeds without a carriage return as the row separator
  • Support of various unicode characters

Also, note that all data uploaded in this specific format has to comply fully with a schema that’s supplied separately from the upload. The CSV, for example, has to comply with the field types and the correct number of columns. When creating your new DataSet through the API, store your DataSet's dataset ID, or you can simply retrieve the preferred dataset ID via the DataSet API.

With your dataset ID, it is vital to choose an appropriate update method when you are importing data through the API. You have two choices. You can either APPEND or REPLACE the data which currently exists in your DataSet. Note that if you choose APPEND, it will incrementally create new data rows to your dataset as they’re imported via the API.

On the other hand, REPLACE will remove your existing data and then refresh your DataSet with all of the data from your last import through the API. Once you have chosen the kind of update Method for the data that you plan to import, you will have to use your dataset ID to make the request. Domo will then return a response of either success or failure for the outcome of data being loaded into DataSet.

Domo is an amazing tool as it eliminates the guesswork from your advertising campaigns. It provides you with crucial insights into all your ad campaigns. You can create a customized and helpful dashboard with the most important and relevant KPIs, schedule a number of automatic reports, or even set up alerts for certain metrics.

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 Domo 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 Domo.