How to query your monday.com data from Looker Studio

For many, the built-in monday.com reports on offer are enough for our day-to-day needs. However, if you need something a little more customized, then you’re going to have to have to build it yourself. And what better way than using the tool you’re already familiar with - Looker Studio

Ben Liebert Developer & Data Specialist LinkedIn

monday.com is a sophisticated and comprehensive cloud-based platform. For many, the built-in reports and analysis that monday.com offers is enough for our day-to-day needs. However, if you need something a little more customized, you need to aggregate your data over multiple monday.com accounts, or you need to cross-reference your monday.com data with other cloud services, then you’re going to have to build it yourself. And what better way than using the tool you’re already familiar with - Looker Studio (formerly Google Data Studio).

In this article, I’ll take you through the steps to connect Looker to your monday.com data, and get started customizing the reports you need.

First - grab your SyncHub Credentials

If you don’t already have a SyncHub account, you can grab a free trial here - go on, I’ll wait - it only takes a minute and you can cancel as soon as you’ve finished this tutorial if you like.

Ready? Now, a quick reminder - SyncHub works by staging your monday.com data in a relational database. This gives us a huge advantage over other connectors which query the monday.com API directly, but I won’t go in to them here. The point is, once you have connected your monday.com account, querying from Looker is trivial as you are just using its native SQL Server Connector.

So, once you’re connected, go to your SyncHub Dashboard and grab your new database credentials, then proceed back to this article

Reading your monday.com data from Looker Studio

We now just need to tell Looker where to find your data, and for this we use the built-in SQL Server connector - easy! Hit the Add Data button, then search for “SQL Server”:

Connection

Now, plug in the credentials which you downloaded from SyncHub earlier:

Credentials

Once authenticated, you can write a custom query to extract just the view you need. For example, this SQL grabs the top few records from your Board table:


select [ItemsCount], [Name], [WhenLastActivityLog]
from schema_monday.com_1.Board

Custom query

Keeping your data up-to-date

SyncHub updates it’s staged data from monday.com in near-realtime, so it’s always available. However, Looker offers it’s own cache which may have a different refresh setting. To adjust the freshness of your data, remember to Edit your connection and then the Data Freshness value:

Cache

Beyond monday.com

monday.com-specific reports are essential, but the true power of SyncHub comes when you augment your monday.com data with additional information:

So what are you waiting for? Grab a free trial of SyncHub here and see what you can do. In ten minutes from now, you could be reporting against your monday.com data and taking your first steps towards a data-driven business.