This page provides you with instructions on how to extract data from FormKeep and analyze it in Google Data Studio. (If the mechanics of extracting data from FormKeep seem too complex or difficult to maintain, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)
What is FormKeep?
FormKeep provides form endpoints that designers and developers can use when they don’t want to build and maintain forms themselves.
What is Google Data Studio?
Google Data Studio is a simple dashboard and reporting tool. It's free and easy to use, but it lacks the sophisticated features of higher-end reporting software. Many of the connectors it supports are for Google products, but third parties have written partner connectors to a wide variety of data sources. Its drag-and-drop report editor lets users create about 15 types of charts.
Getting data out of FormKeep
FormKeep makes its data available through webhooks, which you can set up on FormKeep's Webhooks tab. You provide a URL to send the data to and write your script to POST data to this URL as it's generated.
Preparing FormKeep data
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. FormKeep should provide documentation that tells 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. This means you'll likely have to create additional tables to capture the unpredictable cardinality in each record.
Loading data into Google Data Studio
Google Data Studio uses what it calls "connectors" to gain access to data. Data Studio comes bundled with 17 connectors, mostly to pull in data from other Google products. It also supports connectors to MySQL and PostgreSQL databases, and offers 200 connectors to other data sources built and supported by partners.
Using data in Google Data Studio
Google Data Studio provides a graphical canvas onto which users drag and drop datasets. Users can set dimensions and metrics, specify sorting and filtering, and tailor the way reports and charts are displayed.
Keeping FormKeep data up to date
Once you've set up the webhooks you want and have begun collecting data, you can relax – as long as everything continues to work correctly. You'll have to keep an eye out for any changes to FormKeep's webhooks implementation.
From FormKeep to your data warehouse: An easier solution
As mentioned earlier, the best practice for analyzing FormKeep data in Google Data Studio is to store that data inside a data warehousing platform alongside data from your other databases and third-party sources. You can find instructions for doing these extractions for leading warehouses on our sister sites FormKeep to Redshift, FormKeep to BigQuery, FormKeep to Azure Synapse Analytics, FormKeep to PostgreSQL, FormKeep to Panoply, and FormKeep to Snowflake.
Easier yet, however, is using a solution that does all that work for you. Products like Stitch were built to move data automatically, making it easy to integrate FormKeep with Google Data Studio. With just a few clicks, Stitch starts extracting your FormKeep data, structuring it in a way that's optimized for analysis, and inserting that data into a data warehouse that can be easily accessed and analyzed by Google Data Studio.