Connect Data from Instagram to Google Data Studio

You can get your Instagram 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 Instagram and then analyze it in Google Data Studio. Our Instagram to Google Data Studio connector allows you to access your Instagram Business 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 Instagram with Google Data Studio to turn your Instagram data into actionable insights.

Instagram is a very popular and free image and video-sharing app from Facebook. With over one billion active users, Instagram is a leading social media platform. Instagram offers businesses a wide range of incredibly powerful marketing tools. The app is available on Android, Apple iOS, and Windows Phone. Instagram allows people to upload photos and videos to the service and also share them with their online followers or with a specific group of friends. You can choose from different types of ads, like photo ads, carousel ads, video ads, and stories ads. Users can also view, like, and comment on posts shared by their friends on the app. An Instagram account collects data in an Instagram API data warehouse. Companies often have to extract that valuable data for analysis in their business intelligence tools.

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. Instagram API 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.

Preparing data

You have three options for extracting data from Instagram. 1- You can retrieve data programmatically through the Instagram API. It is available to all users who use the platform. Follow the API documentation, and you will enjoy access to endpoints, like impressions, CTRs, and CPC. You can access the API through the SDKs which Instagram offers. Officially, the platforms support SDKs for PHP and Python, while there’re also a number of SDKs (community supported) for languages such as R, Ruby, and JavaScript. Data will be returned in either CSV or XLS format, and when your report is ready based on the request you may access it from a URL. 2- You can export a report that you have created and saved. 3- You can use a tool like Improvado. By leveraging Improvado, you can easily and quickly integrate, connect, and see all your Instagram data flow seamlessly into your desired visualization tool or database. Improvado does not require any technical skills to operate. You can sync your data over with just a few clicks.

Loading data

To visualize all your Instagram 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 Instagram, a MySQL database, a CSV file, or a Google Sheets spreadsheet, etc. You require only two things for this:  A Google account, and DataNote that Google Data Studio can easily use data from many sources, such as:  BigQuery Attribution 360 Campaign Manager, and Cloud SpannerOnce 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.Whether you are examining Instagram hashtag trends in order to inform future content or analyzing team performance to streamline and optimize operations, with Google Data Studio, you can do it with ease by measuring almost everything, such as follower growth and engagement across different brands, products, or locations. Customize the Instagram 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 Instagram 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 Instagram data. You may choose any number of elements, such as:• Bar chart• Time series• Combo chart• Table• Pie chart• Geo mapYou can add an element by clicking Insert (present in the Menu toolbar) and then choose the type you would like. You can start with a blank report in Google Data Studio. Simply visit the Google Data Studio homepage and then click on the blank template. You will find it at the top left. Google Data Studio will create a new report, and you can easily rename it. Next, you can add all your data sources from Facebook Ads to the report. Go to the column at the right and choose your Instagram data source. For example, you can create a useful stacked bar chart in order to show results by gender and age information. You can use the chart to understand the gender and age factors driving the most results from your ad campaigns. Note that this chart will come in handy, especially when you are reporting on various high-value actions, such as leads and purchases. This will help you determine where you should allocate your Instagram budget.

Keeping data up to date

If you've made it this far, congrats! You probably have written a program or script to extract your data and move it into Google Data Studio. Now it's time to think about how you will keep this data up-to-date by loading updated or new data. Of course, you can just replicate all your data every time you have updated your records, but that would be extremely manual and time-consuming. Luckily there is a better way. The key is building your script so that it can sense incremental updates made to the data. Thankfully, Instagram’s API results allow you to 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 Instagram to Google Data Studio automatically. Using Improvado, you can easily combine the most crucial and relevant data from your social media ad campaign into a dashboard. You can then connect this data to Google Data Studio.