Connect Data from Linkedin to Metabase
You can get your LinkedIn data into Metabase to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from LinkedIn and then analyze it in Metabase. Our LinkedIn to Metabase connector allows you to access your LinkedIn 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 LinkedIn with Metabase to turn your LinkedIn data into actionable insights.
LinkedIn is an extremely popular social media network that is focused on professional relationships, employment opportunities, and business listings. LinkedIn is a great employment-oriented and corporate social networking platform that is primarily used for professional communication and networking. With this platform, employers and job seekers can easily create profiles and form strong and lasting professional connections.
The website offers recruiters and marketers the ability to advertise on its platform via paid social posts and in-mail. With over 610 million members worldwide, which include executives from most Fortune 500 companies, LinkedIn is easily the world's largest and most used professional network on the Internet.
Metabase is one of the simplest ways to get your data in front of anyone on your team. Metabase, an open-source BI tool, offers easy way to generate both charts and dashboards, see in-depth information about rows in your database and ask simple ad hoc queries without having to use SQL. Metabase installs in just a couple of minutes and can work with a variety of databases, such as MySQL, Amazon Redshift and PostgreSQL.
Lightweight, incredibly fast, and free, for people who want to visualize and query, Metabase lets its users save queries and also add their favorite visualizations to a convenient dashboard. Metabase uses machine learning for analyzing the data it collects and recommends how you can design more effective marketing campaigns.
Before loading your data into Metabase, 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.
LinkedIn'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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Note that LinkedIn makes its data available to its users through its REST API. This API offers data on several things, such as ad insights, estimated positions, estimated bids, and many other types of data.
As long as you can bring your data to Metabase, this amazing software will help you in analyzing it. You have the option to connect various data types from Facebook Ads and Google Analytics to Crate and Mongo, etc. All you have to do is simply specify parameters to connect to Metabase and data warehouse and then select the data that you want to replicate. With Improvado, you can ensure that you always have the latest data from all your cloud applications in the data warehouse. In most cases, you would like to organize your data in the warehouse a little differently than in a cloud app. You may also want to make a schema for OLAP or just have target tables for the data you have already created. If that is the case, you can use our amazing data import tools. With flexible configuration and powerful mapping settings, our import tool allows the loading of data between data sources of varying structures.
Keeping data up to date
If you've made it this far, congrats! You probably have a written a program or script to extract your data and move it into Metabase. 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, LinkedIn’s REST 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 LinkedIn to Metabase 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 Metabase.