The final result, if there is data, will be display on the screen in you can save it as a file or even consume it from an external service to include this data in another data process.In this article we are going to show.
You how to extract data from
Search Console using the API using the Python programming language, but instead of doing it with a small script, we are going to show you a structur way of doing it using Cloud Functions and a small template that will help you build all kinds of projects in record time.
What do we know about Cloud Functions?
2. Our first function with Cloud Functions.
3. What do we ne to extract twitter data data from Search Console?
4. How to extract data from Search Console. File structure.
Software dependencies
The code for our Search Console data extractor
One of the key points in everything we do on a daily basis within digital analytics at IKAUE is the extraction, transformation and loading the cash cow sector includes products or services of data (known in English as ETL , for Extract, Transform and Load ). Huge amounts of data from different sources that help us build all kinds of visualization boards with their graphics and that allow us to discover new focuses of analysis or measure the impact of certain actions at a business level.
One of these data sources is Search
Console , which (as stat on its product page) is a free service (with a twist) that provides information on how Google crawls, indexes, and publishes our website .
This information, in addition
To being display in a fairly clear and functional interface. A can be extract in two different ways: through an automatic export that can be configur and that. S requires (in this case) a Google Cloud project (with costs relat to data. F storage in tg data BigQuery, this being the nuance I referr to earlier) and through the API that Google makes available to us.