Google Data Studio is an excellent tool for creating beautiful dashboards and reports from Google Analytics data. The problem is that it only supports GA data. If you want to create a dashboard using other sources such as Facebook or Twitter, you’ll need to integrate them into GDS manually. This article explains how you can automate the integration process.
Data Studio is a free analytics reporting tool developed by Google. It allows you to easily build interactive dashboards and reports using data from various sources, including Google Analytics, Adwords, Gmail, Calendar, Contacts, Sheets, and Docs.
This tutorial explains how to connect Google Data Studio to APIs. Using this method, you can automatically import data from external services such as Facebook, Twitter, and Instagram.
Enable the API
To use the Data Studio API, you must enable it in the API Console. You will need to read and agree to the terms of service. Once enabled, you can use the API to build custom applications.
Create an OAuth Client
OAuth 2.0 is one of the most potent ways to connect apps to APIs. It’s how many developers are connecting their apps to third-party data sources today. You need to set up an application if you want to use OAuth 2.0 to access a third-party API. This guide walks you through setting up an OAuth client in Python. You’ll learn how to generate a client id and secret, add permissions to your application, and finally, authenticate requests against an external resource.
Share reports created with the Data Studio Linking API
Data Studio provides developers with tools to build powerful dashboards and visualizations. One of those tools is the Data Studio Linking feature. This tool allows developers to easily connect datasets to create custom reports. In this article, we’ll show you how to use it to create reports that are linked directly to your data. You’ll learn about the types of report templates included with Data Studio and how to customize them. Finally, we’ll walk through creating reports that link to our product database.
The Data Studio Linking feature gives you the ability to create reports that are built around your data. For example, you might want to compare sales over time or look at trends across multiple dimensions. With the linking feature, you can quickly create reports that provide insights into your data.
To start, go to the Reports tab and select Create Report. Then choose the type of report template that you’d like to use. There are three types of templates:
1. Dashboard – A dashboard is used to display information. These are great for presenting large amounts of data.
2. Table – Tables let you present complex data in a structured format. They’re suitable for displaying smaller sets of data.
3. Map – Maps let you visualize data in a geographic context. They help show relationships among locations.
After selecting one of the templates, you’ll see a list of options. Choose the fields that you want to include in your report. After choosing your areas, you can add filters and sort criteria to refine your results further.
OAuth authorization flow
Google announced it’s rolling out a domain-wide delegation for Android apps. This feature lets you access third-party apps to specific groups within your organization rather than granting individual users access. You can use this functionality to allow employees to sign into certain apps, such as email clients, while blocking others, like social media platforms.
Domain-wide delegation requires Android 7.0 Nougat or later versions of the operating system. To enable domain-wide delegation, follow these steps:
Step 2: Select “App Domains.”
Step 3: Click Add Domain.
Step 4: Enter the name of the domain you want to delegate, select whether you wish to authorize all domains under this domain, and enter the list of domains you wish to include.
Step 5: Click OK.
Overview of the URL Inspection API
URL inspection is one of the essential tools for anyone working in digital marketing. Several options are available to you if you want to know whether a particular URL is indexed, how many times it has been crawled, what keywords people are searching for, etc.
The URL Inspection API is a RESTful web service that provides access to information about URLs. You can make queries against the API using HTTP GET requests. To learn more about the API, see our documentation here.
We can learn more about the URL Inspection API by reading our overview article.
Different methods for pulling the data from the URL Inspection API
URL Inspection provides information about URLs, including the HTTP status code, referrer, domain name, etc. This allows developers to build applications such as web crawlers, analytics tools, and security scanners. For example, it could help identify malicious sites, track how people navigate around the internet or check whether a site is accessible from certain countries.
There are many different ways to pull the data out of the API. Some require a paid monthly subscription, while others offer free trials.
The most popular way to use the API is via the RESTful interface. Here’s an overview of the different options.
1. GET requests
GET requests to allow you to retrieve specific pieces of information from the API without making multiple calls. These include:
• Status codes
• Referrers
• Crawler IP addresses
• Crawl start dates
• Number of pages crawled
• Page titles
• Keywords
2. POST requests
POST requests allow you to submit new data to the API. The data you send must be formatted according to the JSON schema.
3. PUT requests
PUT requests allow you to update existing data on the API. The updated data will replace the old data.
4. DELETE requests
DELETE requests remove data from the API.
5. OPTIONS requests
OPTIONS requests let you determine if the API supports a given request method.
6. HEAD requests
HEAD requests return only the headers associated with a resource. They do not provide anybody with content.
7. TRACE requests
TRACErequests return the whole response body of a resource.
8. CONNECT requests
CONNECT requests establish a tunnel between your application and the server.
9. PROPFIND requests
PROPFIND requests are used to get metadata about resources on the server.
10. PROPPATCH requests
PROPPATCH requests are used to modify metadata about resources on the servers.
11. MKCOL requests
MKCOL requests are used to create collections on the server.
12. COPY requests
COPY requests are used to copy resources on the server. The source and destination must both be valid resources on the server. It is possible to specify a relative path when copying resources.
13. MOVE requests
MOVE requests are used to move resources on the server. There is no restriction on where the moved resource should go.
14. LOCK requests
LOCK requests are used to lock resources on the server. A locked resource cannot be modified until the lock expires.
15. UNLOCK requests
UNLOCK requests are used to unlock resources on the server. Once unlocked, they become freely modifiable.
16. REPORT requests
REPORT requests are used to report statistics about the usage of the API.
17. BUCKET_CREATE requests
BUCKET_CREATE requests to create buckets on the server.
I love Google Data Studio and this site is all about sharing tips and trick and help users get the most of out Google’s free data visualization tool