This post shows you how to connect a Google Sheet to GitHub’s API, with Oauth and Apps Script. The goal is to retrieve data and information from GitHub and show it in your Google Sheet, for further analysis and visualization.
If you manage a development team or you’re a technical project manager, then this could be a really useful way of analyzing and visualizing your team’s or project’s coding statistics against goals, such as number of commits, languages, people involved etc. over time.
Note, this is not a post about integrating your Apps Script environment with GitHub to push/pull your code to GitHub. That’s an entirely different process, covered in detail here by Google Developer Expert Martin Hawksey.
It’s day two of a four day product launch. You’ve worked hard all year to create a fantastic product, test your sales systems and tell the world about this amazing offer. You know you’ve sold 100 products so far, but…
…you don’t know whether your ads are effective, which affiliates are really killing it versus which have forgotten about your launch, or even whether your own emails are converting.
Looking at your sales log only, and having to decipher what’s happened since the last time you looked an hour ago, is like trying to drive in the dark without headlights.
Thankfully there is a better way to track your sales, so you can see your data, get insights about what’s working and what’s not, and immediately act to increase your bottom line.
This post looks at how to build a real-time dashboard for the E-junkie digital sales platform using Google Sheets:
E-junkie is a digital shopping cart, used for selling digital products and downloads. The system handles the shopping cart mechanics, but does not do any data analytics or visualizations.
You can view a transaction log (i.e. a list of all your sales) but if you want to understand and visualize your sales data, then you’ll need to use another tool to do this. Google Sheets is a perfect tool for that.
You can use a Google Sheet to capture sales data automatically in real-time, and use the built-in charts to create an effective dashboard.
You’d be crazy not to have a tracking system set up, to see and understand what’s going on during sales events or product launches. This E-junkie + Google Sheets solution is effective and incredibly cheap ($5/month for E-junkie and Google Sheets is free).
The Write Life ran a Writer’s Bundle sale this year, during the first week of April. It’s a bundled package of outstanding resources for writers, including ebooks and courses, heavily discounted for a short 4-day sales window.
I created a new dashboard for The Write Life team to track sales and affiliates during the entire event. This year’s dashboard was a much improved evolution of the versions built for the Writer’s Bundle sales in 2014 (which, incidentally, was my first blog post on this website!) and 2015.
In this post, we’re going to see how to setup a Google Sheets and Mailchimp integration, using Apps Script to access the Mailchimp API.
The end goal is to import campaign and list data into Google Sheets so we can analyze our Mailchimp data and create visualizations, like this one:
Mailchimp is a popular email service provider for small businesses. Google Sheets is popular with small businesses, digital marketers and other online folks. So let’s connect the two to build a Mailchimp data analysis tool in Google Sheets!
Once you have the data from Mailchimp in a Google Sheet, you can do all sorts of customized reporting, thereby saving you time in the long run.
I use Mailchimp myself to manage my own email list and send out campaigns, such as this beginner API guide (Interested?), so I was keen to create this Mailchimp integration so I can include Mailchimp KPI’s and visualizations in my business dashboards.
For this tutorial I collaborated with another data-obsessed marketer, Julian from Measure School, to create a video lesson. High quality video tutorials are hard to create but thankfully Julian is a master, so I hope you enjoy this one:
(Be sure to check out Julian’s YouTube channel for lots more data-driven marketing videos.)
The Crunchbase API is easily accessible with Apps Script, meaning you can retrieve Crunchbase company data to display, or analyze further, in your Google Sheet. This article shows you how to connect to the Crunchbase API.
How to import data from the Crunchbase API into Google Sheets
Crunchbase is a business information platform; a sort of giant database of information on organizations and people in the business world, especially the digital/technology/startup world.
They have an API so you can programmatically access and retrieve business data. There’s a free tier, which is what I’ll show in this article, and a paid, pro tier, which has a much richer dataset available through the API.
On the free tier, you’re limited to data on organizations and people profiles, through their Open Data Map. It’s a RESTful API with two endpoints (/odm-organizations and /odm-people) and you need to apply for basic access first to get a user key for access.
Everyone uses email in different ways. For me, email is at the very centre of my business. Everything flows through my Gmail account.
Being able to categorize all work enquiries or questions with a specific label, for example Queries (which I nest under my Work label) is one of the most useful features of Gmail.
Recently I needed to extract all of the email addresses for the hundreds of messages under this label. Super tedious to do manually, but thankfully there’s a much quicker way using Apps Script.
In this post, we’ll see how to setup a Google Sheet to extract all the email address for a specific Gmail label. I’ll share the code and walk through it with you.
How to use the Gmail Service with Apps Script and Google Sheets
Step 1: Set up the Google Sheet
The Google Sheet for this example is super simple for a change.
Cell B1 is where we type the label that we want to extract emails from, and then on row 3 are the two column headings, Name and Email.
The sheet looks like this:
Really important note
In this example I have a nested label, where I want email addresses from the label “queries” which belongs to the parent label “work”. Hence I need to write the label with a dash to show this relationship, with the parent label listed first, hence: “work-queries”.
If you are just looking at a single label with no relationship with other labels, then you can just type that label, e.g. “work”.
The goal of this post is to guide you through connecting Google Sheets to your very first external API using Google Apps Script, to retrieve data from a third-party and display it in your Google Sheet.
We’re going to start by using Google Apps Script to connect to a super simple warm-up API to retrieve some data:
Then we’ll use Google Apps Script to build a music discovery application using the iTunes API:
Finally, I’ll leave you to have a go at building a Star Wars data explorer application, with a few hints:
The basics: what is an API?
You’ve probably heard the term API before. Maybe you’ve heard how tech companies use them when they pipe data between their applications. Or how companies build complex systems from many smaller micro-services linked by APIs, rather than as single, monolithic programs nowadays.
API stands for “Application Program Interface”, and the term commonly refers to web URLs that can be used to access raw data. Basically, the API is an interface that provides raw data for the public to use (although many require some form of authentication).
As third-party software developers, we can access an organization’s API and use their data within our own applications.
The good news is that there are plenty of simple APIs out there, which we can cut our teeth on.
We can connect a Google Sheet to an API and bring data back from that API (e.g. iTunes) into our Google Sheet using Google Apps Script. It’s fun and really satisfying if you’re new to this world.
Connecting Google Sheets to an external API using Google Apps Script
We’re going to be using Google Apps Script to connect to external APIs in the following examples.
Warm-up: Connecting Google Sheets to the Numbers API using Google Apps Script
We’re going to start with something super simple, so we can focus on the data and not get lost in lines and lines of code.
We’re going to write a short program that calls the Numbers API and requests a basic math fact.
Step 1: Open a new blank Google Sheet and rename it: Numbers API Example
Admit it, we’ve all been there. Getting frustrated trying to find a specific sheet inside a huge workbook, and not being able to see it amongst all the other sheets.
Well, here’s a quick Apps Script to create a hyperlinked index page at the start of your workbook.
Quick caveat first: There’s one drawback – the hyperlinks open the sheets in new tabs, which unfortunately I can’t do anything about. However, it should still be useful for anyone working with workbooks with 10+ sheets.
Here it is in action:
What if we already have a sheet by the name ‘Index’?
Well, you’ll be prompted to enter a different index name or to cancel the operation:
Steps to create your own hyperlinked index sheet in Google Sheets
Step 1: Open up the workbook you want to add the index sheet to and open the apps script editor (Tools > Script editor...).
The charts themselves are a bit of a novelty. Yes, they’re aesthetically pleasing because of that resemblance to a real-world, tapering funnel, which reinforces their message, but a plain ole’ bar chart would be equally suitable and actually easier to read data from (because the bars have a common baseline).
However, they throw up some interesting techniques in Google Sheets and for that reason, merit this long article.
We’ll build them using tricks with the chart builder tool, then with two different types of funky formula and finally, and best of all, we’ll build a tool using Apps Script, as shown in this image:
As with the waterfall charts in Google Sheets, they’re not one of the out-the-box charts available to us, so we have to manually create them with a crafty workaround. Thankfully, they’re relatively simple to create, certainly simpler than the waterfall chart.
For all of these examples, we’ll use this fictitious real-estate dataset:
Here, I’m imagining the real estate agency collects data relating to their sales funnel, and they want to display it in a funnel chart format.
Click here to open up the Google Sheet template and make your own copy (File > Make a copy...).