![]() Let’s fetch the data: from airtable import airtable at = airtable.Airtable('BASE_ID', 'AIRTABLE_API_KEY') response1 = at.get('Sales Deals') response2 = at.get('Sales Reps') In Jupyterlab Fetching our dataįor the purpose of this guide, we will work with one of Airtable’s sample templates - the Sales Pipeline base. ![]() We are now ready to start using Airtable Python. Replacing “API_KEY” with the string you just copied.įrom the command line, run: source ~/.bash_profileĪirtable’s REST API interface can be found here. Open your bash profile in your preferred editor and enter the following: export 'AIRTABLE_API_KEY' = "API_KEY" Instead, we can set a global variable in our ~/.bash_profile. It is bad practice to have your API keys in the code you are running. You can do this in your Airtable account settings. Note that you will need to generate an API key for your account if you haven’t already. If you think your team could benefit from a more automated process for tracking metrics that impact decision-making.Īirtable Python uses Requests, which you can install by running: conda install -c anaconda requests -y.You are already using Airtable for some specific knowledge management - your sales CRM, for example - but are frustrated with the built-in data visualization features.So this guide will show how you can fetch Airtable data from a Jupyter Notebook, manipulate and visualize this data, all in Python. But to really supercharge your analytics, this work should be as automated as possible. It is possible (on the pro plan) to build charts using Airtable’s code blocks. However, sometimes we can have so much tabular data that it is hard to really grasp week-to-week developments. IntroductionĪirtable is an awesome tool for centralizing data and running multiple different segments of your business. Then, add a dashboard to display your extensions side-by-side.This guide will walk you through how to connect to an Airtable base from a Jupyter notebook, pull in your data and plot it, all with python. You can start by clicking the Extensions icon in any base to open the pane-from there you can explore our Extensions marketplace to select and install the extension of your choice. Now that you know some of the different ways you can create reports in Airtable, go ahead and try it out for yourself. The summary bar will provide this information at the bottom of any grid view, at a glance. Maybe you want to see how many total records there are in a table or the sum total of your budget field. ![]() If you’re looking for a summary of the data in any table, check out the summary bar at the bottom of your base. For example, if you’re publishing a series of stories, you can use a rollup field to determine the last publishing date, so you can easily share when your team is ready to take on a new series. You can use a rollup field to summarize data in any table’s linked records. Here are two additional ways you can easily report in Airtable: Use a rollup field More robust design customization options, including ability to add static images and text View information or trends across multiple records at once View detailed information for one record at a time (e.g. Standalone report, view in Airtable or exportable as a PDFīuilt on top of views requires granting minimum of read-only access to your base ![]()
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