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How to Export Airtable to Excel: 5 Methods Explained Step-by-Step

Airtable undoubtedly comes with a range of strong built-in features and functionalities, such as customizable fields, pre-made templates, hundreds of integrations, and custom views. However, exporting data from Airtable to Excel can be useful in many scenarios. For example, you can perform advanced data visualization, analysis, and manipulation, access data offline, create custom reports, and more. 

If you are wondering how to connect Airtable to Excel and export data, follow this step-by-step tutorial. 

Methods to export data from Airtable to Excel

Although Airtable does not provide a direct, official integration with Microsoft Excel, there are multiple methods available to connect Airtable and Excel and enable data exports. Let’s discuss them briefly:

Method 1: Connect Airtable to Excel using Coupler.io

Coupler.io is an advanced reporting and analytics platform that allows you to connect Airtable to Excel and export data efficiently. This no-code platform easily collects, transforms, and manages data in just a few minutes and transforms your raw data into actionable insights that enable data-driven decision-making. 

The best part is that using Coupler.io does not need technical expertise, such as coding or knowledge of programming languages. Here’s how to connect Airtable to Excel to automate data export:

Step 1: Collect data from Airtable 

Click Proceed in the form below. You’ll be offered to get started with Coupler.io for free.

Next, you need to obtain a shared view link for the Airtable view or table you need to export data from. Go to your Airtable base view and click Share and sync > Create link to view. You will get a shareable link. Copy and paste the link into the Shared URL area inside Coupler.io’s source application window.

If you have protected your Airtable views with a password, enter it and proceed by clicking FINISH AND PROCEED. This way, you can collect your desired data from your Airtable account. 

Step 2: Organize and transform data

Before you load your Airtable data to Excel, Coupler.io enables you to preview, organize, and transform your data directly from its interface. Here are the various options you will get:

Step 3: Load data and schedule automatic data refresh  

Once you have the data ready, add your Microsoft account where you want to export the data and connect it to the Coupler.io platform. Just sign in to your Microsoft account and then enable access permissions for Coupler.io. 

Now, select the Excel workbook and sheet where you want to load the Airtable data. You can use an existing worksheet or even create a fresh sheet by typing in a new name. This allows Copuler.io to create the sheet in the chosen Excel workbook. 

To get up-to-date Airtable data in Excel, schedule automatic data refresh by configuring the specific: 

By default, this feature is turned off, so toggle it on to enable it. You can enable or disable this feature at any time. Once done, click the Run Importer button to complete the data loading process. View the data by clicking View Results

Benefits of using Coupler.io

The platform automates the data export process and connects over 60 applications to BI tools, data warehouses, and spreadsheets. The type of data you can export includes:

You can enable automatic data refreshes based on your preferred schedule to ensure your Airtable data in Excel is always up-to-date. Choose a suitable interval (from every 15 minutes to monthly), days of the week, or time zone for scheduling data exports. 

Method 2: Export Airtable to Excel manually 

Another way to export data from Airtable to Excel is by downloading your Airtable base as a CSV file and then opening the file in Microsoft Excel. If you are looking for one-time data exports or have fewer data exporting needs, you can go for this straightforward method. 

Let’s understand how you can do it with this step-by-step guide:

Once the file is downloaded, open it in Microsoft Excel and perform your task.

Benefits 

This is probably the easiest method to export data from Airtable to Excel without any hassles, whether you possess technical expertise or not. 

Limitations

For larger volumes of data exports or ongoing data exporting needs, this manual option is slow, time-consuming, and tedious. Besides lacking automation, it can also lead to data loss and errors in data transfer. 

Method 3: Export Airtable data to Excel via Google Sheets

If you don’t want to use a third-party tool but still wish to automate the data export process, you can use Google Sheets as a bridge to connect Airtable to Excel. 

This method is a two-step process that requires you to first connect your Airtable account with Google Sheets and then use Airtable’s automation feature to synchronize data between two applications. Once the file is in GSheets, download it as an Excel file. 

Here is the step-by-step process to export data from Airtable to Excel via Google Sheets:

Step 1: Use automation to sync Airtable to Google Sheets

Step 2: Upload the Google Sheet file to Excel 

Now that you have the Airtable data in Google Sheets, you can easily download it as a Microsoft Excel file. 

Benefits 

If you are looking to automate data export from Airtable to Excel for free, this Google Sheets workaround will be useful to you. It also doesn’t need you to be a tech expert, basic tech skills will do fine. 

Limitations

Although this is a free and simple solution, it requires you to perform an extra step. The first part of the process is automated, but you still need to manually download the data as an Excel file in the second step. Furthermore, the process can become tedious if you want to export multiple tables. 

Method 4: Airtable to Excel integration using Airtable’s API

There are two ways you can use Airtable’s API for data exports:

The first method is useful if you possess technical skills like coding and working with APIs. Airtable gives you the option to create a custom integration between Airtable and Excel to enable data export. 

For this, you will need to write a script in a programming language, such as Python using Airtable API to extract data and load it to Microsoft Excel. The method also requires you to have extensive knowledge of authentication, API rate limiting, error handling, etc., as well as related skills like data transformations, monitoring, automation, and more. 

Benefits 

This method is reliable and secure as it uses token-based authentication. It also offers customizability, and you can manipulate and transform data before exporting. 

Limitations 

This method only works for people with strong technical skills in coding, APIs, authentication, and related skills. So, if you are not familiar with these concepts, it’s better to skip this method and go for alternative ones, like automated data exports using Coupler.io. 

Method 5: Export data from Airtable to Excel using Zapier  

Zapier is another third-party tool that lets you integrate Airtable with Excel and export data automatically. This method is suitable for you if you are looking to automate data exports for simpler tasks or have lighter data transfer requirements. 

This no-code platform is easy to set up and use and comes with basic automation capabilities. It allows you to extract, transform, and summarize your data with AI models, such as Anthropic, OpenAI, and more. It lets you integrate a variety of data, from simple data entry to complex end-to-end processes and workflows, such as lead management, marketing campaigns, customer support, and more. 

You can choose triggers (when to begin an action) and actions (tasks) to start the workflow automation. In Zapier, each workflow is called a Zap. Zapier also provides a template to integrate Airtable to Excel quickly. Unlike Coupler.io, which allows you to refresh data every hour or every day, Zapier works on triggered automation. For instance, if you set the trigger to New Record, the Excel workbook will be updated when a new record or data is added to the connected Airtable view. 

Setting up Airtable to Excel integration in Zapier:

Step 1: Create your Zapier account

Step 2: Select the trigger

Step 3: Connect Airtable to Zapier

Step 4: Choose data

Select the Airtable view you want to export. You can also apply filters to select specific data. You can test if the automation is working fine or not.

Step 5: Select the Action

Step 6: Connect Zapier to Excel

Step 7: Finish

Finish the automation by clicking the Turn on Zap button on your Zapier dashboard. 

Benefits

Getting started with Zapier is easy, even for beginners. It’s reliable and secure with token-based authentication. 

Limitations 

Zapier’s free solution has limited automation constraints and data limits. 

Other third-party tools:

Apart from Zapier, there are other third-party tools available, like Microsoft Power Automate, integrate.io, and more, to enable automatic data exports from Airtable to Excel. 

Which is the best way to export data from Airtable to Excel?

Modern businesses rely on data, and this reliance increases as a business grows. Exporting data from Airtable to Microsoft Excel is a great way to visualize your data offline, leverage advanced analytics for reporting, and collaborate with your team.

There are multiple ways to export Airtable to Excel, including manual and automated. If your data export requirements are lighter, you can go for these methods – exporting data via CSV downloads or by using Google Sheets workaround. 

If you have a way with coding and APIs, you can create custom integrations, but it’s time-consuming.

If you regularly export data from Airtable to Excel and want to save time and effort, use third-party automation tools, such as Coupler.io and Zapier. While Zapier is a great option, it updates data based on triggered automation. In contrast, Coupler.io allows you to schedule data refresh every hour or every day. It provides a user-friendly interface so you can easily export data from Airtable to Excel, irrespective of your technical expertise. Moreover, the platform supports other destinations for your data, e.g., you can export Airtable to Power BI, Tableau, BigQuery, and other apps.

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