Export Airtable to Google Sheets

In Coupler.io, the integrations between applications are called importers. After logging into the app, you will need to set up a new importer specifically for your Airtable view. It's important to note that each Importer can export a single view from Airtable. Therefore, if you intend to export an entire Airtable database, you will need to create individual importers for each view. The great news is that you can duplicate importers; no need to start from scratch each time. This allows you to generate importers for every view in your database efficiently.

To automate data flow from Airtable to Google Sheets, follow a three-step setup flow.

Step 1: Get a share link to your Airtable view
The first step involves getting a share link to the Airtable view you want to connect to Google Sheets. You can get this link in Airtable when you click Share and sync.

Insert the link to the respective field of your data source settings. For the password-protected views, you’ll need to enter the password in the provided field.



Step 2: Organize & transform data
Coupler.io is equipped with a Transform module for user convenience. It allows you to carry out all the necessary manipulations directly in the interface of our application. What can you do?

• Preview data – check if the data you need to extract loads correctly before exporting it.
• Manage columns – hide the columns you don't want to export from Airtable to Google Sheets, add new columns, rename and reorder them, change their type, and merge information from several columns into one.
• Filter data – you can use various filters to extract only the needed data based on criteria. To do so, you must select the column containing the filtering criterion (for example, status) and specify the desired value.
• Perform calculations – you can calculate new metrics based on your data directly within Coupler.io's interface. All you need to do is add a new column and provide a calculation formula.

The Transform module is available to users with any subscription and requires no additional settings or adjustments. You can use it with all available integrations.



Step 3: Load data
The final step involves connecting to Google Sheets, your destination application. Next, select a spreadsheet and sheet where the data will be loaded. In the optional fields, you can choose the first cell address where your Airtable data will be imported, enable the last update column, or change the import mode.

Follow the intuitive in-app instructions to quickly determine the destination within Google Sheets.



Click Run Importer once you're ready. After the successful import, you can check out your spreadsheet with the exported Airtable data by clicking the View Results button.

This three-step process to export Airtable to Google Sheets you with timely, organized, and transformed data ready for in-depth analysis.

Ensure that the data exported from your Airtable to Google Sheets is always up to date. For this, Coupler.io allows you to schedule exports at a custom frequency, up to every 15 minutes. Toggle on the Automatic data refresh and configure the schedule for automatic data export from Airtable to Google Sheets:

• Interval (from 15 minutes to once per month)
• Days of the week
• Time preferences
• Time zone.

Automated exports of Airtable data to Google Sheets will let you keep your reports consistently fresh and reflective of the latest information.

Coupler.io facilitates seamless connections between many data sources and Google Sheets. You can load data from Airtable and blend it with information from other sources before loading it into the spreadsheet. For this, click the Add one more source button and follow the setup instructions. This allows you to combine data from numerous Airtable views.

Additionally, Coupler.io supports aggregating data from diverse sources for in-depth analytics. You can merge data from CRM systems, analytics tools, marketing platforms, and other valuable data sources. This will offer a rounded perspective for data-driven decision-making.

Coupler.io provides two data blending options to cater to your specific analysis requirements:

• Union data: This approach allows you to append data elements from one source to another, ensuring a comprehensive dataset. To achieve a successful merge, the columns in both sources must have identical names.
• Join data: This method lets you juxtapose two data sources. It’s ideal for comparative analyses or tracking across dimensions. Each dataset requires at least one common column to facilitate the merge.

You can choose your preferred blending option once all your data sources are connected. Click Transform data and decide how you want to prepare your data for analysis.

Coupler.io allows you to export Airtable to Google Sheets and various other destinations. This versatility is critical to integrating your data across the different tools and platforms. Choose the best one that suits your workflow and reporting requirements.

• If you prefer spreadsheet applications, opt for Google Sheets and Microsoft Excel
• If you require the storage capabilities of data warehouses, opt for BigQuery, PostgreSQL, or Redshift
• If you need to visualize your data, you can choose BI tools like Looker Studio, Power BI, Tableau, and Qlik.

Users can easily copy their importers and select a new destination from the list. Switch between different destinations to adapt your data management strategies to evolving requirements.