How to Export Airtable to Excel in 4 Easy Ways

More than 500,000 organizations use Airtable to manage operational data. But when it comes to deeper analysis, reporting, or sharing work with people outside your workspace, it starts to show its limits. Pivot tables aren’t native, advanced formulas feel restrictive, and getting data to stakeholders who don’t use Airtable is clunkier than it should be.

Excel fixes most of that. With an estimated 1.1 billion users worldwide, it’s where analysis actually happens for most teams—pivot tables, custom formulas, offline access, no permissions headache.

The problem is getting your Airtable data there cleanly, and keeping it current without doing it manually every week.

This guide covers four ways to export Airtable to Excel, from a one-click CSV download to a fully automated pipeline, with step-by-step instructions and a comparison table so you can pick the right method for your workflow.

4 Practical Ways to Export Airtable to Excel 

Here’s a quick comparison of the four methods based on setup, automation, and scalability.

Method	Setup	Sync Frequency	Coding Required?	Best For
Hevo (Automated Pipeline)	No-code	Ongoing/real-time	No	Best for teams needing reliable, automated sync at scale
Airtable API + Python	Python scripting	Scheduled / on-demand	Yes	Best for technical users who want full programmatic control
Google Sheets Sync	No-code	Near real-time via sync	No	Best for teams already using Google Workspace
Manual CSV Export	None	Manual/one-off	No	Best for quick, infrequent one-off exports

Method 1. Export Airtable to Excel Using Hevo Data

Hevo is a no-code ELT platform that connects Airtable to your destination of choice, including Excel. The platform loads Airtable data into a warehouse destination, and Excel connects to it via Power Query Unlike manual exports, Hevo keeps your data in sync automatically. No scripts, no scheduled downloads, no stale reports.

Step 1: Log In and Create a New Pipeline

Log in to your Hevo account and click Pipelines → + Create Pipeline from the left navigation.

Step 2. Select Airtable as Your Source

Search for Airtable in the source connector list and select it.

Step 3. Authenticate Your Airtable Account

Enter your Airtable Personal Access Token. You can generate one from your Airtable account under Developer Hub → Personal Access Tokens. Select the base and tables you want to sync.

Step 4: Configure Your Destination

Select your destination. For Excel-ready output, choose Amazon S3, Google Cloud Storage, or a data warehouse like Snowflake or BigQuery. Then pull the data into Excel via Power Query. Set your sync frequency: real-time, hourly, or daily. 

Note: Hevo follows an ELT approach. It loads your raw Airtable data into the destination first, then lets you transform it there. This means your data arrives faster and your transformation logic stays inside your warehouse or BI tool where it belongs.

For a broader view, see how data integration tools compare and what to look for when evaluating them.

Step 5: Map Your Fields and Launch

Review the auto-mapped schema. Adjust column names if needed. Click Finish & Deploy. Hevo will run the first ingestion and keep it updated on your chosen schedule.

Once data lands in your destination, connect Excel via Data → Get Data → From Database or import the flat file directly.

Hevo Pipeline distinguishes itself from other data integration platforms through its no-code approach, which simplifies the process of setting up and managing data pipelines.

Shishir P.

Business Analyst

View Review

Method 2: Export Airtable to Excel Using the API and Python 

This method works best if you need more control over what gets exported. You can filter records, paginate through large tables, and schedule the script to run automatically.

You will need basic Python knowledge to follow these steps.

Step 1: Get Your API Key and Base ID

• Go to your Airtable account and generate a Personal Access Token
• Open the API documentation for your base at airtable.com/api
• Note your Base ID and Table Name

Step 2: Install the Required Libraries

Run this in your terminal:

pip install requests pandas openpyxl

Step 3: Write the Export Script

python

import requests
from pyairtable import Api
import pandas as pd
api = Api("your_personal_access_token")
table = api.table("your_base_id", "your_table_name")
records = table.all()
data = [r["fields"] for r in records]
df = pd.DataFrame(data)

Step 4: Export to Excel 

python

df.to_excel("airtable_export.xlsx", index=False, engine="openpyxl")
print("Export complete.")

Run the script. Your Excel file will appear in the working directory with all records and column headers intact. 

Method 3: Export Airtable to Excel via Google Sheets

This method works best if your team already uses Google Workspace. Airtable syncs directly to Google Sheets, and Excel can pull from Google Sheets via a web query.

No coding required.

Step 1: Connect Airtable to Google Sheets

• Open the base and table you want to export in Airtable
• Click the Sync icon in the toolbar
• Select Google Sheets as the sync destination
• Sign in with your Google account
• Choose the target spreadsheet and sheet tab
• Select which fields to sync and click Enable Sync

Step 2: Publish the Google Sheet

• In Google Sheets, go to File > Share > Publish to Web
• Select the sheet tab you want to export
• Set the format to CSV
• Click Publish and copy the URL

Step 3: Pull the Data into Excel

• Open Excel and go to Data > Get Data > From Web
• Paste the published Google Sheets URL
• Click OK and load the data

Step 4: Set Up Auto-Refresh

Set a refresh interval so Excel pulls updated data automatically

Go to Data > Queries and Connections

Right-click your query and select Properties

Method 4: Manual CSV Export

Step 1: Creating Table Views in Airtable to Export Airtable to Excel

• Open Airtable and log in to your account. Click on the View Switcher icon and select Create from the list to create a new view. Now, choose the type of view that you want to create to export Airtable to Excel. In case your view created collapses you can expand it.
• You can also hover over the view creation section to understand briefly about the view type. After creating a view you can name it, sort the fields, hide show the fields, filter records, and sort the records.

Step 2: Download Airtable to Excel using CSV Downloads

• To export Airtable to Excel, click on the View Menu button (…). Select the Download CSV option from the menu. This functionality is available only for Web and Desktop Airtable applications. You can use export Airtable to Excel as a way to backup your data outside of Airtable and into Excel. The downloaded CSV file can be located in your device’s default download location.

Read: Configuring Airtable Automations: The Easy Way

Understanding Exporting Data From Airtable to Excel

What is Airtable?

Airtable is an intuitive software that bridges the gap between traditional databases and spreadsheets. It allows users to create and share data from various databases without needing advanced technical skills. Its user-friendly interface makes it easy for anyone to set up a database view in minutes, enabling efficient storage and organization of information such as employee details, customer records, and inventory lists.

Key Features of Airtable

• Collaborative Environment: Facilitates real-time collaboration, making it easy to share data and work together on projects, regardless of technical expertise.
• Ease of Use: Designed for non-technical users, Airtable eliminates the need for SQL scripting while providing robust data management capabilities.
• Relational Database Functionality: Combines the power of a relational database with the simplicity of a spreadsheet, offering a versatile solution for organizing large volumes of data.
• Quick Setup: Create database views quickly and intuitively, allowing for efficient data organization and sharing without complex configurations.

For more comprehensive insights into Airtable, we recommend exploring our informative guide on the best Airtable examples and use cases.

What’s Next?

Now that you’ve mastered exporting Airtable data to Excel manually, consider your next steps for managing and scaling your data processes:

• Automate Workflows:
  Explore automation options to streamline regular CSV exports and reduce manual errors. Learn more about Airtable ETL Tools.
• Broaden Integration:
  Consider automated solutions like Hevo Data to connect multiple sources seamlessly, freeing you from repetitive manual tasks. Try more integrations such as:
  • How to Migrate PostgreSQL to MySQL?
  • Connect Google Sheets to MySQL
  • How To Migrate Data From Postgres To Iceberg?
• Enhance Analysis:
  Leverage Excel’s advanced features and BI tools to gain deeper insights and build dynamic dashboards.
• Secure Your Data:
  Set up regular backups and monitor exports to ensure data integrity and simplify recovery.

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