If you consider your data in Airtable absolutely vital to run your business, then you should create backups to protect your business. While Airtable maintains redundant backups on its data centers,  there are many reasons you would need to store a copy of your data locally or in a cloud-based data store. Whether it’s your client contacts, billing records, financial reports, inventory, or appointments, having a backup copy of your data outside of Airtable is always nice and reassuring. You can also connect Airtable to MySQL using different methods, such as scripts, APIs, connectors, or third-party apps.

In this post, we’ll look at how you can set up an Airtable MySQL Integration, the limitations of the method you will use to achieve this, and finally, you’ll be introduced to an easier alternative.

Methods for Setting up Airtable MySQL Integration

There are various tools and methods available for Airtable to MySQL integration, including manual export-import procedures and automated scripts. In this section, you will learn about two different methods to set up an Airtable MySQL Integration: 

Method 1: Using Hevo for Airtable MySQL Integration

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Accessing Data from Airtable Using the REST API

Utilizing the REST API is an effective method to retrieve data from Airtable. Below are the steps to utilize the REST API as a source:

Step 1: Establish a Connection with REST API as the Source

To configure the REST API as a source in Hevo, follow these instructions:

  • Navigate to the PIPELINES section in the Navigation Bar.
  • Click on + CREATE in the Pipeline List View.
  • Choose REST API from the Select Source Type options.
  • This action will bring up the Configure REST API Source page:
Airtable MySQL Integration
Image Source

Next steps include,

  1. Give the pipeline a unique name to identify it.
  2. Specify the source as the REST API from where data needs to be extracted. Provide the base URL or root path of the API.
  3. Choose the pagination method that the REST API supports for fetching the data – offset/limit, cursor, or page number based.
  4. Click on Finish Setup after configuring the above parameters. This will create the pipeline in Hevo ready to be activated to start replicating data from the REST API source.
Airtable MySQL Integration

To set up Hevo integration for a REST API data source, you need to configure the following:

  1. Connect to the REST API endpoint URL.
  2. Define any mandatory request headers and query parameters to integrate with the endpoint as per the API specification.
  3. Click on Test & Continue to verify correct configuration by checking connectivity and access credentials for the endpoint.
  4. Specify the base data path/root that needs to be accessed within that API to extract the required data.

Refer to Airtable REST API integration for more details on the above steps to correctly set up a REST API data source.

Step 2: Connect MySQL as Destination

Perform the following steps to configure MySQL as a Destination in Hevo:

  1. Click DESTINATIONS in the Navigation Bar.
  2. Click + CREATE in the Destinations List View.
  3. In the Add Destination page, select MySQL.
  4. In the Configure your MySQL Destination page, specify the following:
Airtable MySQL Integration
Image Source
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Method 2: Setting up Airtable MySQL Integration Manually

If you’d like to export your current Airtable records in MySQL, you can export data from Airtable as CSV files and then import these files in MySQL. The export to CSV function is a great way to backup your data outside of Airtable and into MySQL for BI analytics or just simply for offline access.

To do this:

Step 1: Export data from your Airtable base in CSV format

  1. In your Airtable base, select the view you want to export.
  2. Click the three-dot menu next to the view name.
  3. Click Download CSV.
Airtable MySQL Integration: Downloading Airtable data as CSV file.
Image Source: Swipetips

4. A CSV file of your table view will automatically export to your files (the file will be located in your device’s default download location).

5. Repeat the process for each table in your base.

Step 2: Import the CSV files in MySQL

Here is how you do this:

  1. Create a table in MySQL using the same schema as your CSV file. For example:
CREATE TABLE 'customers' (userId INT);
ALTER TABLE customers ADD COLUMN email VARCHAR(256);
ALTER TABLE customers ADD COLUMN location VARCHAR(256);
  1. Load data into your table
INTO TABLE your_awesome_table  
(field_1,field_2 ,field_3);

Because we’re loading the file  from a local directory, we are doing this:


Since you will most likely export more than one field, MySQL will skip the last field. That’s why we’ve explicitly referenced all fields.

(field_1,field_2 ,field_3);

Lastly, because the CSV file we’ve exported from Airtable has the first row as the title for your fields, we’ve included this line:


Here is a real-life example:

INTO TABLE customers  

Limitations of Manual Airtable MySQL Integration

Keep in mind the following limitations before setting up Airtable MySQL Integration manually:

  • Each table in your Airtable base (workspace) must be exported in a separate CSV file. 
  • Exports do not include comments, app content, or base and field descriptions.
  • If you want to export attachments, then you have to use a third-party tool.
  • This solution doesn’t allow you to export the entire base at once.
  • You can only export 15,000 rows. If you have more rows than that then you have to split the table into multiple CSV files.

Use Cases to transfer your Airtable data to MySQL.

Integrating Airtable data with MySQL offers several benefits. Here are some examples of how you can use this integration:

  • Advanced Analytics: With MySQL’s powerful data processing capabilities, you can perform complex queries and data analysis on your Airtable data, allowing you to extract insights that you wouldn’t be able to obtain within Airtable alone.
  • Data Consolidation: If you’re using multiple data sources besides Airtable, syncing them to MySQL can centralize your data for a comprehensive view of your operations. It also enables you to set up a change data capture process so you never have any discrepancies in your data again.
  • Historical Data Analysis: Airtable has restrictions on historical data, but by syncing data to MySQL, you can retain long-term data and analyze historical trends over time.
  • Data Security and Compliance: MySQL offers robust data security features. By syncing Airtable data to MySQL, you can ensure your data is secure and implement advanced data governance and compliance management.
  • Scalability: MySQL can handle large data volumes without affecting performance. This makes it a perfect solution for expanding businesses with growing Airtable data.
  • Data Science and Machine Learning: By having Airtable data in MySQL, you can apply machine learning models to your data for predictive analytics, customer segmentation, and other purposes.
  • Reporting and Visualization: Airtable provides reporting tools, but MySQL can connect to data visualization tools like Tableau, PowerBI, and Looker (Google Data Studio). This integration offers more advanced business intelligence options. If you need to convert an Airtable table to a MySQL table, Airbyte can do it automatically.


You have learned how to export tables from Airtable in CSV format and import them into MySQL tables using LOAD DATA LOCAL. With this technique, you can safely integrate data from Airtable with your MySQL DB.

While this process allows you to move Airtable data to MySQL, it’s extremely time-consuming and it doesn’t support exporting attachments. To make things easier for you Hevo comes into the picture.

visit our website to explore hevo

Hevo can help you integrate your data from numerous sources and load them into a destination to analyze real-time data with a BI tool such as Tableau. It will make your life easier and data migration hassle-free. It is user-friendly, reliable, and secure. Check out the Hevo pricing details here.

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Software Developer, Hevo Data

Talha is a seasoned Software Developer, currently driving advancements in data integration at Hevo Data, where he have been instrumental in shaping a cutting-edge data integration platform for the past four years. With a significant tenure at Flipkart prior to their current role, he brought innovative solutions to the space of data connectivity and software development.

Associate Customer Experience Engineer

With around a year of experience, Madan has demonstrated expertise in customer experience management and issue resolution. His contributions to Hevo have significantly enhanced customer satisfaction by providing detailed resolutions to queries and effectively resolving issues, thereby benefiting the company's operations and client relations.

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