How to Import Adalo Users to Airtable

In this guide, we'll import Adalo users to Airtable. We'll use the Data Fetcher Airtable app to connect to Adalo and automatically import a list of all users with their attributes such as name, email and phone number.

Install Data Fetcher

Install Data Fetcher from the Airtable app marketplace. After the app launches, sign up for a free Data Fetcher account by entering a password and clicking 'Sign up for free'.

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Import Adalo Users to Airtable

On the home screen of the Data Fetcher app, click 'Create your first request'. Requests in Data Fetcher are how you import data to or send data from your Airtable base.


On the create request screen in Data Fetcher, for Application, select 'Adalo'.


Next you need to add your Adalo API key. To find this, in Adalo, click on the settings icon in the left nav, then click 'App Access' and click 'Generate API Key' if you do not have a key already. Copy your Adalo API key.


Enter this key into the API Key input in Data Fetcher.

For Endpoint, select 'Get all records in a database collection (e.g. Users)'.

Enter a Name for your request, e.g. 'Import Adalo Users'. Then click 'Save & Continue'.


Open the 'Database' menu in Adalo. Then click on the '# Records' button next to 'Users'. Copy the browser's URL into the Collection URL field in Data Fetcher.



Select the Output Table & View you want to import Adalo users into.


Click 'Save & Run'.


The request will run and the Response field mapping modal will open. This is where you set how the fields from Adalo should map to fields in the output table. For each Adalo user field (e.g. 'Full name', 'email' & 'Phone number') you can either import or filter it. For an imported field, you can set whether to map them to an existing field or create a new field.

Make sure you import the 'Id' field, as we will use this to ensure the users we import into Airtable are kept in sync with any changes in Adalo. Import any other fields you want. Then click 'Save & Run'.


Data Fetcher will create any fields that need to be created in the output table, then run the request and import the users from Adalo to Airtable. Adalo has a limit of 100 users per run, so Data Fetcher may need multiple runs in order to import all users.


Finally, we want to ensure Data Fetcher can match up users in Adalo with records in Airtable, even if we move those records around. To do this, click 'Advanced settings' to open the advanced output settings. Then for Update Based on Field, select 'Id'. Then click 'Save'.


Import Adalo Users Automatically

At the moment, we have to manually run the request to import the users from Adalo. We can use Data Fetcher's scheduled requests feature to automatically import them every 15 minutes/ hour/ day etc.

In Data Fetcher, scroll to Schedule and click 'Upgrade'.


A new tab will open where you can select a plan and enter your payment details to upgrade.

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Return to the Data Fetcher app and click "I've done this".


Click 'Add API key' in order to add your Airtable API key. You can find your Airtable API key here.

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Enter your Airtable API key and click 'Save'.


Enable Schedule this request.


Select how often you want the request to run, e.g. 'Every 15 mins'. Click 'Save' The request will now run on the schedule and import the users from Adalo automatically.

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