In this guide, we'll import Adalo collection records to Airtable. We'll use the Data Fetcher Airtable extension to connect to the Adalo API. Then we'll schedule the Airtable Adalo integration to import the collection records automatically.
Install Data Fetcher from the Airtable marketplace. After the extension launches, sign up for a free Data Fetcher account by entering a password and clicking 'Sign up for free'.
On the home screen of the Data Fetcher extension, 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' to use the Airtable Adalo integration.
Next, you need to enter your Adalo API key. To find it, go to your Adalo app, click on the settings icon in the left-hand navigation bar, click 'App Access' and click 'Generate API Key' if you need to. Then copy your Adalo API key.
Enter the Adalo API key you copied into the API Key input in Data Fetcher.
For Endpoint, select 'Get all records in a database collection (e.g. Users)'.
Enter a suitable Name for your request, e.g. 'Import Adalo Records'. Then click 'Save & Continue'.
Open the 'Database' menu in Adalo. Then click on the '# Records' button next to the collection you want to import. Copy the browser's URL into the Collection URL field in Data Fetcher.
Select the Output Table & View you want to import the Adalo collection records 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 your Adalo collection records should map to the fields in the Airtable output table. For each Adalo collection field, 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 records 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 collection records from Adalo to Airtable. Adalo has a limit of 100 collection records per run, so Data Fetcher may need multiple runs in order to import all collection records.
Finally, we want to ensure Data Fetcher can match up collection records in Adalo with records in Airtable, even if we move those records around in Airtable. To do this, click 'Advanced settings' to open the advanced output settings. Then for Update Based on Field, select 'Id'. Then click 'Save'.
At the moment, we have to manually run the request to import the collection records from Adalo. We can use Data Fetcher's scheduled Airtable Adalo integration to automatically import them.
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.
Return to the Data Fetcher extension and click 'I've done this'.
Under Schedule click '+ Authorize'.
A window will now open where you'll be prompted to authorize the Airtable bases you wish Data Fetcher to have access to.
By selecting 'All current and future bases in all current and future workspaces' you won't need to unauthorize other bases for future use (this is recommended).
Click 'Grant access'.
Back in Data Fetcher, Schedule this request will now be switched on.
Select how often you want the Airtable Adalo integration to run, e.g. 'Every 15 mins'. Click 'Save' The request will now run on the schedule and import the collection records from Adalo automatically.