Airtable to Google Cloud Storage

Automatically Export & Sync Airtable Data to Google Cloud Storage

Airtable
a black arrow pointing to the right
Google Cloud Storage
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

All Records
Filterable
Records by View
Filterable

Información adicional

This service is designed to help anyone continuously export (i.e. "sync") bulk data from Airtable.

If you only need to export your data one time, check the website of Airtable to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Airtable.
Airtable is a low-code platform for building collaborative apps.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Looker Studio reads flat files directly from Google Cloud Storage.

Formatos de archivo

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow

Setup

Step 1

Select Airtable from the Data Source dropdown and Google Cloud Storage from the Data Destination dropdown.

Step 2

Authorize Airtable with your credentials using the flow.

Step 3

Authorize Google Cloud Storage with your credentials using the flow.

Step 4

Select your Data Set from the 2 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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