Connectors

/

Airtable

Data replication

Sync Airtable data anywhere.

Airtable is a cloud collaboration service.

  • Certified
  • Generally available
Sync Airtable dataRead the docs
Airtable

One connector

Everything Airtable can do in Airbyte

  • Sync to your warehouse

    Land Airtable data in 50+ destinations on a schedule you control.

    Sync to your warehouse

    Land Airtable data in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate Airtable once and Airbyte keeps every scheduled sync running on it.

    One authorization

    Authenticate Airtable once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Airtable connector on Cloud, Self-Managed Enterprise.

    Cloud or self-hosted

    Run the Airtable connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Airtable

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version4.6.40
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. Open the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
  2. Click on the "New Source" button in the top right corner of the screen.
  3. Select "Airtable" from the list of available sources.
  4. Enter a name for your Airtable source connector.
  5. Enter your Airtable API key in the "API Key" field. You can find your API key by logging into your Airtable account and navigating to the "Account" section of your profile.
  6. Enter the base ID of the Airtable base you want to connect to in the "Base ID" field. You can find the base ID by navigating to the "Help" menu in your Airtable base and selecting "API documentation."
  7. Click the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Airtable base.
  8. If the test is successful, click the "Create" button to save your Airtable source connector.
  9. You can now use your Airtable source connector to create a new Airbyte pipeline and start syncing data from your Airtable base to your destination of choice.

Authentication

Authenticate Airtable once

    • Recommended

    OAuth2.0

  • Personal Access Token

Explore

Related connectors

AkeneoFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Alpaca Broker APIFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Alpha VantageFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Amazon Seller PartnerFinance & Ops AnalyticsCertified Sources cloudself-managed-enterprise
AsanaFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
BambooHRFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
All connectors

Common questions

Didn't find your answer?
Please don't hesitate to reach out.

Talk to sales

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Airtable's API provides access to a wide range of data types, including:
‍
1. Tables: The primary data structure in Airtable, tables contain records and fields.
2. Records: Each row in a table is a record, which contains data for each field.
3. Fields: Each column in a table is a field, which can contain various data types such as text, numbers, dates, attachments, and more.
4. Views: Airtable allows users to create different views of their data, such as grid view, calendar view, and gallery view.
5. Forms: Airtable also allows users to create forms to collect data from external sources.
6. Attachments: Users can attach files to records, such as images, documents, and videos.
7. Collaborators: Airtable allows users to collaborate with others on their data, with different levels of access and permissions.
8. Metadata: Airtable's API also provides access to metadata about tables, fields, and records, such as creation and modification dates.

Overall, Airtable's API provides a comprehensive set of data types and features for users to manage and manipulate their data in a flexible and customizable way.

1. Open the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "New Source" button in the top right corner of the screen.
3. Select "Airtable" from the list of available sources.
4. Enter a name for your Airtable source connector.
5. Enter your Airtable API key in the "API Key" field. You can find your API key by logging into your Airtable account and navigating to the "Account" section of your profile.
6. Enter the base ID of the Airtable base you want to connect to in the "Base ID" field. You can find the base ID by navigating to the "Help" menu in your Airtable base and selecting "API documentation."
7. Click the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Airtable base.
8. If the test is successful, click the "Create" button to save your Airtable source connector.
9. You can now use your Airtable source connector to create a new Airbyte pipeline and start syncing data from your Airtable base to your destination of choice.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Airtable data today

Free for 14 days on Airbyte Cloud. Set up the Airtable connector once and let Airbyte keep it in sync.

Try it freeTalk to sales