Export from Airtable to PostgreSQL

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Airtable plugin allows you to sync data from Airtable to any destination, including PostgreSQL. It's free, open source, requires no account, and takes only minutes to get started.

Ready? Let's dive right in!

Step 1. Install the CloudQuery CLI

The CloudQuery CLI is a command-line tool that runs the sync. It supports MacOS, Linux and Windows.

brew install cloudquery/tap/cloudquery

Step 2. Configure the Airtable source plugin

Create a configuration file for the Airtable plugin and set up authentication.

Configuration

Create a file called airtable.yaml and add the following contents:

kind: source
# Common source-plugin configuration
spec:
  name: airtable
  registry: docker
  path: ghcr.io/cloudquery/cq-source-airtable:v1.1.2
  tables: ["*"]
  destinations: ["postgresql"]
  # airtable-specific configuration
  spec:
    access_token: "${AIRTABLE_ACCESS_TOKEN}" # required
    # endpoint_url: "https://api.airtable.com" # Optional, defaults to `https://api.airtable.com`
    # concurrency: 10000 # Optional, defaults to `10000`

This example uses environment variable expansion to read the token from an AIRTABLE_ACCESS_TOKEN environment variable. You can also hardcode the value in the configuration file, but this is not advised for production settings.

Fine-tune this configuration to match your needs. For more information, see the Airtable Plugin ↗ page in the docs.

Authentication

In order to fetch information from Airtable, cloudquery needs to authenticate using a personal access token for Airtable's API (opens in a new tab). Follow the instructions on the Airtable website and create a read-only token with data.records:read and schema.bases:read scopes.

Step 3. Configure the PostgreSQL destination plugin

Create a configuration file for the PostgreSQL plugin and set up authentication.

Configuration

Create a file called postgresql.yaml and add the following contents:

This example configures a Postgresql destination, located at localhost:5432:

kind: destination
spec:
  name: "postgresql"
  registry: "github"
  path: "cloudquery/postgresql"
  version: "v6.1.2"

  spec:
    connection_string: "postgresql://postgres:pass@localhost:5432/postgres?sslmode=disable"
    # can be also specified in DSN format which can hold special characters in password
    # connection_string: "user=postgres password=pass+0-[word host=localhost port=5432 dbname=postgres"
    # Optional parameters:
    # pgx_log_level: error
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 100000000 # 100 MB
    # batch_timeout: 60s

Fine-tune this configuration to match your needs. For more information, see the PostgreSQL Plugin ↗ page in the docs.

Step 4. Start the Sync

Run the following command in your terminal to start the sync

cloudquery sync airtable.yaml postgresql.yaml

And away we go! 🚀 The sync will run until completion, fetching all selected tables from Airtable. Any errors will be logged to a file called cloudquery.log.

Export from Airtable to PostgreSQL

Step 1. Install the CloudQuery CLI

Step 2. Configure the Airtable source plugin

Configuration

Authentication

Step 3. Configure the PostgreSQL destination plugin

Configuration

Step 4. Start the Sync

Further Reading