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Export from Airtable to Google Cloud Storage

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 Google Cloud Storage. It takes only minutes to get started.

Airtable
airtable
Official

Airtable

This plugin is in preview.

The CloudQuery Airtable plugin pulls data from Airtable and loads it into any supported CloudQuery destination

Publisher

cloudquery

Repositorygithub.com
Latest version

v2.2.4

Type

Source

Platforms
Date Published

gcs
Official

Google Cloud Storage

This destination plugin lets you sync data from a CloudQuery source to remote GCS (Google Cloud Storage) storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.1.4

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure Airtable source plugin

You can find more information about the configuration in the plugin documentation

kind: source
# Common source-plugin configuration
spec:
  name: airtable
  registry: docker
  path: docker.cloudquery.io/cloudquery/source-airtable:v2.2.4
  tables: ["*"]
  destinations: ["gcs"]
  # 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`

Step 4. Configure Google Cloud Storage destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "gcs"
  path: "cloudquery/gcs"
  registry: "cloudquery"
  version: "v5.1.4"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync airtable.yml gcs.yml

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