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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
v2.2.0
Official
Airtable
This plugin is in preview.
The CloudQuery Airtable plugin pulls data from Airtable and loads it into any supported CloudQuery destination
Google Cloud Storage
v4.0.1
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
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. 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:v2.2.0
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 3. 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: "v4.0.1"
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 4. Run Sync
cloudquery sync airtable.yml gcs.yml