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Export from Airtable to BigQuery
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 BigQuery. 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
BigQuery
v3.5.3
Official
BigQuery
The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudqueryStep 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: ["bigquery"]
# 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 BigQuery destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: bigquery
path: cloudquery/bigquery
registry: cloudquery
version: "v3.5.3"
write_mode: "append"
spec:
project_id: ${PROJECT_ID}
dataset_id: ${DATASET_ID}
# Optional parameters
# dataset_location: ""
# time_partitioning: none # options: "none", "hour", "day"
# service_account_key_json: ""
# endpoint: ""
# batch_size: 10000
# batch_size_bytes: 5242880 # 5 MiB
# batch_timeout: 10sStep 4. Run Sync
cloudquery sync airtable.yml bigquery.yml