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Export from Airtable to Kafka
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 Kafka. 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
Kafka
v3.3.9
Official
Kafka
This plugin is in preview.
This destination plugin lets you sync data from a CloudQuery source to Kafka in various formats such as CSV, JSON. Each table will be pushed to a separate topic
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: ["kafka"]
# airtable-specific configuration
spec:
access_token: "${AIRTABLE_ACCESS_TOKEN}" # required
# endpoint_url: "https://api.airtable.com" # Optional, defaults to `https://api.airtable.com`
# concurrency: 10000 # Optional, defaults to `10000`Step 3. Configure Kafka destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "kafka"
path: "cloudquery/kafka"
registry: "cloudquery"
version: "v3.3.9"
write_mode: "append"
spec:
# required - list of brokers to connect to
brokers: ["<broker-host>:<broker-port>"]
# optional - if connecting via SASL/PLAIN, the username and password to use. If not set, no authentication will be used.
sasl_username: "${KAFKA_SASL_USERNAME}"
sasl_password: "${KAFKA_SASL_PASSWORD}"
format: "json" # options: parquet, json, csv
format_spec:
# CSV-specific parameters:
# delimiter: ","
# skip_header: false
# Optional parameters
# compression: "" # options: gzip
# client_id: cq-destination-kafka
# verbose: false
# batch_size: 1000Step 4. Run Sync
cloudquery sync airtable.yml kafka.yml