Export from Slack to BigQuery

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

The CloudQuery Slack plugin allows you to sync data from Slack to any destination, including BigQuery. 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 Slack source plugin

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

Configuration

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

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

Authentication

Step 3. Configure the BigQuery destination plugin

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

Configuration

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

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

Authentication

Step 4. Start the Sync

Run the following command in your terminal to start the sync

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

Further Reading

Now that you've seen the basics of syncing Slack to BigQuery, you should know that there's a lot more you can do. Check out the CloudQuery Documentation, Source Code and How-to Guides for more details.