Slack

Slack is a team messaging platform used for real-time communication, project collaboration, and internal announcements. With Coupler.io, you can pull Slack data — messages, channels, and users — into spreadsheets, databases, or AI tools for analysis and reporting.

Why connect Slack to Coupler.io?

• Audit and archive messages by exporting channel conversations to Google Sheets, Excel, or BigQuery on a schedule.

• Track team activity by analyzing message volume, user participation, and channel growth over time.

• Combine Slack data with other sources using Join or Append transformations — for example, match users to HR data or append messages from multiple channels.

• Feed Slack data to AI tools like ChatGPT, Claude, or Gemini to summarize conversations, classify messages, or surface insights.

Prerequisites

• A Slack account with access to the workspace you want to export.

• A Slack API token (User OAuth Token or Bot Token) with the appropriate scopes: channels:read, channels:history, users:read, and search:read for message search.

• Admin or member access to the channels you want to pull data from.

Slack's search:read scope is required for the Messages entity. Bot tokens do not support search:read — you need a User token to export messages.

Quick start

Start with the Messages entity and a simple search query like in:#general to validate your connection before setting up more complex exports.

1

Create a new data flow in Coupler.io. Log in to your Coupler.io account, go to the Data Flows section, and click Add data flow. Choose Slack as your source.

2

Enter your Slack API token. In the source settings, paste your Slack User OAuth Token into the API token field. You can generate this token in your Slack app configuration at api.slack.com under OAuth & Permissions.

3

Select an entity. Choose one of the available entities: Messages, Channels, or Users.

4

Set a search query (Messages only). If you selected Messages, enter a search query to filter which messages to pull. Use Slack search modifiers like in:#channel-name or from:@username to narrow results. This field is required for the Messages entity.

5

Choose your destination. Select where you want the data to go — Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination like ChatGPT or Claude.

6

Run your data flow. Click Run to execute the data flow manually. Review the results in your destination to confirm the data looks correct.

Available entities

Entity	Description
Messages	Exported messages matching a Slack search query (requires a User token)
Channels	List of public channels in your workspace, including metadata
Users	List of workspace members with profile and account details