Data Overview
Coupler.io pulls three types of data from Slack: messages from channels or searches, channel metadata, and user profiles. Here's what's available in each entity.
Entities
Messages
Text content, timestamps, authors, and reactions for messages matching your search query
Channels
Channel names, IDs, member counts, topics, and creation dates
Users
User profiles including name, email, role, timezone, and status
Messages
Message fields
ts
Timestamp of the message (Unix format)
text
Full text content of the message
user
User ID of the message author
username
Display name of the author
channel
Channel where the message was posted
type
Message type (e.g., message)
permalink
Direct link to the message in Slack
reactions
Emoji reactions attached to the message
reply_count
Number of thread replies
attachments
Metadata about file attachments (not file content)
Coupler.io exports attachment metadata (file name, type, URL) but not the actual file content or images. Thread replies are not automatically included — use a focused search query to capture threaded messages.
Channels
Channel fields
id
Unique channel ID
name
Channel name
is_private
Whether the channel is private
num_members
Current member count
topic
Channel topic text
purpose
Channel purpose/description
created
Channel creation timestamp
is_archived
Whether the channel is archived
Users
User fields
id
Unique user ID
name
Slack username (handle)
real_name
Full display name
email
User email address
is_admin
Whether the user is a workspace admin
is_bot
Whether the user is a bot account
tz
User's timezone
title
Job title from profile
status_text
Current status message
deleted
Whether the account has been deactivated
Common field combinations
Message activity dashboard:
channel,username,ts,text,reply_count,reactionsChannel health report:
name,num_members,topic,is_archived,createdTeam directory:
real_name,email,title,tz,is_admin,is_botBot vs. human breakdown:
is_bot,name,deletedfrom the Users entity
Use cases by role
Export messages from project channels to review discussion history or create searchable archives.
Track reply counts and reactions to identify high-engagement messages or team blockers.
Use the Append transformation to combine messages from multiple channels into a single report.
Pull the Users entity to maintain an up-to-date team directory in Google Sheets.
Filter out bot accounts using the
is_botfield to get accurate headcount numbers.Join Users data with HR system exports to cross-reference Slack handles with employee records.
Use message timestamps and channel data to analyze communication volume over time.
Send Slack conversation exports to ChatGPT or Claude for AI-powered summarization or sentiment tagging.
Aggregate message counts by channel or user to build activity dashboards in Looker Studio or BigQuery.
Platform-specific notes
The Messages entity requires a User OAuth token — bot tokens do not support
search:readand will not return message data.Slack's search API returns results in relevance order by default; use modifiers like
before:andafter:with the date picker to define time ranges.Private channel messages are only accessible if the token owner is a member of that channel.
Bot-posted messages may not appear in search results depending on how the bot posted them (e.g., using
chat.postMessagevs. webhooks).The
attachmentsfield contains link and metadata information — Coupler.io does not download or store actual files or images from Slack.
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