Data replication

Sync Slack data anywhere.

Slack is an enterprise software platform that facilitates global communication between all sizes of businesses and teams. Slack enables collaborative work to be more efficient and more productive, making it possible for businesses to connect with immediacy from half a world apart. It allows teams to work together in concert, almost as if they were in the same room. Slack transforms the process of communication, bringing it into the 21st century with powerful style.

  • Certified
  • Generally available
  • 5 streams
  • 16 entities
  • Read & write
Slack

Everything Slack can do in Airbyte

  • Sync to your warehouse

    Land 5 Slack tables in 50+ destinations on a schedule you control.

  • Live entity actions

    Read, create, update and delete Slack records at runtime through typed entity actions.

  • Context store search

    Query synced Slack data with filters, sorting and semantic search, without spending Slack API rate limits.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

What to know before you sync Slack

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version3.2.18
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • NamespacesNot supported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. First, navigate to the Slack source connector page on Airbyte.com.
  2. Click on the "Add Source" button to begin the process of adding your Slack credentials.
  3. In the "Connection Configuration" section, enter a name for your Slack connection.
  4. Next, enter your Slack workspace's API token in the "API Token" field. You can generate an API token by following the instructions in the Airbyte documentation.
  5. In the "Channels" field, enter the names of the Slack channels you want to sync data from. You can enter multiple channels by separating them with commas.
  6. If you want to filter the data that is synced from Slack, you can enter a date range in the "Start Date" and "End Date" fields.
  7. Once you have entered all the necessary information, click on the "Test" button to ensure that your credentials are valid and that Airbyte can connect to your Slack workspace.
  8. If the test is successful, click on the "Save & Continue" button to save your Slack connection.
  9. You can now use your Slack source connector to sync data from your Slack workspace to your destination of choice.

Every table you can sync from Slack

  • Channels (Conversations)

  • Channel Members (Conversation Members)

  • Messages (Conversation History)

  • Users

  • Threads (Conversation Replies)

Supported Slack actions

  • List

    Read live records straight from the Slack API.

  • Get

    Fetch a single record by ID.

  • Context Store Search

    Query synced data with filters and sorting, with no API rate limits.

  • Create

    Write a new record back into Slack.

  • Update

    Patch fields on an existing record.

  • Semantic Search

    Natural-language search across synced Slack records.

  • Delete

    Remove a record.

Full parameter-level details live in the Slack entity reference.

Authenticate Slack once

    • Recommended

    Sign in via Slack (OAuth)

  • Bot Token

What teams build with Slack

List all users in my Slack workspace

Show me all public channels

List members of a public channel

Show me recent messages in a public channel

Show me thread replies for a recent message

List all channels I have access to

Show me user details for a workspace member

List channel members for a public channel

Send a message to a channel saying 'Hello team!'

Post a message in the general channel

Update the most recent message in a channel

Create a new public channel called 'project-updates'

Create a private channel named 'team-internal'

Rename a channel to 'new-channel-name'

Set the topic for a channel to 'Daily standup notes'

Update the purpose of a channel

Add a thumbsup reaction to the latest message in a channel

React with :rocket: to the latest message in a channel

Reply to a recent thread with 'Thanks for the update!'

Invite a user to a channel

Add a team member to the #project-updates channel

Send an ephemeral message to a user in a channel

Whisper a private reminder to a user in #general

Schedule a message in a channel for tomorrow at 9am

Send a reminder to a channel at 5pm today

Delete the bot's last message in a channel

Remove the :thumbsup: reaction from a message

Archive the #old-project channel

Remove a user from the #team channel

Pin the latest important message in a channel

Add a bookmark link to a channel

Join the #announcements channel

Have the bot join a public channel

What messages were posted in channel channel_id last week?

Show me the conversation history for channel channel_id

Search for messages mentioning keyword in channel channel_id

Common questions

Didn't find your answer?
Please don't hesitate to reach out.

Talk to sales

No. One Slack authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.

No. Entity actions read and write through the Slack API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Slack's API provides access to a wide range of data, including:

1. Conversations: This includes information about channels, direct messages, and group messages.

2. Users: This includes information about individual users, such as their name, email address, and profile picture.

3. Files: This includes information about files uploaded to Slack, such as their name, size, and type.

4. Apps: This includes information about the apps installed in Slack, such as their name, description, and permissions.

5. Messages: This includes information about individual messages, such as their text, timestamp, and author.

6. Events: This includes information about events that occur in Slack, such as when a user joins or leaves a channel.

7. Workflows: This includes information about workflows created in Slack, such as their name, description, and status.

8. Analytics: This includes information about how users are interacting with Slack, such as the number of messages sent and received, and the most active channels.

1. First, navigate to the Slack source connector page on Airbyte.com.

2. Click on the "Add Source" button to begin the process of adding your Slack credentials.

3. In the "Connection Configuration" section, enter a name for your Slack connection.

4. Next, enter your Slack workspace's API token in the "API Token" field. You can generate an API token by following the instructions in the Airbyte documentation.

5. In the "Channels" field, enter the names of the Slack channels you want to sync data from. You can enter multiple channels by separating them with commas.

6. If you want to filter the data that is synced from Slack, you can enter a date range in the "Start Date" and "End Date" fields.

7. Once you have entered all the necessary information, click on the "Test" button to ensure that your credentials are valid and that Airbyte can connect to your Slack workspace.

8. If the test is successful, click on the "Save & Continue" button to save your Slack connection.

9. You can now use your Slack source connector to sync data from your Slack workspace to your destination of choice.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Slack data today

Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Slack actions.