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    Move your data from Slack with your free account

    Capture data from Slack and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

    • <100ms to batch
    • 200+ connectors
    • Managed data pipelines
    Try it freeWatch Demo
    01. Move from Slack02. Transform in-flight03. Select a destination
    Slack logo
    take a tour
    Slack logo

    Slack connector details

    The Slack capture connector in Estuary captures workspace data from Slack through its APIs and loads each selected resource into an Estuary collection. It supports conversations, messages, users, files, threads, and related workspace data for downstream analytics, search, archiving, and other data workflows.

    • API-based data capture from Slack
    • Supports Channels (Conversations) and Channel Members
    • Captures Messages and Threads
    • Supports Users and User Groups
    • Captures Files and Remote Files
    • Separate Estuary collections for each selected Slack resource
    • Configurable start date to determine how far back Slack data is replicated
    • Configurable thread lookback window for retrieving historical thread messages
    • Option to automatically join available channels
    • Slack workspace or API-token authentication, with OAuth supported in connector configuration

    The start date determines the earliest Slack data Estuary will replicate, while the thread lookback window controls how far back the connector searches for messages in conversation threads. Each enabled Slack resource is mapped to a separate Estuary collection by default.

    For more details about the Slack connector, check out the documentation page.

    How to connect Slack to your destination in 3 easy steps

    1. 1

      Connect Slack as your data source

      Securely connect Slack and choose the objects, tables, or collections you need to sync.

    2. 2

      Prepare and transform your data

      Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

    3. 3

      Deliver to your destination

      Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

    Learn more with some related videos

    Dive deeper into Slack with tutorials and walkthroughs from our YouTube channel.

    Get Started Free

    Trusted by data teams worldwide

    All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

    4.8/5

    HIGH THROUGHPUT

    Distributed, event-driven architecture scales for demanding data workloads.

    DURABLE COLLECTIONS

    Store data as it moves so you can transform, replay, and deliver it downstream.

    FLEXIBLE LATENCY

    From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

    From <100ms to batch

    Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Slack using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

    • Connect Slack to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
    • Capture once and reuse Slack data across transformations and multiple downstream destinations without rebuilding source extraction.

    See where you can send Slack data:

    Details

    or choose from these popular destinations:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server logo
    SQL Server
    MongoDB logo
    MongoDB
    Apache Kafka logo
    Apache Kafka
    Google Bigquery logo
    Google Bigquery
    Snowflake logo
    Snowflake

    Don't see a connector?Request and our team will get back to you in 24 hours

    Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

    Feature Comparison

    EstuaryBatch ELT/ETLDIY PythonKafka
    Price$$$-$$$$$-$$$$$-$$$$
    Latency<100ms to scheduled5min+Varies<100ms
    EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
    Scale
    Maintenance EffortLowMediumHighHigh

    One platform for real-time and batch data pipelines

    Detailed Comparison

    Deliver real-time and batch data from DBs, SaaS, APIs, and more

    Build Free PipelineJoin Our Slack Community
    Connection-1

    Popular sources/destinations you can sync your data with

    Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.