How to work around Microsoft Graph API limitations when exporting large Teams chat histories?

Saad Alladmahi 120 Reputation points
2025-11-28T09:15:40.9533333+00:00

Is it possible to use Microsoft Graph to export full chat histories from Microsoft Teams for an internal archiving tool, but I’m running into several API limitations. The /chats/{id}/messages and /teams/{teamId}/channels/{channelId}/messages endpoints only return a limited portion of the history at a time, and pagination seems to stop before reaching older messages.

I also noticed that certain message types (reactions, edits, system events) are not consistently included in the response.

Microsoft 365 and Office | Development | Other
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  1. Michelle-N 9,005 Reputation points Microsoft External Staff Moderator
    2025-11-28T10:42:09.0566667+00:00

    Hi @Saad Alladmahi

    Thank you for posting your question in the Microsoft Q&A forum. 

    Based on the information you described, I understand that you are trying to build an internal archiving tool by exporting full Teams chat histories via Microsoft Graph. However, you are hitting roadblocks where pagination stops prematurely (preventing access to older messages) and specific data types like reactions and system events are missing.

    After researching your issue, here is some insight into why this is happening and the recommended solution:

    -The endpoints you are using (/chats/{id}/messages and /teams/{teamId}/channels/{channelId}/messages) are for interactive use (like a user scrolling through a chat), not for bulk archival.

    • Pagination Limits: While these endpoints use server-side paging (providing an @odata.nextLink), they are subject to strict throttling and performance limits. If you request too much data or go back too far, the API may cut off the pagination to preserve service stability.
    • Delta Query Limitations: Even if you use delta queries (/users/{id}/chats/getAllMessages/delta), they typically only retrieve data from the last ~8 months. To get history older than that, you would need a full read first, which brings you back to the pagination issues of the standard endpoints.
    • Missing Metadata: Standard endpoints focus on the main message body. Reactions, edits, and system events often require specific configurations or properties (like hostedContents) that aren't consistently returned in standard GET requests to avoid payload bloat.

    For your specific use case (archiving and compliance), Microsoft provides the Teams Export APIs. These are specifically designed to handle bulk data extraction without the limitations you are facing.

    • Bulk Export: It supports exporting messages from 1:1 chats, group chats, meetings, and public channels.
    • Granular Data: It includes message properties that standard endpoints often miss, such as reactions, attachments, and even deleted messages (accessible for up to 21 days after deletion).
    • Performance: It allows for high-throughput access (Microsoft recommends setting TOP to 250 records per call for optimal performance).

    Please note that the Teams Export APIs are protected APIs. They usually require specific licenses (such as Microsoft 365 Compliance) or are subject to metered billing (Model B) through an Azure subscription.

    You can find more details in the official documentation here: Export content with the Microsoft Teams Export APIs

    I hope this information helps you resolve the issue!


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  1. Q&A Assist
    2025-11-28T09:15:55.99+00:00
    AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more

    To work around the limitations of the Microsoft Graph API when exporting large Teams chat histories, consider the following strategies:

    1. Use Pagination: The /chats/{id}/messages and /teams/{teamId}/channels/{channelId}/messages endpoints support pagination. Ensure you are correctly handling the @odata.nextLink property in the response, which provides the URL to fetch the next page of results. You may need to loop through the pages until there are no more links available.
    2. Batch Requests: If you are retrieving messages for multiple chats or channels, consider batching your requests to minimize the number of API calls and improve efficiency. This can help you manage the rate limits more effectively.
    3. Utilize Delta Queries: For ongoing synchronization, use delta queries to track changes in messages over time. This can help you capture new messages without having to re-fetch the entire chat history repeatedly.
    4. Check for Message Types: Be aware that certain message types, such as reactions, edits, and system events, may not be included in the responses consistently. To ensure you capture all relevant data, you may need to implement additional logic to handle these cases, possibly by using other APIs or methods to retrieve this information.
    5. Consider Export APIs: If your organization requires exporting Teams messages for compliance or archiving, explore the Teams Export APIs, which are specifically designed for this purpose and may provide a more comprehensive solution for exporting chat data.

    By implementing these strategies, you should be able to navigate the limitations of the Microsoft Graph API more effectively when exporting Teams chat histories for your internal archiving tool.


    References:

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