Amazon S3 integration for Dimension Labs
If your systems drop files of conversations into an S3 bucket (a nightly export, a vendor's data dump), you can send them to Dimension Labs from there. A scheduled job on your side lists the files that are new since its last run, reads each one, and posts every row as a message to the universal API. Files can be CSV or JSONL (one JSON object per line).
- Platform
- Amazon S3
- Type
- Databases and storage
- Connects by
- Universal API
- Setup
- 5 steps
- Guide checked
- 2026-10-26, against AWS's and csv-parse's documentation
Every Amazon S3 message, in the same shape as everything else.
Each record lands in the Dimension Labs conversation format, so Dimensions, reports and the agent work the same way as for every other source.
body text Skip rows where it is empty. Strip HTML if bodies are HTML.
customer_id userId If it is empty, use the sessionId.
sender_type incoming true only when the customer wrote it. Agent and bot rows are false.
conversation_id sessionId Replace any colons.
conversation_id conversationId Same value as sessionId.
sent_at dimensionlabs_timestamp Pass it through toMillis.
message_id, channel, the file's key platformJson Add any join keys you have, such as an account or store id.
5 steps. Then it runs on its own.
A small job on your side reads Amazon S3 through its API and posts each message to the Dimension Labs universal API. The guide gives the steps, the field mapping and the code. Run the job once for history, then every 15 minutes. A live source is enriched automatically every day; history is enriched with a backfill.
Open the full Amazon S3 guide ›- 01Get access
- 02List new files
- 03Map the columns
- 04Send it
- 05Run it
What you need
- An AWS role that can create IAM roles and policies.
- An IAM role for the job, such as a Lambda execution role, or an IAM user's access key for a job that runs outside AWS.
- A Dimension Labs API key for a new Universal API source.
[03] What you can ask
Questions teams answer with Amazon S3 data.
- What do customers say before a refund?
- Which accounts are describing the same problem?
- What changed after the release?
Amazon S3 integration questions
Does Dimension Labs integrate with Amazon S3?
Yes. A small job on your side reads Amazon S3 through its API and posts each message to the Dimension Labs universal API. The guide gives the steps, the field mapping and the code. The setup guide was checked against AWS's and csv-parse's documentation on 2026-10-26.
What Amazon S3 data does Dimension Labs bring in?
If your systems drop files of conversations into an S3 bucket (a nightly export, a vendor's data dump), you can send them to Dimension Labs from there. A scheduled job on your side lists the files that are new since its last run, reads each one, and posts every row as a message to the universal API. Files can be CSV or JSONL (one JSON object per line).
What do I need to connect Amazon S3?
An AWS role that can create IAM roles and policies. An IAM role for the job, such as a Lambda execution role, or an IAM user's access key for a job that runs outside AWS. A Dimension Labs API key for a new Universal API source.
How often does Amazon S3 data update?
Run the job once for history, then every 15 minutes. A live source is enriched automatically every day; history is enriched with a backfill.
Can I connect a platform that is not Amazon S3?
Yes. Any platform with an API connects through the same universal API, and any tool with an export button works as a file upload. The integrations page lists the platforms with a written guide.
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