Configuring Hotmart as a Source
In the Sources tab, click on the “Add source” button located on the top right of your screen. Then, select the Hotmart option from the list of connectors. Click Next and you’ll be prompted to add your access.1. Add account access
You’ll need your Hotmart API credentials for this connection. You can obtain these from the Hotmart Developer Portal (check official docs). Once you have them, add the following credentials:- Client ID: The client ID to authenticate against the API service.
- Client secret: The client secret to authenticate against the API service.
- Token: The basic token to authenticate against the API service. You should pass only the token value without the
Basicprefix. - Members area subdomain: The subdomain of your member’s area. It can be extracted from your
hotmart.com/club/{subdomain}. TheStudentsstream is only available when this field is filled in. - Start date: Records created or updated after the start date will be extracted from the source.
365 days and only needs to be reduced (e.g. 30 or 15) if you keep hitting timeout errors on the corresponding streams:
- Sales window (days): Number of days per request window for the
Sales History,Sales CommissionandSales Participantsstreams. - Price details window (days): Number of days per request window for the
Price Detailsstream. - Subscription window (days): Number of days per request window for the
SubscriptionsandSubscription Transactionsstreams.
2. Select streams
Choose which data streams you want to sync - you can select all streams or pick specific ones that matter most to you. The available streams include sales history, subscriptions, products, and more.Tip: The stream can be found more easily by typing its name.Select the streams and click Next.
3. Configure data streams
Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a folder to organize it inside the layer, a name for each table (which will effectively contain the fetched data) and the type of sync.- Layer: choose between the existing layers on your catalog. This is where you will find your new extracted tables as the extraction runs successfully.
- Folder: a folder can be created inside the selected layer to group all tables being created from this new data source.
- Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
- Sync Type: you can choose between INCREMENTAL and FULL_TABLE.
- Incremental: every time the extraction happens, we’ll get only the new data - which is good if, for example, you want to keep every record ever fetched.
- Full table: every time the extraction happens, we’ll get the current state of the data - which is good if, for example, you don’t want to have deleted data in your catalog.
4. Configure data source
Describe your data source for easy identification within your organization, not exceeding 140 characters. To define your Trigger, consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times). Optionally, you can define some additional settings:- Configure Delta Log Retention and determine for how long we should store old states of this table as it gets updated. Read more about this resource here.
- Determine when to execute an Additional Full Sync. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while.
5. Check your new source
You can view your new source on the Sources page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.Streams and Fields
Below you’ll find all available data streams from Hotmart and their corresponding fields. Date fields are delivered as the Hotmart API returns them: integer epoch timestamps in milliseconds.Sales History
Sales History
Stream containing historical sales data from your Hotmart products.Key Fields:
Subscriptions
Subscriptions
Stream containing information about recurring subscriptions.Key Fields:
Subscription Transactions
Subscription Transactions
Stream containing transaction history for subscriptions.Key Fields:
Sales Commission
Sales Commission
Stream containing commission information for sales.Key Fields:
Sales Participants
Sales Participants
Stream containing information about participants in sales transactions.Key Fields:
Price Details
Price Details
Stream containing detailed pricing information for products.Key Fields:
Products
Products
Stream containing information about your Hotmart products.Key Fields:
Coupons
Coupons
Stream containing the discount coupons configured for each of your products. Coupons are fetched per product, so this stream depends on the
Products stream.Key Fields:Students
Students
Stream containing information about students enrolled in your products. This stream is only available when the Members area subdomain is configured.Key Fields:
Implementation Notes
API Pagination & Limits
- Windowed Pagination: To prevent timeouts and improve reliability when extracting large amounts of historical data, the date-filtered streams (
Sales History,Sales Commission,Sales Participants,Subscriptions,Subscription TransactionsandPrice Details) utilize windowed pagination. The connector requests data in yearly (365-day) blocks starting from your configuredStart Dateup to the current date. The block size of each stream group can be changed through the Sales window, Price details window and Subscription window advanced settings. - Automatic Window Shrinking (504 Gateway Timeout handling): The Hotmart API can return
504 Gateway Timeouterrors when a single window holds too much data. When that happens on any of the windowed streams above, the connector automatically halves the current extraction window (e.g. 365 → 182 → 91 → 45 → 30 days), rebuilds the request for the same period and retries. The reduced window is kept for the rest of the run. Only when the window is already at the minimum of 30 days and the API still times out does the stream fail, with a message pointing to the corresponding window setting. - Rate Limiting: Requests are throttled to the Hotmart API limit and, when a
429 Too Many Requestsresponse is received, the connector waits for the period indicated by the API before retrying automatically.
Skills for agents
Download Hotmart skills file
Hotmart connector documentation as plain markdown, for use in AI agent contexts.