tap-hotmart

A Singer tap for the Hotmart API, built with the Meltano Singer SDK.

Extracts sales, subscriptions, commissions, and product data from Hotmart and delivers it as a standard Singer stream — ready to load into any data warehouse (Postgres, BigQuery, Snowflake, etc.) or consumed by any Singer-compatible target.

Relationship with hotmart-python

This tap is built on top of hotmart-python, a Python SDK for the Hotmart API maintained by the same author. Both projects are developed in tandem:

• hotmart-python handles authentication, pagination, retry, rate limiting, and API model definitions
• tap-hotmart handles Singer protocol compliance: schema emission, incremental state, and record extraction

Whenever hotmart-python adds support for a new Hotmart API endpoint or model, a corresponding stream is added here. The two projects share the same release cadence.

Streams

Notes:

• transactions and subscriptions are incremental: on each run, only records newer than the last bookmark are fetched.
• commissions is full table because the Hotmart API does not expose a date field in commission responses, making reliable incremental extraction impossible. It is re-fetched in full on every run.
• All incremental streams use automatic date chunking (30-day windows) to stay within Hotmart's per-request date range limits, so any start_date works without manual configuration.

Requirements

• Python 3.11+
• A Hotmart account with API access enabled
• API credentials from the Hotmart Developer Portal

Installation

pip install tap-hotmart

Configuration

Create a config.json file:

{
  "client_id": "your-client-id",
  "client_secret": "your-client-secret",
  "basic": "Basic <your-base64-token>",
  "start_date": "2021-01-01T00:00:00Z",
  "sandbox": false
}

Note: The basic token is the Base64 encoding of client_id:client_secret. The Hotmart Developer Portal shows this value ready to copy — it starts with Basic .

Usage

# Discover available streams
tap-hotmart --config config.json --discover

# Sync all streams to stdout
tap-hotmart --config config.json

# Pipe to a Singer target
tap-hotmart --config config.json | target-jsonl --config target-config.json

# Incremental run with state
tap-hotmart --config config.json --state state.json \
  | target-postgres --config target-config.json \
  | tail -1 > state.json

Usage with Meltano

meltano add extractor tap-hotmart --variant im-voracity
meltano config tap-hotmart set client_id "your-client-id"
meltano config tap-hotmart set client_secret "your-client-secret"
meltano config tap-hotmart set basic "Basic <your-base64-token>"
meltano config tap-hotmart set start_date "2021-01-01T00:00:00Z"

meltano run tap-hotmart <your-target>

Development

git clone https://github.com/im-voracity/tap-hotmart
cd tap-hotmart
uv sync
uv run pytest tests/
uv run ruff check .
uv run mypy tap_hotmart/

To run tests against the live API, add a config.json with real credentials at the repo root. The test suite detects it automatically and runs the full Singer compliance suite (test_core.py) against the real API. Without config.json, all live tests are skipped and only unit/mock tests run.

Contributing

Bug reports and pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Author

Maintained by Matheus Tenório. Also the author of hotmart-python, the underlying SDK this tap depends on.

License

Apache 2.0