kpler

You can automate Kpler oil and gas data retrieval by using a reusable Python client that handles login, token refresh, and request signing to fetch trades, flows, and vessel positions directly within your ETL pipelines. It manages session authentication automatically for continuous data workflows.

The best way to fetch vessel positions and fleet data from the Kpler API is through a Python client that executes entity searches and retrieves AIS positions with configurable filters. It manages the underlying API authentication and retry logic automatically for reliable data access.

Yes, you can use Python to query Kpler trades and flows with configurable filters, time ranges, and splits. The client manages token refresh and request signing, allowing you to retrieve specific trade data without manual authentication overhead.

Yes, the Kpler client handles token refresh automatically. It manages login, automatic token storage, and request signing against the Kpler API, ensuring your data retrieval processes remain uninterrupted without requiring manual re-authentication.

You search for specific installations and players by using the client's entity search functionality across zones, installations, players, vessels, and products. This feature allows targeted queries within the Kpler database to identify specific market participants.

Kpler API requests may fail during high-volume extraction due to token expiration or network timeouts. The client implements automatic token refresh and built-in retry logic to handle these transient failures and ensure reliable data retrieval.