aminer-data-search

You can query academic metadata and citation relationships through the AMiner API by using the prebuilt workflows for scholar profiles and AI-driven paper QA search. The client handles authenticated token-based requests across 28 endpoints to retrieve structured results.

Yes, automated patent lookup and institution research analysis are supported through direct API client bindings. The Python CLI orchestrates multi-step requests with retry and backoff logic, returning structured academic data without manual scraping.

The paper deep dive workflow queries the AMiner API to retrieve comprehensive metadata and trace citation relationships for a specific publication. It orchestrates multi-step API calls to build a complete citation chain for research discovery.

The AMiner data search client manages API rate limits using built-in exponential backoff retries, retryable-status logic, and request timeouts. It also includes workflow-level fallbacks and routing guidance to ensure robust production responses.

You need an AMiner API token to authenticate requests via the Authorization header. The developer-ready Python CLI client and reference API catalog allow you to immediately run workflows for scholar profiles, venue monitoring, or patent searches.

Academic literature search via API clients is limited by endpoint coverage and token pricing constraints defined by the AMiner Open Platform. While fallback routing and retries improve reliability, complex queries may still require multi-step orchestration across the 28 available endpoints.