openalex-database

Query the OpenAlex API for scholarly literature search and bibliometric analysis using a structured Python client that supports full-text searches, filtering by year or open access status, and citation analysis across 240M+ records.

Yes, you can retrieve and filter works by author, institution, or open access status in OpenAlex using two-step lookups to resolve IDs before querying, plus batch data extraction and grouping aggregations by year or topics.

Handle rate limiting and pagination when extracting batch bibliometric data from OpenAlex using the built-in client features, which implement exponential backoff and automated pagination to support robust production workflows.

You only need the standard requests library and your email to instantiate the OpenAlex client; no specific API key is required to start querying scholarly works and retrieving bibliometric insights.

The best way to resolve author or institution IDs before querying their works in OpenAlex is using the two-step lookup helper functions, which reliably resolve entities before executing filtered work retrieval.

When running large-scale batch data extraction across 240M+ records in OpenAlex, limitations are mitigated by the client's rate limiting, exponential backoff, and pagination, though query complexity and API constraints may still apply.