openalex-database

Name: openalex-database
Availability: InStock
Author: rubensliv

Query OpenAlex for scholarly works and bibliometric insights.

15|2|Updated Dec 17, 2025

Search Tags:#data-analysis #api-client #openalex #bibliometrics #literature-search #research-analysis #two-step-lookup

Ready to run

npx skills add https://github.com/rubensliv/k-dense-ai --skill openalex-database-rubensliv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openalex-database
Source: https://github.com/rubensliv/k-dense-ai/tree/main/scientific-skills/openalex-database
Command: npx skills add https://github.com/rubensliv/k-dense-ai --skill openalex-database-rubensliv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

OpenAlex Database provides a structured interface to query the OpenAlex API for literature search, author and institution works, and bibliometric analysis, consolidating common workflows for researchers and analysts who need scalable access to 240M+ scholarly records.

Core Features & Use Cases

Full-text and faceted searches across works, authors, institutions, and topics using OpenAlex; supports filters like year, OA status, and citations.
Two-step lookups for authors and institutions to reliably resolve IDs before querying works.
Batch lookups, sampling, and grouping/aggregation (e.g., by year or topics) to support bibliometric analyses and reporting.
Lightweight Python client with rate limiting, exponential backoff, pagination, and helper functions for common research tasks.

Quick Start

Instantiate the client with your email and run a basic search to retrieve works.

Frequently Asked Questions about openalex-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I query the OpenAlex API for scholarly literature search and bibliometric analysis?▼

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.

Can I retrieve and filter works by author, institution, or open access status in OpenAlex?▼

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.

How do I handle rate limiting and pagination when extracting batch bibliometric data from OpenAlex?▼

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.

Do I need a specific API key or only the requests library to use this OpenAlex client?▼

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.

What's the best way to resolve author or institution IDs before querying their works in OpenAlex?▼

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.

Are there limitations when running large-scale batch data extraction across 240M+ records in OpenAlex?▼

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.