Data engineering
Wikidata SPARQL Wrapper
A Python wrapper that streamlines Wikidata queries for research teams.
Overview
The wrapper simplifies SPARQL query authoring, caching, and export workflows for Wikidata. It is built to help analysts move quickly from question to structured dataset without boilerplate.
It supports templated queries, rate limiting, and clean CSV/JSON exports.
Key features
- Templated query helpers for common Wikidata patterns.
- Automatic caching and retry logic for stable data pulls.
- Export tooling for downstream notebooks and BI workflows.
- CLI utilities for batch queries and scheduled jobs.
Technical approach
The tool is packaged in Python with modular query builders, caching middleware, and export helpers. It integrates with pandas to accelerate data science workflows.
Results & impact
Researchers can now assemble Wikidata-driven datasets faster and with fewer query errors, improving data reliability in downstream analyses.