ckreibich/scholar.py
A parser for Google Scholar, written in Python observed · 2026-10-10
Health v2 · maintenance only
10/100
- Activity 84
- Release rhythm 35
- Longevity 100
Flags: no_releases archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4732
- days_rel: n/a
- days_push: 100
- n_releases_24m: 0
Adoption not part of the score
2175 stars · 768 forks observed · 2026-10-10
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python module that queries and parses Google Scholar search results, extracting publication metadata, citation counts, PDF links, and BibTeX/EndNote exports. It can be used as a library or invoked as a command-line tool that outputs CSV, plain text, or citation formats.
Use cases
- scrape google scholar search results programmatically
- get citation counts for papers in python
- export google scholar results as bibtex
- find pdf links for academic publications
- query google scholar from the command line
- track citations of a specific article by cluster id
When to choose
- you need a simple scriptable way to pull Google Scholar metadata
- you want citation export formats like BibTeX or EndNote
- you prefer a lightweight library plus CLI in one package
When to avoid
- you need a maintained tool - the repo is archived and scraping likely breaks
- you need high query volumes - the author refuses to bypass Google's rate limits
- you need a sanctioned API rather than HTML scraping
Facets
library · maturity abandoned
parser web-scraping http-client cli data-science developer-tools python cli cross-platform google-scholar scraper bibtex citation-export academic-search archived search command-line
1 source
- readme: https://github.com/ckreibich/scholar.py · fetched 2026-10-10 · ae7b21e2d0ab
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ckreibich/scholar.py | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="ckreibich/scholar.py")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem