# ckreibich/scholar.py

A parser for Google Scholar, written in Python

Repository: https://github.com/ckreibich/scholar.py
Canonical: https://ross.abutalabs.com/products/scholarpy
Language: Python
License Family: other
Archived: true
Last push: 2026-07-14T02:41:09+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 4683, "days_push": 50, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2175, forks 770 (observed 2026-08-28T04:06:22.170617+00:00)

## What it is
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
- artifact type: library
- maturity: abandoned
- function: parser, web-scraping, http-client, cli
- domain: data-science, developer-tools
- platform: python, cli, cross-platform
- tags: google-scholar, scraper, bibtex, citation-export, academic-search, archived, search, command-line

## Member repositories
- ckreibich/scholar.py (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:22.170617+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:48:55.318780+00:00, confidence not recorded.
  - readme: https://github.com/ckreibich/scholar.py (fetched 2026-08-28T04:06:22.170617+00:00, sha ae7b21e2d0ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.