scholr 0.2.2

A lightweight scraper for Google Scholar

Scholr

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Overview

Scholr is a lightweight, developer-friendly Python library for extracting structured academic data from Google Scholar.
It provides an easy way to retrieve:

• Author profile information (name, affiliation, research interests, photo)
• Citation statistics (total citations, h-index, i10-index)
• Complete publication lists
• Publication details (title, date, citations, url)

Scholr is designed for simplicity, speed, and ease of integration into scripts or pipelines.

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Installation

pip install scholr

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Usage

Fetch an author profile

from scholr import get_scholar_profile

user_id = "EXAMPLE_ID"

profile = get_scholar_profile(user_id)

print("Profile info:")
print(profile)

Example output:

{
  "name": "John Doe",
  "affiliation": "Department of Computer Science, Example University",
  "interests": ["machine learning", "data mining"],
  "photo_url": "https://scholar.googleusercontent.com/photos/example.jpg",
  "citations_all": "1234",
  "citations_since_2019": "987",
  "h_index_all": "15",
  "h_index_since_2019": "12",
  "i10_index_all": "10",
  "i10_index_since_2019": "8",
  "publications": [
    {"title": "A Study on Machine Learning", "url": "https://scholar.google.com/..." },
    {"title": "Data Mining Techniques", "url": "https://scholar.google.com/..."}
  ]
}

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Fetch publication details

from scholr import get_publication_details

publication_url = "https://scholar.google.com/citations?view_op=view_citation&user=EXAMPLE_ID&citation_for_view=EXAMPLE_CITATION"

publication = get_publication_details(publication_url)

print("Publication details:")
print(publication)

Example output:

{
  "title": "A Study on Machine Learning",
  "url": "https://scholar.google.com/...",
  "date": "2020/5/15",
  "citations": "45"
}

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Example Test Script

from scholr import get_scholar_profile, get_publication_details

profile_url = "https://scholar.google.com/citations?user=EXAMPLE_ID"

profile = get_scholar_profile(profile_url)
print("Profile info:", profile)

for pub in profile.get("publications", []):
    publication = get_publication_details(pub.get("url"))
    print("Publication details:", publication)

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Notes

• Scholr fetches all publications of a profile automatically using pagination.
• Rate-limiting may occur if too many requests are sent in a short time.
• This library uses only BeautifulSoup; no browser automation is required.