Claude Skill

Beautiful Soup Academic Paper Parser

Extracts structured citation data from academic repositories using BeautifulSoup4 with lxml parser. Parses DOI metadata, author affiliations, and reference lists from PubMed, arXiv, and Semantic Scholar HTML.

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Part of agentskillexchange/skills — 249 skills

Install

skills CLI npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/beautifulsoup-academic-paper-parser

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Beautiful Soup Academic Paper Parser

Installation

Use the upstream install or setup path that matches your environment:

pip install beautifulsoup4
format. Run make html in that directory to create HTML

Requirements and caveats from upstream:

Requires: Python >=3.7.0
Python
Python :: 3

Basic usage or getting-started notes:

from bs4 import BeautifulSoup
soup = BeautifulSoup("
SomebadHTML")

print(soup.prettify())

Source: https://pypi.org/project/beautifulsoup4/

Source

Agent Skill Exchange

Files (skills)

SKILL.md 1.3 KB

---
name: "Beautiful Soup Academic Paper Parser"
slug: "beautifulsoup-academic-paper-parser"
description: "Extracts structured citation data from academic repositories using BeautifulSoup4 with lxml parser. Parses DOI metadata, author affiliations, and reference lists from PubMed, arXiv, and Semantic Scholar HTML."
verification: "security_reviewed"
source: "https://pypi.org/project/beautifulsoup4/"
category: "Research & Scraping"
framework: "MCP"
---

# Beautiful Soup Academic Paper Parser

Extracts structured citation data from academic repositories using BeautifulSoup4 with lxml parser. Parses DOI metadata, author affiliations, and reference lists from PubMed, arXiv, and Semantic Scholar HTML.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install beautifulsoup4
- format. Run make html in that directory to create HTML

Requirements and caveats from upstream:
- Requires: Python >=3.7.0
- Python
- Python :: 3

Basic usage or getting-started notes:
- >> from bs4 import BeautifulSoup
- >> soup = BeautifulSoup("<p>Some<b>bad<i>HTML")
- >> print(soup.prettify())

- Source: https://pypi.org/project/beautifulsoup4/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/beautifulsoup-academic-paper-parser/)