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PubMed / NCBI — Scraping & Data Extraction

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PubMed metadata via NCBI APIs, without scraping.

Education & Research#ncbi#pubmed#data-extraction#esearch#esummary#efetch#eutils
Authoryangchuansheng
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables extraction of PubMed article metadata directly from the NCBI E-utilities APIs, eliminating brittle browser scraping and manual collection.

Core Features & Use Cases

  • API-driven data collection: perform structured queries with ESearch, fetch summaries with ESummary, and obtain full records with EFetch.
  • Batch processing for literature reviews: retrieve PMIDs in bulk, resolve DOIs and PMC IDs, and assemble a compact dataset for dashboards or meta-analyses.
  • Use Case: researchers can build a reproducible workflow to collect title, authors, journal, date, and DOI for thousands of PubMed articles.

Quick Start

Construct a topic query with ESearch, then pull metadata via ESummary/EFetch to assemble a PubMed dataset.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: PubMed / NCBI — Scraping & Data Extraction
Download link: https://github.com/yangchuansheng/browser-harness-rust/archive/main.zip#pubmed-ncbi-scraping-data-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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