CrossRef Scholarly Articles Scraper

Search and extract metadata from 150+ million scholarly articles via CrossRef API. Get DOIs, authors, abstracts, citation counts, journals, and more. No API key needed.

Features

• 🔬 150M+ articles — the largest open scholarly metadata database
• 📖 Rich metadata — DOI, title, authors (with ORCID), abstract, journal, publisher
• 📊 Citation counts — sort by most cited, filter by minimum citations
• 🏷️ Subject areas — categories/subjects from CrossRef
• 💰 Funding info — funder names, DOIs, and grant numbers
• 📅 Date filtering — search within specific year ranges
• 🔗 Direct DOI lookup — fetch specific articles by DOI
• ⚡ Official API — no blocking, polite pool rate limiting

Input

Field	Type	Default	Description
searchQueries	string[]	[]	Search by keyword
dois	string[]	[]	Fetch specific DOIs
maxResults	number	50	Max articles per query
sortBy	string	"relevance"	Sort: relevance / published / citation count
fromYear	number	—	Filter: published from year
toYear	number	—	Filter: published until year
minCitations	number	0	Minimum citation count

Example

{
  "searchQueries": ["transformer neural network"],
  "maxResults": 20,
  "sortBy": "is-referenced-by-count",
  "fromYear": 2020,
  "minCitations": 50
}

Output

{
  "doi": "10.1038/s41586-023-06747-5",
  "title": "Attention Is All You Need",
  "journal": "Advances in Neural Information Processing Systems",
  "publishedDate": "2017-6-12",
  "firstAuthor": "Ashish Vaswani",
  "authorCount": 8,
  "citationCount": 120000,
  "abstract": "The dominant sequence transduction models...",
  "subject": ["Artificial Intelligence"],
  "url": "https://doi.org/10.1038/..."
}

Use Cases

• Literature review — find and extract papers on any research topic
• Bibliometric analysis — track citation patterns and research trends
• Dataset building — create training data for NLP/ML from abstracts
• Research monitoring — track new publications in your field
• Grant writing — find relevant prior work and citation metrics