Crossref Scholarly Research and DOI Metadata Radar
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Crossref Scholarly Research and DOI Metadata Radar
Extract Crossref Scholarly Research and DOI Metadata data in clean JSON or CSV. Query by query, sort, maxPapers for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.
Pricing
$1.10 / 1,000 results
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Developer
Darim Quraishi
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Search and extract academic papers, preprint releases, digital object identifiers (DOIs), publication sources, author directories, and citation metrics from Crossref.
Features
- Queries hundreds of millions of peer-reviewed journal articles, book chapters, conference proceedings, and preprints.
- Sorts papers by publication recency, search relevance, or citation counts to locate foundational literature.
- Extracts author directories, publishing houses, journal titles, ISSN numbers, and official DOI URLs.
- Provides clean metadata suitable for scientific literature review, automated citation indexing, and LLM fine-tuning.
- Runs without API keys, browser rendering, or proxy credits for high throughput and reliability.
Input parameters
- Research Query: Keywords, academic topics, or specific research fields to search (for example: machine learning, gene editing). Default is artificial intelligence.
- Sort Order: Sort by publication date, search relevance, or total citation count. Default is published.
- Maximum Papers: Total number of scholarly records to collect. Default is 50, maximum is 200.
Output dataset fields
Each dataset record contains:
- doi: Digital Object Identifier string (for example: 10.1157/13053466).
- title: Full title of the published paper or study.
- journalTitle: Name of the journal, conference, or publication venue.
- publisher: Publishing organization (Elsevier, IEEE, Springer Nature, Wiley).
- type: Item category such as journal-article, proceedings-article, or book-chapter.
- authors: Array of full author names.
- citationCount: Total recorded citations linking back to this work.
- publishedDate: ISO formatted timestamp of record creation or release.
- publishedYear: Year of publication.
- issn: International Standard Serial Number for the journal.
- url: Permanent resolving DOI link.
- query: Search keyword used to discover the paper.
- scrapedAt: UTC timestamp when the record was collected.
Use cases
- Scientific research monitoring: Track newly published papers in fast-moving fields like medicine, AI, and materials science.
- Academic RAG pipelines: Build citation-backed retrieval systems for technical and biomedical applications.
- Trend intelligence: Identify trending research topics and influential authors based on citation velocity.
- Library curation: Aggregate journal article metadata for academic bibliographies and institutional repositories.