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Crossref Works Scraper

Under maintenance

Pricing

Pay per usage

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Crossref Works Scraper

Crossref Works Scraper

Under maintenance

Search Crossref scholarly works by query or DOI. Extract titles, authors, publishers, journals, publication dates, DOI URLs, references, licenses, and citation counts.

Pricing

Pay per usage

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0.0

(0)

Developer

Ashwin Prasad

Ashwin Prasad

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Extract DOI and publication metadata from Crossref for research analytics, citation workflows, library enrichment, and scholarly market maps.

Use this actor when you need clean DOI-backed publication rows without maintaining your own Crossref integration. It is useful for publishers, universities, academic databases, AI/RAG teams, citation tools, research analysts, and market-intelligence workflows that need publication metadata at predictable cost.

What it returns

  • DOI, title, abstract, publisher, journal/container title
  • Authors, publication dates, type, subject
  • Reference count, indexed date, license URLs
  • Canonical DOI and Crossref source URLs

Common use cases

  • Enrich DOI lists with titles, authors, journal names, publishers, and dates
  • Build scholarly datasets for RAG, literature reviews, or semantic search
  • Monitor publisher, journal, author, or keyword activity over time
  • Power citation workflows, library metadata cleanup, and research market maps
  • Feed publication metadata into AI agents for summarization and deduplication

Input

Provide search queries, DOIs, or both. Crossref works best with publication titles, author names, journal names, or exact DOI values.

{
"queries": ["retrieval augmented generation"],
"dois": ["10.1038/s41586-020-2649-2"],
"maxResultsPerQuery": 25
}

Output

Every result is saved to the default Apify dataset. Rows typically include doi, title, abstract, publisher, container_title, authors, published_date, type, subjects, reference_count, is_referenced_by_count, license_urls, doi_url, and Crossref source links.

SEO keywords

Crossref scraper, DOI metadata scraper, Crossref works API, scholarly metadata export, academic publication scraper, citation data scraper, DOI to CSV, research paper metadata API.

Pricing recommendation

Launch around $2 per 1,000 work rows. The actor is API-first and low-compute, so this leaves margin while staying affordable for research enrichment and bulk DOI cleanup.

Responsible use

This actor extracts public metadata from Crossref. Respect Crossref API etiquette, publisher rights, and license terms for downstream use. Metadata can be incomplete or updated; verify critical bibliographic records before using them in formal publication, compliance, or procurement workflows.

Automation ideas

Schedule runs for journal watchlists, DOI batches, competitor/publisher topics, or research categories. AI agents can deduplicate works, summarize abstracts, cluster publication themes, fill missing DOI fields, and route new papers into literature-review pipelines.