Crossref DOI Search & Metadata Exporter
Pricing
from $0.10 / 1,000 results
Crossref DOI Search & Metadata Exporter
Search Crossref scholarly works and export clean DOI metadata for research, discovery, and citation analysis. Filter by query, work type, date, sort, and result count. Each result includes title, authors, publisher, journal, citations, subjects, licenses, references, ISSN, and DOI URL.
Pricing
from $0.10 / 1,000 results
Rating
0.0
(0)
Developer
Archive Scout Labs
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
2 days ago
Last modified
Categories
Share
Search Crossref works and export DOI, citation, author, publisher, journal, type, date, license, and reference metadata.
This HTTP-only Apify Actor uses the public Crossref REST API. It needs no customer login, cookie, proxy, or third-party API subscription.
Quick start
- Enter a focused query and optional filters.
- Keep the result limit small for the first run.
- Click Start and export the dataset as JSON, CSV, Excel, XML, RSS, or HTML.
{"query": "machine learning","maxItems": 25,"sort": "relevance","order": "desc"}
Useful workflows
- Literature and prior-art discovery
- DOI enrichment for research datasets
- Citation and publisher monitoring
Reliability and billing design
- Inputs and pagination are bounded to prevent accidental runaway jobs.
- Temporary rate limits and server errors are retried with exponential backoff.
- Unexpected source response shapes fail the run instead of producing a misleading empty success.
- Duplicate source records are removed within a run.
- Each successfully written dataset row is ready for a future pay-per-result event; source errors are never charged as results.
- The runtime stops cleanly when an Apify maximum-charge limit is reached.
Data source and limitations
Source: https://api.crossref.org
This independent community Actor is not affiliated with or endorsed by the source publisher. It returns public records as supplied by the source and does not independently verify their accuracy. Source coverage, update cadence, field completeness, and rate limits can change. Users remain responsible for interpreting and using the data lawfully.