metadata
license: cc-by-4.0
language:
- en
pretty_name: Crossref Scraper · DOI Metadata, Authors, Journals & Citations
size_categories:
- 1K<n<10K
tags:
- reapx
- web-scraping
- open-data
- crossref-scraper
- crossref
- metadata
- authors
- journals
- citations
configs:
- config_name: default
data_files:
- split: train
path: crossref-scraper.jsonl
Crossref Scraper · DOI Metadata, Authors, Journals & Citations
Scrape scholarly DOI metadata, works, journal articles, authors, citations, funding, and licenses from the Crossref REST API. Fast HTTP scraper with pay-per-event pricing.
| Rows in this dataset | 2,492 |
| Fields | 29 |
| Collector runs behind it | 50 |
| Most recent observation | 2026-08-03 |
What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a template over a keyword list: a row exists because a run observed it.
Provenance
Each row carries _run_id and _dataset_id, naming the collector run that produced it, so any
row can be traced back to the run that observed it. Rows observed by more than one run are
deduplicated on content; 8 duplicate observations were collapsed.
Files
crossref-scraper.jsonl— one JSON object per row, the canonical formcrossref-scraper.csv— the same rows flattened; nested values are JSON-encoded within their cell so they round-tripdataset.json— schema.orgDatasetmetadata
Loading it
from datasets import load_dataset
ds = load_dataset("reapxdev/crossref-scraper", split="train")
Related
- All sources: https://reapx.dev/data/ · machine-readable index: https://reapx.dev/llms.txt
- The collector is a public Apify Actor; agents reach it through https://mcp.apify.com
Licence
Collected from public sources. This metadata and the published pages are CC BY 4.0; the underlying records remain under the terms of their originating source.
