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Dryad Research Data Repository Scraper

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from $0.50 / 1,000 results

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Dryad Research Data Repository Scraper

Dryad Research Data Repository Scraper

$0.5/1K ๐Ÿ”ฅ Dryad Research Data! Pull curated research datasets with DOIs & metadata. No key. JSON, CSV, Excel or API in seconds. Find and cite open research data โšก

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from $0.50 / 1,000 results

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ninhothedev

ninhothedev

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Scrape curated research datasets from Dryad โ€” the community-trusted, peer-curated data repository that is especially strong in ecology, evolution, and medicine. Pull authors, DOIs, abstracts, keywords, methods, licenses, related publications and file-level metadata into clean, structured JSON. No API key required.

Priced for volume at roughly ~$0.50 per 1,000 datasets โ€” ideal for meta-analysis, systematic reviews and data-availability compliance at scale.

What it does

Dryad exposes a free, public REST API (https://datadryad.org/api/v2). This actor wraps it, handles the HAL/HATEOAS pagination for you, and normalises every record into a flat, analysis-ready schema.

  • Browse or search the entire Dryad catalogue (70,000+ datasets)
  • Look up explicit DOIs to enrich an existing list
  • Compact, de-duplicated authors (name + affiliation + ORCID)
  • Clean, HTML-stripped abstracts, methods and usage notes
  • Keywords, field of science, license, storage size, related works and more

How it differs from Figshare / Zenodo (and DANDI / OSF)

This account also ships a Figshare scraper and a Zenodo scraper. They are not interchangeable โ€” pick by repository:

RepositoryNatureBest for
Dryad (this actor)Curated & peer-reviewed data publishing. Every dataset is human-checked by a curation team before release. Domain-skewed toward ecology, evolution, and biomedical/medical research, tightly linked to a related journal article.High-quality, publication-linked biological/medical datasets; reproducibility & data-availability audits.
FigshareGeneral-purpose, self-deposit repository across all disciplines (figures, posters, datasets, media). Minimal curation.Broad, cross-discipline discovery incl. non-dataset research outputs.
ZenodoCERN-backed, general-purpose self-deposit; strong for software releases and long-tail research artifacts.Software/code archives, DOIs for any output, EU/physics-leaning coverage.

In short: Dryad = curated, biology/medicine-heavy, article-linked data. Use Figshare/Zenodo for broad, self-deposited outputs. Related actors for the wider ecosystem: DANDI datasets scraper (neurophysiology) and OSF scraper (open-science projects).

Use cases

  • Research data discovery โ€” find every dataset on a topic across a curated corpus.
  • Meta-analysis โ€” assemble structured inputs (methods, sample notes, DOIs) for quantitative synthesis.
  • Systematic reviews โ€” screen data availability and link datasets back to primary articles.
  • Data-availability compliance โ€” verify that published papers actually deposited their data.

Input

FieldTypeDescription
modeselectdatasets (browse/search) or dois (explicit lookup). Default datasets.
searchQuerystringOptional full-text query (used in datasets mode via Dryad's /search endpoint).
doisarrayDryad DOIs to resolve when mode='dois' (e.g. doi:10.5061/dryad.7rh4625).
maxItemsintegerMax datasets to scrape, 1โ€“3000. Default 200.

Example input

{
"mode": "datasets",
"searchQuery": "coral reef",
"maxItems": 500
}
{
"mode": "dois",
"dois": ["doi:10.5061/dryad.7rh4625"]
}

Output

Each item is a normalised dataset record. All fields are nullable.

{
"type": "dataset",
"doi": "doi:10.5061/dryad.7rh4625",
"title": "Distinct predatory behaviors in scimitar- and dirk-toothed sabertooth cats",
"authors": [{ "name": "Borja Figueirido", "affiliation": "Universidad de Malaga", "orcid": "0000-0003-2542-3977" }],
"author_count": 4,
"abstract": "Over the Cenozoic, large cat-like forms have convergently evolved ...",
"keywords": ["Paleobiology", "Finite element analysis"],
"field_of_science": "Evolutionary Biology",
"methods": "...",
"usage_notes": "...",
"publication_date": "2023-05-10T00:00:00",
"last_modified": "2023-06-01T00:00:00",
"version_number": 1,
"version_status": "submitted",
"curation_status": "Published",
"license": "https://creativecommons.org/publicdomain/zero/1.0/",
"related_publication_issn": "0960-9822",
"related_works": [{ "relationship": "primary_article", "identifier": "https://doi.org/10.1016/j.cub.2023.01.001" }],
"visibility": "public",
"sharing_link": "https://datadryad.org/share/...",
"url": "https://datadryad.org/dataset/doi:10.5061/dryad.7rh4625",
"source": "dryad",
"scraped_at": "2026-08-11T00:00:00+00:00"
}

Notes

  • Data comes from Dryad's free public API โ€” no key, no login.
  • Please respect Dryad's terms and the individual dataset licenses when reusing content.