How much does Crossref Scholarly Works Scraper cost?

$0.001 per work — $1 per 1,000. Billing is pay-per-result on your own Apify account: no subscription, and a run that returns nothing costs nothing.

What do I need to provide to run Crossref Scholarly Works Scraper?

Nothing is mandatory — every field has a working default. The settings you will usually change are Search query, Work type filter, Published from date, Sort order, Max works.

Do I need to code to use Crossref Scholarly Works Scraper?

No. It is a ready-to-run cloud tool: open it on Apify, fill in the form, click Run, and download the results. Everything runs on Apify's servers, so there is nothing to install or host.

Crossref Scholarly Works Scraper

Q: What data does Crossref Scholarly Works Scraper return?

A structured dataset with 12 fields per record, including abstract, authors, citations, doi, issn, journal, publishedDate, publisher, subjects, title, type, url. Export it as JSON, CSV or Excel, or send it straight to your app, a database or an AI agent.

Search 150M+ scholarly works on Crossref and export DOI, authors, journal, citation count, and abstracts as JSON or CSV. Filter by type and date.

5 from 1 review on Apify 66 runs on Apify $0.001 per work ($1 / 1,000)

Run this in the cloudRun on Apify →

Developer & Research Tools

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust query, filterType, fromDate (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Pricing

$0.001 per work = $1 per 1,000

You are charged for	When	Price
Work returned	Charged per scholarly work returned.	$0.001

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-12, and they are what you are actually charged.

Inputs

Field	What it does	Type
`query`	Keywords to search Crossref for across titles, authors, abstracts, and metadata (e.g. "deep learning", "CRISPR gene editing", "climate change adaptation").	string
`filterType`	Only return works of this Crossref type. Leave empty for all types. "journal-article" is the most common for research papers.	string
`fromDate`	Only return works published on or after this date, in YYYY-MM-DD format (e.g. 2020-01-01). Leave empty for no date floor.	string
`sort`	How to order results. "Relevance" matches the query best; "Most cited" surfaces influential papers; "Newest first" sorts by publication date descending.	string
`maxItems`	Maximum number of scholarly works to return. Uses deep cursor pagination to fetch beyond 100 reliably.	integer
`notionConnector`	Optional. Write each result as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.	string
`notionParentId`	Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.	string

What you get

A structured dataset — each result includes fields like:

abstractauthorscitationsdoiissnjournalpublishedDatepublishersubjectstitletypeurl

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

2 ready-to-run use cases

Most-Cited CRISPR Papers Ranked by Citations | Crossref

Rank CRISPR gene-editing papers by citation count from Crossref's 150M-work index. DOIs, titles, authors, and journals for literature reviews.

Microplastics Literature Search: All Crossref Works

Every microplastics publication on Crossref in one dataset: journal articles, books, datasets, and preprints with DOIs for systematic reviews.

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Where this tool sits

Categories: Developer & Research Tools
Platforms: Academic & Research

Crossref Scholarly Works Scraper

Search the Crossref catalog of 150M+ scholarly works (journal articles, preprints, books, datasets, and more) via its public REST API — no API key, no login, no anti-bot.

The actor is a polite Crossref client: it identifies itself with a contact User-Agent and a mailto query parameter so Crossref routes it to the faster "polite pool", and it uses deep cursor pagination (cursor=* → next-cursor) which is the only reliable way to page past 1,000 rows.

Input

Field	Type	Default	Description
`query`	string (required)	`deep learning`	Keywords searched across titles, authors, abstracts and metadata.
`filterType`	string	_all_	Restrict to a Crossref work type, e.g. `journal-article`.
`fromDate`	string `YYYY-MM-DD`	_none_	Only works published on/after this date.
`sort`	enum	`relevance`	`relevance`, `is-referenced-by-count` (most cited), or `published` (newest).
`maxItems`	integer	`100`	Max works to return (cursor pagination handles >100).
`proxyConfiguration`	object	_none_	Optional and off by default; Crossref is a public, no-key API with no anti-bot, so a proxy adds no benefit. Only enable it if you hit IP-level rate limits.

Output

Each successful row:

{
  "ok": true,
  "doi": "10.1038/nature14539",
  "title": "Deep learning",
  "authors": ["Yann LeCun", "Yoshua Bengio", "Geoffrey Hinton"],
  "journal": "Nature",
  "publisher": "Springer Science and Business Media LLC",
  "type": "journal-article",
  "publishedDate": "2015-05-28",
  "citations": 70000,
  "subjects": ["Multidisciplinary"],
  "issn": ["0028-0836", "1476-4687"],
  "abstract": null,
  "url": "https://doi.org/10.1038/nature14539"
}

authors are formatted "Given Family" (organizational authors fall back to their name).
publishedDate is assembled from Crossref's date-parts (may be year-only or year-month for older records).
citations is Crossref's is-referenced-by-count.
abstract is the JATS-XML abstract stripped to plain text, or null when Crossref has none.
Nullable fields: title, journal, publisher, type, publishedDate, abstract, and url may be null, and authors, subjects, and issn may be empty arrays, depending on what the publisher deposited with Crossref. doi is always present (rows without a DOI are dropped). citations defaults to 0 when absent.

Results are deduplicated by DOI.

Pricing

$1.00 per 1,000 works ($0.001 each), with no run-start fee. Flat rate — no volume tiers, no plan gates — and you are charged only for works actually returned.

Charging is per successful work (work event). Diagnostic / empty / blocked rows (ok: false with an errorCode) are never charged — this includes BAD_INPUT (empty query or malformed fromDate), NO_RESULTS, and any network/block error. A run that finds nothing costs nothing.

Troubleshooting

BAD_INPUT row, no results: you left query empty or fromDate isn't YYYY-MM-DD. Fix the input and re-run — you were not charged.
NO_RESULTS row: your query/filter combination matched nothing in Crossref. Try broader keywords or drop the type/date filters.
RATE_LIMITED / BLOCKED row: rare for Crossref. The actor already retries with backoff; if it persists, enable a proxy to use a different IP.

Notes

Powered entirely by the public Crossref REST API (https://api.crossref.org/works). Please be considerate of the shared, free service.
Citation counts and abstracts depend on what publishers deposit with Crossref; coverage varies by record.