bioRxiv & medRxiv Preprint Monitor

Collect new bioRxiv or medRxiv preprints for a date range, filtered by subject category and keywords in title/abstract. Latest version only, with published-DOI link when available.

Why use it

• Weekly preprint digest for a lab or journal club (schedule it)
• Competitor watch on your target
• Feed new preprints into Slack / e-mail via Apify integrations

No API keys, no scraping of HTML – the actor talks to the official public API, handles paging, rate limits and retries, and returns flat JSON you can export as CSV/Excel or call from code, Make, Zapier, n8n or AI agents (Apify MCP server).

Input

Field	Title	Description
server	Server	Preprint server.
fromDate	From date	YYYY-MM-DD. Default: 7 days before 'To date'.
toDate	To date	YYYY-MM-DD. Default: today.
category	Subject category	Optional, e.g. 'biophysics', 'structural biology', 'neuroscience'.
keywords	Keywords	Optional; matched case-insensitively in title + abstract.
keywordMode	Keyword logic	'any' = at least one keyword, 'all' = every keyword.
maxResults	Max results	Maximum matching preprints to save.
maxPagesToScan	Max API pages to scan	Safety cap (30-100 records per page).
timeBudgetSeconds	Time budget (seconds)	Stop scanning after this time; matches found so far are kept. Keep below the run timeout.

Example input:

{
  "server": "biorxiv",
  "keywords": [
    "cryo-EM",
    "GPCR"
  ],
  "keywordMode": "any",
  "maxResults": 200,
  "maxPagesToScan": 100,
  "timeBudgetSeconds": 240
}

Output (one dataset item per result)

{
  "doi": "10.1101/2026.10.01.123456",
  "version": 1,
  "title": "...",
  "category": "biophysics",
  "postedDate": "2026-10-01",
  "publishedDoi": null,
  "url": "https://www.biorxiv.org/content/10.1101/2026.10.01.123456v1"
}

Use with AI agents (Apify MCP server)

Add the Apify MCP server (https://mcp.apify.com) to Claude, Cursor or any MCP client and enable this actor (researchdata/biorxiv-preprint-monitor). The agent can then call it directly: describe what you need, the agent fills the input fields above, runs the actor and reads the dataset. Because results are flat JSON with explicit nulls, an agent can use them without extra parsing. Set a maximum cost per run to keep agent calls capped.

Pricing

Pay per event: $0.005 per result (matching preprint returned). You only pay for results you get; set a max cost per run to cap spending.

Cost example

At $0.005 per result: 50 results ≈ $0.25, 1,000 results ≈ $5.00. Set a maximum cost per run in the run options to cap spending.

Limits

• Data comes from the provider's public API; fields the provider does not publish are returned empty (null), never guessed.
• Results reflect the provider's database at run time.
• Not affiliated with the data provider.

Data source & terms

bioRxiv / medRxiv public API (Cold Spring Harbor Laboratory). Please respect the data provider's terms and cite the original resource in publications. This actor is an independent tool and is not affiliated with or endorsed by the data provider.