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arXiv Paper Scraper - Metadata, Abstracts & PDF Links

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Scrape arXiv paper metadata into structured JSON: title, abstract, authors, categories, published and updated dates, DOI, journal reference and direct PDF links. Public arXiv Atom API, no API key. Pay per paper result at $0.005 — $0.10 for a 20-paper batch. Filter by query, category or date range.

Pricing

from $5.00 / 1,000 arxiv paper rows

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(0)

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ttgi

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18 days ago

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arXiv Paper Scraper

Search arXiv and get full paper metadata: authors, abstract, categories, publication and update dates, DOI, journal reference and links.

Why this exists

Across the Apify Store's listings there is no dedicated arXiv scraper. The research and AI-audit crowd is a distinct audience from the developer-tool crowd, and arXiv's API is free, public, and needs no key.

Usage

Full arXiv query syntax, or just a category:

{
  "category": "cs.CL",                    // cs.AI, cs.CL, cs.LG, cs.RO, q-bio.BM...
  "searchQuery": "cat:cs.CL AND all:transformer",
  "sortBy": "submittedDate",              // relevance | lastUpdatedDate | submittedDate
  "sortOrder": "descending",
  "maxItems": 100
}

searchQuery wins over category when both are set.

Output

One row per paper:

id, title, summary, authors, authorCount, published, updated, categories, primaryCategory, comment, journalRef, doi, url, pdfUrl

Use cases

Literature review — pull a category's newest submissions with abstracts
Author tracking — au:Name or search_query=au:hinton for a lab's output
Trend detection — sort by submittedDate to see what is emerging
Citation inputs — doi and journalRef where arXiv records them
Competitive research — track a competitor's publication cadence

Honest notes

arXiv's API asks callers to wait roughly 3 seconds between requests. This actor honours that, so large runs are intentionally not instant.
comment often holds the venue and acceptance status ("Accepted at NeurIPS 2026") — useful, but free-text and not always present.
journalRef and doi are only populated for published papers, so expect nulls on preprints.
categories is comma-separated and can include cross-lists; use primaryCategory when you need exactly one.

Pronouns: they/them.

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