Academic Research Monitor

Search scholarly papers across six sources in one run — OpenAlex, Semantic Scholar, Crossref, Europe PMC, arXiv and DBLP — merged into one clean schema and deduplicated by DOI and title. Get title, authors, year, DOI, abstract, citations, venue, and open-access links. No API key, nothing to configure.

One query, one deduplicated list — instead of running six scrapers and merging the results yourself.

Features

• Six sources, one schema — every paper has the same fields no matter where it came from.
• Deduplication — the same paper found in several sources becomes one record that lists all of them.
• Rich metadata — abstracts, AI TLDR summaries (when available), citation counts and open-access PDF links.
• Year filter — keep only recent work.

Use cases

• Literature reviews — one deduplicated corpus across all major indexes.
• Research monitoring — schedule daily on your topics and catch new papers.
• Citation tracking — sort by citation count to find the most influential work.
• R&D and competitive intelligence — follow what is being published in your field.

Input

Field	Type	Description
searchQueries	string[]	Search topics; each is searched in every selected source.
sources	string[]	openalex, semanticscholar, crossref, europepmc, arxiv, dblp. Default: all.
maxItemsPerSource	integer	Max results from each source per query, before dedup. Default 50.
fromYear	integer	Only works from this year onward.
dedupe	boolean	Merge duplicates across sources. Default true.

Examples

{
  "searchQueries": ["large language models"],
  "maxItemsPerSource": 50
}

{
  "searchQueries": ["CRISPR gene therapy"],
  "sources": ["openalex", "europepmc", "crossref"],
  "fromYear": 2024,
  "maxItemsPerSource": 100
}

Output

Each record is one paper:

Field	Description
title / authors / year	Title, author names and publication year.
doi / url	DOI and main link.
abstract / tldr	Abstract and short AI summary when available.
citationCount / venue / type	Citation count, journal or conference, and work type.
openAccessUrl	Free full-text link when available.
sources / sourceUrls	Which sources found the paper, with a link in each.
query / scrapedAt	The query that matched and scrape time.

Example

{
  "title": "NIH Image to ImageJ: 25 years of image analysis.",
  "authors": [
    "Caroline A Schneider",
    "Wayne S. Rasband",
    "Kevin W. Eliceiri"
  ],
  "year": 2012,
  "doi": "10.1038/nmeth.2089",
  "abstract": "For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, ch...",
  "tldr": null,
  "citationCount": 67169,
  "venue": "Nature Methods",
  "type": "article",
  "openAccessUrl": "https://www.nature.com/articles/nmeth.2089.pdf",
  "sources": [
    "openalex",
    "europepmc"
  ],
  "sourceUrls": {
    "openalex": "https://openalex.org/W2099540110",
    "europepmc": "https://europepmc.org/article/MED/22930834"
  },
  "url": "https://doi.org/10.1038/nmeth.2089",
  "scrapedAt": "2026-09-23T22:05:48.241Z",
  "query": "large language models"
}

Download the dataset as JSON, CSV, Excel, or XML, or pull it via the Apify API.

Pricing

Pay-per-event: $0.01 per run start (per GB of run memory) plus $1.00 per 1,000 papers. You only pay for papers actually returned. See the Pricing tab for current rates.

Disclaimer

This is an unofficial Actor. It is not affiliated with or endorsed by OpenAlex, Semantic Scholar, Crossref, Europe PMC, arXiv, or DBLP. It returns publicly available metadata; results reflect what each source actually has.