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OpenAlex Academic Research Scraper

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OpenAlex Academic Research Scraper

OpenAlex Academic Research Scraper

Search and extract academic paper metadata from the OpenAlex API. Supports keyword search, author search, institution filter, and citation analysis. Free, no API key required. 250M+ scholarly works.

Pricing

Pay per usage

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Monkey Coder

Monkey Coder

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🔬 OpenAlex Academic Research Scraper

Search and extract academic paper metadata from the OpenAlex API — a free, open catalog of 250M+ scholarly works.

No API key required. Datacenter IP friendly.

🔥 How it works

  1. Keyword Search: Enter keywords to search paper titles, abstracts, and full text
  2. Author Search: Find all papers by a specific author
  3. Institution Search: Filter papers by affiliated institution
  4. Apply filters: year range, open access only
  5. Click Save & Start to begin extraction
  6. Results are exported as structured JSON

📋 Input Parameters

ParameterTypeDescription
Search ModeSelectKeyword Search / Author Search / Institution Search
Search QueryTextKeywords to search for (e.g., "machine learning")
Author NameTextAuthor to search (Author mode only)
Institution NameTextInstitution to filter by (Institution mode only)
Year FromNumberFilter papers from this year
Year ToNumberFilter papers until this year
Open Access OnlyBooleanOnly return freely available papers
Max ResultsNumberNumber of papers to retrieve (1-500)

📊 Output Fields

FieldTypeDescription
idStringOpenAlex unique identifier
doiStringDigital Object Identifier
titleStringPaper title
publication_yearNumberYear published
cited_by_countNumberTotal citations
is_open_accessBooleanWhether freely available
journal_nameStringJournal or conference name
authorsArrayList of authors with names and institutions
keywordsArrayPaper keywords
institutionsArrayAffiliated institutions
sdgsArrayUN Sustainable Development Goals
fetched_atStringTimestamp of data extraction

🚀 Result JSON Example

[
{
"id": "https://openalex.org/W2122410182",
"doi": "https://doi.org/10.1016/0004-3702(95)00020-8",
"title": "Artificial intelligence: A modern approach",
"publication_year": 1995,
"cited_by_count": 22209,
"journal_name": "Artificial Intelligence",
"is_open_access": false,
"authors": [
{
"name": "Stuart Russell",
"orcid": "https://orcid.org/0000-0001-5000-0000",
"position": "first"
}
],
"keywords": ["artificial intelligence", "machine learning"],
"institutions": [
{
"name": "University of California, Berkeley",
"country_code": "US",
"type": "education"
}
],
"fetched_at": "2026-03-28T12:30:00Z"
}
]

💡 Use Cases

  • Academic Research: Discover papers on specific topics
  • Citation Analysis: Track influential papers and research trends
  • Institutional Research: Analyze research output of universities
  • Literature Review: Build comprehensive bibliographies
  • Research Trends: Identify emerging topics and hot areas

📊 Data Source

This Actor uses the OpenAlex API — a fully open, free catalog of scholarly works with 250M+ works, 12M+ authors, and 100K+ institutions.

  • No API key required
  • Rate limit: ~10 requests/second (polite pool with email)
  • Coverage: All academic disciplines
  • Data freshness: Updated weekly

⚙️ Maintenance

This Actor is actively maintained. For issues or feature requests, please contact the developer.