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Build an Open-Access Literature-Review Corpus

Search, de-duplicate and quality-gate open-access research into a read-ready literature-review dataset with verified PDFs and no duplicate records.

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CORE Open Access Paper Search
CORE Open Access Paper Searchryanclinton/core-academic-search
CORE ID
Title
Authors
Year Published
+10 fields
Text
Number
Boolean
List
Object

Input

Search Query(required):climate change adaptation
Research Preset:literature-review

Output fields

CORE ID
Title
Authors
Year Published
DOI
Journal Name
Citation Count
Citation Tier
Readiness Score
Readiness Grade
Relevance Rank
Document Type
Download URL
CORE Page URL

How it works

Sign up on Apify or log in

The CORE Open Access Paper Search Actor is ready to run with the inputs already set for "Build an Open-Access Literature-Review Corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an Open-Access Literature-Review Corpus" task

The CORE Open Access Paper Search Actor will start running based on the input automatically. You can also change all the input fields, like search query and research preset, to match your specific use case.

Receive the "Build an Open-Access Literature-Review Corpus" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as CORE ID, title, authors, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build an Open-Access Literature-Review Corpus" task via API.

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