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Export a scholarly metadata dataset

Build a CSV or JSON dataset of scholarly records on any topic, with titles, DOIs, years, venues, citation counts and open-access flags. By MrBridge

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OpenAlex MCP Server: papers, DOI and citations
OpenAlex MCP Server: papers, DOI and citationsmrbridge/open-science-evidence-finder
Title
DOI
Year
Venue
+5 fields
Text
Number
Boolean
List
Object

Input

Research query:quantum computing error correction
Sources:openalex+3
Max results:25
From year:2020

Output fields

Title
DOI
Year
Venue
Type
Open access
Citations
Evidence score
Relevance

How it works

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The OpenAlex MCP Server: papers, DOI and citations Actor is ready to run with the inputs already set for "Export a scholarly metadata dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Export a scholarly metadata dataset" task

The OpenAlex MCP Server: papers, DOI and citations Actor will start running based on the input automatically. You can also change all the input fields, like research query, sources, and more, to match your specific use case.

Receive the "Export a scholarly metadata dataset" 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 title, DOI, year, 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 "Export a scholarly metadata dataset" task via API.

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