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Alzheimer Disease Literature for AI

Alzheimer Disease Literature for AI is a ready-to-run, source-linked example built with the smallest practical result limit. It helps research, recruiting, or.

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PubMed Scraper for RAG: Papers as Chunked JSON
PubMed Scraper for RAG: Papers as Chunked JSONgetascraper/pubmed-rag-extractor
Document Key (PMID)
Paper Title
Author Roster
Journal of Record
+1 field
Text
Number
Boolean
List
Object

Input

Search Term:Alzheimer disease
From date:2025-01-01
To date:2025-12-31
Max papers per run:1

Output fields

Document Key (PMID)
Paper Title
Author Roster
Journal of Record
Publication Timestamp

How it works

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The PubMed Scraper for RAG: Papers as Chunked JSON Actor is ready to run with the inputs already set for "Alzheimer Disease Literature for AI". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Alzheimer Disease Literature for AI" task

The PubMed Scraper for RAG: Papers as Chunked JSON Actor will start running based on the input automatically. You can also change all the input fields, like search term, from date, and more, to match your specific use case.

Receive the "Alzheimer Disease Literature for AI" 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 document key (pmid), paper title, author roster, 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 "Alzheimer Disease Literature for AI" task via API.

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