Go to example tasks
Meta-Analyses and Systematic Reviews
Created by
SolidCode
Search Semantic Scholar for meta-analyses and systematic reviews on any topic. Each row includes publicationTypes, title, abstract, doi, year, and citationCount. Filter to MetaAnalysis and Review types to build an evidence-synthesis dataset in CSV, JSON, or Excel.
Semantic Scholar Scrapersolidcode/semanticscholar-scraper
Type
Title
Authors
Year
+7 fieldsTextNumberBooleanListObject
Input
Search Queries:type 2 diabetes
Maximum Results per Search Query:300
Publication Types:MetaAnalysis+1
Output fields
Type
Title
Authors
Year
Venue
Citations
References
Fields of study
Fields (as published)
PDF
Link
Sign up on Apify01
Create your Apify account to access the Semantic Scholar Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
