Meta-Analyses and Systematic Reviews
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.
Input
Output fields
Sign up on Apify or log in
The Semantic Scholar Scraper Actor is ready to run with the inputs already set for "Meta-Analyses and Systematic Reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Meta-Analyses and Systematic Reviews" task
The Semantic Scholar Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search queries, maximum results per search query, and more, to match your specific use case.
Receive the "Meta-Analyses and Systematic Reviews" 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 type, 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 "Meta-Analyses and Systematic Reviews" task via API.
