Create an Academic RAG Dataset
Fetch Cat
Build a structured dataset of public author bios, interests, metrics, and publication rows for search, enrichment, and RAG pipelines.
Input
Output fields
Sign up on Apify or log in
The Google Scholar Profiles Scraper Actor is ready to run with the inputs already set for "Create an Academic RAG Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Create an Academic RAG Dataset" task
The Google Scholar Profiles Scraper Actor will start running based on the input automatically. You can also change all the input fields, like google scholar profile urls, maximum publications per profile, and more, to match your specific use case.
Receive the "Create an Academic RAG 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 profile url, user id, name, 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 "Create an Academic RAG Dataset" task via API.
