Semantic Scholar Scraper — example run
Ready-to-run Semantic Scholar Scraper. Search 200M+ papers on Semantic Scholar and get clean metadata: abstracts, AI-written TLDR summaries, citation and…
Input
Output fields
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The Semantic Scholar Scraper: Papers, Citations & Influence Actor is ready to run with the inputs already set for "Semantic Scholar Scraper — example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Semantic Scholar Scraper — example run" task
The Semantic Scholar Scraper: Papers, Citations & Influence Actor will start running based on the input automatically. You can also change all the input fields, like search queries, extra fields to fetch, and more, to match your specific use case.
Receive the "Semantic Scholar Scraper — example run" 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, year, venue, 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 "Semantic Scholar Scraper — example run" task via API.
