Find Recent Protein Folding Papers on Google Scholar
Dataspryva
Search Google Scholar for recent machine learning research on protein folding. Results include paper titles, authors, publication years, venues, citation counts, and links. Set the query or earliest publication year to adapt the search for another topic or time period.
Input
Output fields
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The Google Scholar Paper & Citation Search Scraper Actor is ready to run with the inputs already set for "Find Recent Protein Folding Papers on Google Scholar". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Find Recent Protein Folding Papers on Google Scholar" task
The Google Scholar Paper & Citation Search Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search queries, published after (year), and more, to match your specific use case.
Receive the "Find Recent Protein Folding Papers on Google Scholar" 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 record, title, author, 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 "Find Recent Protein Folding Papers on Google Scholar" task via API.
Integrate "Find Recent Protein Folding Papers on Google Scholar" into your workflow
Connect "Find Recent Protein Folding Papers on Google Scholar" with 100+ integrations, or run it via API or MCP.
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The protein paper search task returns paper titles, authors, years, venues, citation counts, links, and related record details when available. Results appear in a dataset.
The protein paper search task is set to return at most 20 results for this search. Google Scholar serves about 10 results per page, and deep pagination may return fewer.
The protein paper search task saves results to a dataset that you can download as CSV, Excel, JSON, XML, RSS, or an HTML table, or read through the Apify API.
To adapt the protein paper search task, change the search phrase or earliest publication year in the task input. Each query runs separately.
For the protein paper search task, the configured 20-result limit makes the result charge at most $0.02 on the Free plan. The run also has an Actor Start charge and Apify platform usage costs.
You can run the protein paper search task on an Apify Schedule, through the Apify API, or with integrations such as Zapier, Make, and n8n.