This n8n workflow automates the process of gathering research paper data based on a user-defined topic. Starting with a manual trigger and simple input, it leverages Bright Data’s proxy API to safely scrape web pages such as Google Scholar. The workflow then extracts key details like titles, authors, abstracts, and PDF links from the raw HTML content, cleans and structures this data using custom JavaScript code, and finally, appends the organized information into a Google Sheets document. This entire process is designed for ease of use, making it ideal for researchers or students who want to compile scholarly articles without manual searching or data entry. The workflow emphasizes user-friendliness, automation, and efficient data management, saving time and reducing effort in research tasks.
Automated Research Paper Data Extraction to Google Sheets
Node Count | 11 – 20 Nodes |
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Nodes Used | code, googleSheets, html, httpRequest, manualTrigger, set, stickyNote |
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