Automated Book Data Extraction and Storage

This n8n workflow is designed to automate the process of scraping, extracting, and storing book information from a web source into Google Sheets. It begins with a manual trigger, which allows users to test the workflow easily. The workflow then fetches data from a specified URL using an HTTP request node. The fetched data is processed by the Information Extractor, which uses AI-based natural language processing to parse relevant details like title, price, availability, and URLs from the raw text.

The extracted information is then split into separate items using the Split Out node, ready for organized storage. Each item is appended to a Google Sheet, creating an up-to-date catalog of book data. To enhance the process, an OpenAI Chat Model node can be integrated for further text analysis or refinement.

This workflow is ideal for scenarios such as monitoring book prices, tracking stock availability, or compiling data for market research, all without manual effort. It leverages AI-powered data extraction combined with automated data storage, making information gathering both efficient and scalable.