Quotes Extract with Bright Data and Google Gemini

This n8n workflow automates the process of extracting quotes from web pages and generating insightful responses with AI. The workflow starts with a manual trigger, where the user initiates the process. It then sets specific parameters such as the target URL and a zone identifier. The workflow utilizes Bright Data’s web scraping capabilities to fetch content from the specified URL, specifically a quotes page from Goodreads. The retrieved data is processed through an AI language model using Google Gemini to generate a contextually relevant response or summary. Additionally, a quote extraction module isolates individual quotes from the fetched content, which can be stored, analyzed, or further processed.

This workflow is ideal for content creators, researchers, or marketers who want to automate the collection of quotes for social media, blog content, or sentiment analysis. By integrating web scraping with advanced AI capabilities, it enables efficient and scalable data extraction and processing.

Key components include a manual trigger for testing, a set node for input parameters, Bright Data for web scraping, a language model for AI processing, and a quote extractor for isolating quotes from large text blocks. The connections ensure data flows seamlessly from input to retrieval, AI processing, and quote extraction, providing a streamlined automation useful for content curation or data analysis tasks.