This n8n workflow automates the process of scraping Reddit posts related to specific keywords and analyzing the sentiment of comments to provide actionable insights. It starts with a manual trigger to initiate the process, then retrieves the status of a Bright Data dataset to ensure data is ready. It fetches Reddit posts through an API call, filters for relevant posts, and loops through comments for sentiment analysis using AI-powered language models. The sentiment results are categorized, filtered, and recorded into a Google Sheet for further review. This workflow is ideal for social listening, market research, or monitoring brand reputation by understanding user sentiment around specific topics or events like WWDC. The process includes data fetching, text classification, sentiment analysis, data merging, and storing results systematically.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.sentimentAnalysis, @n8n/n8n-nodes-langchain.textClassifier, filter, googleSheets, httpRequest, manualTrigger, merge, set, splitInBatches, splitOut, stickyNote, switch, wait