This n8n workflow automates the process of scraping, summarizing, and sharing company reviews from Glassdoor. It fetches company data through Bright Data’s web scraper, uses AI models to analyze and generate summaries, and then sends the summarized insights via a webhook. The workflow is triggered manually, making it ideal for on-demand data analysis of company reviews for HR or market analysis purposes.

The process begins with a manual trigger to initiate data collection. It then triggers a web scraping request to Bright Data to obtain Glassdoor company reviews. The workflow waits for the snapshot to be ready, checks the status periodically, and retrieves the data once available. The raw data undergoes text splitting for better processing.

Next, the workflow employs Google’s Gemini AI model for summarization, producing a concise overview of the company reviews. This summary is then sent externally via a webhook, facilitating immediate sharing or further processing. The workflow leverages AI, web scraping, and HTTP integrations, making it a powerful tool for HR teams, market researchers, or analysts seeking quick insights into company reputation on Glassdoor.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, httpRequest, if, manualTrigger, set, stickyNote, wait