This workflow automates the process of extracting and summarizing company information from Indeed using Bright Data web unlocking services and Google’s Gemini AI models. It is designed to streamline market research or HR tasks by gathering detailed company data, performing NLP-based summaries, and sending results via webhooks. The process begins with a manual trigger, where the user sets a search query (e.g., ‘Starbucks’). The workflow then makes a web request to Bright Data’s API to scrape the company’s Indeed profile. The raw data is processed through multiple AI nodes: first, to convert Markdown content into textual data; second, to generate concise summaries using Google’s Gemini AI model. Finally, the summarized results are formatted and sent through webhooks for further use in dashboards, notifications, or additional automation, enabling efficient analysis of company profiles.
Automated Company Info Extraction & Summarization with AI
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.toolHttpRequest, httpRequest, manualTrigger, markdown, set, stickyNote |
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