This n8n workflow automates the process of extracting detailed company information from Crunchbase to support B2B lead discovery. When triggered manually, it begins by setting a target URL and Bright Data zone for web scraping. The workflow then performs a web request via Bright Data to fetch the company’s Crunchbase page. The retrieved Markdown content is processed with OpenAI’s language models to generate clean textual data. The workflow then extracts structured company details, such as industry, founder info, funding, and recent news, and saves both raw and summarized data to disk. Additionally, it sends a webhook notification with the extracted summary, making it easy to integrate the results into other systems. This setup is ideal for market research, lead qualification, and competitive intelligence, enabling businesses to automate data collection and analysis from Crunchbase efficiently.
Automated Market Data Extraction and Summarization Workflow
Node Count | >20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, function, googleSheets, httpRequest, manualTrigger, readWriteFile, set, stickyNote |
Reviews
There are no reviews yet.