This n8n workflow automates the process of scraping recipe data from a website, extracting structured information, and notifying via webhook. Designed for web scraping and data mining, it combines Bright Data MCP for webpage content scraping with OpenAI’s GPT for data processing. The workflow begins with a manual trigger, configures the target URL, then proceeds to scrape paginated webpage content. It loops through each page, extracts relevant recipe details, and structures the data using language models. The results are saved locally, with options to notify via webhooks about each data extraction. This process is ideal for aggregating recipes, monitoring food websites, or building recipe databases.
Automated Recipe Data Extraction with Bright Data & OpenAI
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, function, httpRequest, manualTrigger, n8n-nodes-mcp.mcpClient, readWriteFile, set, splitInBatches, stickyNote, wait |
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