Extract structured recipe data from paginated pages usi

This automation template solves the problem of mass collecting and structuring culinary recipes from websites with pagination. Using Bright Data MCP for scraping and GPT-4o-mini via LangChain for AI parsing, it extracts clean, structured recipe data, saves it to JSON, and sends it via webhook. Ideal for populating databases, competitor content analysis, and automating web scraping workflows.

## Who it´s for
- Developers collecting culinary data for apps
- Marketers analyzing food-related competitor content
- Companies automating recipe scraping from websites
- Analysts needing structured data on dishes and dietary labels

## What the automation does
- Starts manually with a user-provided recipe search URL
- Scrapes the first results page using Bright Data MCP
- Detects pagination links and loops through all pages
- Sends HTML content to GPT-4o-mini via LangChain to extract structured data (title, ingredients, cook time, dietary tags, etc.)
- Saves extracted recipes into a local JSON file
- Sends results via HTTP webhook for downstream processing

## What´s included
- Ready-to-use n8n workflow
- Manual trigger and pagination loop logic
- Integrations with Bright Data MCP, OpenAI, and HTTP API
- Basic text guide for setup and adaptation

## Requirements for setup
- Bright Data account with MCP access
- OpenAI account with GPT-4o-mini access
- n8n instance (cloud or self-hosted)
- Target webhook endpoint (e.g., Webhook.site or internal service)
- Target recipe website URL (e.g., Tesco Real Food)

## Benefits and outcomes
- Automates manual recipe collection without copy-paste
- Delivers clean, standardized structured data
- Enables regular database updates with fresh recipes
- Supports competitor content and food trend analysis
- Accelerates content seeding for recipe recommendation apps
- Saves time in researching dish categories and dietary trends

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.