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Overview

The MongoDB Integration combines the power of Stagehand’s AI-driven web scraping capabilities with MongoDB’s flexible document storage to create a comprehensive data extraction and analysis pipeline. This integration demonstrates how to scrape e-commerce websites intelligently, extract structured product data, and store it in MongoDB for persistent querying and analysis.

AI-Powered Extraction

Uses natural language instructions to extract structured data from complex web pages

Schema Validation

Built-in Zod schemas ensure data consistency and type safety

MongoDB Storage

Persistent storage with automatic indexing and optimized queries

Data Analysis

Built-in analytics queries for immediate insights into scraped data

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What You’ll Learn

By following this integration guide, you’ll learn how to:
  • Set up intelligent web scraping with natural language instructions
  • Design robust data schemas for web-scraped content
  • Implement MongoDB storage with automatic indexing
  • Build data analysis pipelines for scraped data
  • Handle errors and edge cases in web scraping workflows
  • Optimize performance for large-scale data extraction
This integration is perfect for developers who want to combine the power of AI-driven web scraping with robust data storage and analysis capabilities.

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Next Steps

Quickstart Guide

Get up and running with the MongoDB integration

API Reference

Explore the complete API documentation