Real-World Use Cases
Explore practical applications of MrScraper's Multi-Agent Flow for comprehensive data extraction from websites.
Use Case 1: Complete E-Commerce Catalog Scraping
Scenario: Extract all product data from an online bookstore starting with only the homepage URL
Workflow Process:
Discover Site Structure
Use Map Agent on https://bookstore.com to discover all URLs including category pages, product pages, and other sections.
Filter Category URLs
Identify and extract only category/listing page URLs (e.g., URLs containing /category/, /books/, /genre/). Exclude non-relevant pages like account, cart, and legal pages.
Extract All Product URLs
Use Listing Agent on each category page to collect all book listings with basic info (title, price, rating) and their detail page URLs.
Scrape Complete Details
Use General Agent on each product URL to extract comprehensive information including full description, specifications, author details, ISBN, reviews, and availability.
Aggregate and Save
Combine all extracted data into a unified dataset and export as JSON or CSV for analysis or integration.
Result
Complete catalog of all books with detailed information from the entire website.
Use Case 2: Multi-Category Product Comparison
Scenario: Compare laptop specifications across multiple electronics retailers
Workflow Process:
Prepare Target URLs
Compile a list of specific laptop category URLs from different retailers (e.g., retailer1.com/laptops, retailer2.com/computers/notebooks).
Extract Product Listings
Use Listing Agent on each retailer's laptop category page to gather all available laptop listings with prices and detail URLs.
Collect Detailed Specifications
Use General Agent on each laptop's detail page to extract complete specifications: processor, RAM, storage, display, graphics, battery life, and weight.
Normalize and Compare
Standardize data formats across retailers (e.g., convert all prices to same currency, normalize specification names) for accurate comparison.
Generate Insights
Analyze price ranges, identify best value products, compare specifications across brands, and create comparison reports.
Result
Comprehensive comparison database enabling price analysis and specification matching across multiple retailers.
Use Case 3: Real Estate Market Analysis
Scenario: Analyze property listings across an entire metropolitan area
Workflow Process:
Discover All Locations
Use Map Agent on the real estate site to find all neighborhood, district, and area listing pages.
Extract Property Listings
Use Listing Agent on each location page to collect property cards with address, price, bedrooms, bathrooms, and property URLs.
Get Property Details
Use General Agent to extract complete information: full description, amenities, lot size, year built, property tax, HOA fees, and agent contact.
Geographic Analysis
Group properties by location, calculate average prices per neighborhood, identify price trends, and map property distribution.
Result
Complete market analysis with pricing trends, property distribution, and neighborhood insights.