Magento 2 Specialist: High-Volume Data Scraping & Product Integration

Project Overview I am seeking an expert Magento 2 Developer with strong data extraction (scraping) capabilities to build out a comprehensive medical supply catalog. The previous developer started a sample set but is no longer on the project. I need a professional to scrape high-volume product data and perform a structured, complex import into my Magento 2 staging site. Scope of Work 1. Data Scraping & Extraction Source: Target website (medical supply industry) to be provided. Requirements: Full extraction of Product Titles, High-Res Images, Long/Short Descriptions, SKUs, and Technical Specifications. Variation Mapping: Correctly identify and link "Simple" products to their "Configurable" parents (e.g., mapping different sizes or packaging options to a single product page). 2. Magento 2 Data Architecture Attribute Management: Create and assign "Attribute Sets" (e.g., Wound Care, Equipment) to ensure products have relevant, searchable filters. Configurable Product Setup: Ensure variations like Size, Packaging (Box/Case), and Color are correctly mapped as selectable options on the frontend. Category Mapping: Organize the high-volume data into a multi-level category structure. 3. Execution & Optimization Direct Import: Perform the import directly into our staging environment ([login to view URL]). System Stability: Use professional import methods (CLI, Magmi, or specialized extensions) to ensure the server handles the high-volume injection without timeouts. Post-Import: Handle full re-indexing and image cache generation. Technical Requirements Proven experience with High-Volume Magento 2 Imports. Advanced scraping skills (Python/Scrapy or equivalent). Deep understanding of Configurable vs. Simple product relationships. Ability to join a Web Meeting to finalize store configurations, tax classes, and category IDs. How to Apply Please highlight your experience with large-scale Magento catalogs and the specific tools you use for both scraping and importing.

Project ID: 40281263