Contact person: Retail Product Data Scraping -- 2

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Location: Jahazpur, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need product information gathered from a set of retailers’ websites and compiled into one clean, structured Excel workbook. The fields I care about are the product name, SKU or model number, price, availability status, and the product page URL. Each retailer has its own site layout, so the scraping method must handle variation in HTML structure while remaining resilient to minor front-end changes.

Please keep the worksheets consistent—one sheet per retailer—with uniform column headers so I can filter and pivot the data easily later on. The final deliverable is the Excel file plus the runnable script (Python, Node, or another language of your choice) and a short read-me outlining setup, libraries used, and basic troubleshooting steps.

Accuracy and completeness matter more than speed; if a product field is missing on a page, note that explicitly in the sheet rather than leaving it blank." (client-provided description)