Product Data Scraper & Excel Reports
Turns online store product search results into structured Excel catalogs with prices, seller details, ratings and configurable filters.
- The task
- Collect product information from an online store in a format that can be reviewed and compared.
- My role
- The Python collection, product-detail enrichment, filtering and spreadsheet export workflow.
- Delivered
- Two Excel files: the collected product catalog and a filtered shortlist.
The output
Product data you can work with.
A full catalog for comparison. A filtered shortlist for a closer look.
| Product | Price | Rating | Seller |
|---|---|---|---|
| Desk lamp | 39.00 | 4.8 | Store A |
| Storage basket | 24.00 | 4.6 | Store B |
| Wall clock | 52.00 | 4.3 | Store C |
From product search to a usable spreadsheet.
A Python scraper that collects product listings from an online store for a search query, enriches them with product-card details and exports the results to Excel. It brings product information into one table for review and comparison.
- Product names, identifiers, links, prices and descriptions.
- Seller details, image links and product characteristics.
- Sizes, stock availability, ratings and review counts.
- Country of manufacture when available.
A full catalog and a focused shortlist.
The script produces two Excel files: the collected catalog and a filtered selection. Filters can narrow the results by rating, price and country of manufacture.
When a product card is unavailable, the script keeps the basic search information. Rate-limit responses trigger a delayed retry, and a filtered report can be empty when no products match the criteria.
Search results
Product details
Excel catalogsFor the technical team
Python
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