WB SEO Description Generator: Python Source Code

Product description

A WILDBERRIES SEO DESCRIPTION GENERATOR IN PYTHON SOURCE CODE

The full source code of a description generator for WB listings: the description is assembled from real characteristics using proven templates — no neural networks and no invented facts. A built-in SEO score, a check for banned words and three output styles.

WHAT'S INSIDE:

• wbdesc_cli.py — 4 commands: gen, check, variants, bot
• wbdesc_core.py — paragraph templates, a material-benefits dictionary, an SEO score — tested without a network
• test_wbdesc_core.py — 65 checks, run with one command
• requirements.txt, .env.example, GUIDE.pdf

WHAT IT CAN DO:

• Assemble a description from the name, category and characteristics
• Turn characteristics into benefits through a materials dictionary (cotton, ceramics, Teflon…)
• Pick usage scenarios for the product's category
• Compute an SEO score: length, keywords, readability, penalties
• Catch words banned on WB: "best", "promotion", "hit", "hurry to buy"
• Output 3 styles: standard, short, detailed
• Run as a CLI or as a bot in Telegram

WHY IT IS BETTER THAN A NEURAL NETWORK:

Neural networks invent characteristics the product does not have — and WB blocks the listing for unreliable information. Here the facts come from your data and the paragraph templates are tuned to the platform's requirements. Run it, check it, publish.

WHO IT'S FOR:

Sellers with dozens or hundreds of listings: writing 1000+ character descriptions by hand takes an hour per product, here it is seconds. The 65 tests guarantee the templates will not break.

FORMAT: .py sources + a PDF guide. Instant file delivery after payment.

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