WB SEO Description Generator: Python Source Code

WB SEO Description Generator: Python Source Code

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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⟶ Avito ads parser: search, prices, new-listing monitoring (Python) — plati.market/itm/6174776