WB SEO Description Generator: Python Source Code

A WILDBERRIES SEO DESCRIPTION GENERATOR IN PYTHON SOURCE CODEThe 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.pdfWHAT 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 TelegramWHY 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.brbrWHO IT´S FOR:brSellers 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.brbrFORMAT: .py sources + a PDF guide. Instant file after payment.brbrbrMORE FROM THE SHOP:br⟶ Avito ads parser: search, prices, new-listing monitoring (Python) — e-market.su /6174776br