Парсер конкурентов Wildberries + Ozon: цены, остатки, рейтинги в Excel (Python)

Парсер конкурентов Wildberries + Ozon: цены, остатки, рейтинги в Excel (Python)

📦 FORMAT · VERSION · GUARANTEE — quick overview before buying
• Contents: ZIP: Python source code (WB + Ozon parser: console and GUI) + demo script + GUIDE.pdf + README
• Version: 1.0, verified September 2026
• Requirements: Python 3.9+ (optional curl_cffi needs 3.10+); deps via requirements.txt
• Delivery: automatic, by e-mail right after payment
• Guarantee: the product matches its description. If anything is wrong — write a personal message, we´ll sort it out or refund you.
• Terms: for personal use; resale is prohibited.

WILDBERRIES + OZON COMPETITOR PARSER PRO — PRICES, STOCK AND RATINGS IN ONE EXCEL

Collects competitors´ prices, warehouse stock, ratings and reviews for a niche on Wildberries and Ozon, compares them with your own prices and exports everything to Excel or CSV. One run shows where you are above the market, where you are dumping, and your real position in the niche. Python, GUI + command line, no subscriptions and no servers.

WHAT´S INSIDE:
• Collect a niche by search query (WB) or by a list of article IDs — WB, Ozon, or both
• Competitor price with the discount applied, stock per warehouse (WB), revenue forecast = price × stock
• Rating, review count and brand for every product
• "Mine vs competitors" comparison: your price, the delta in roubles and percent, your position in the price range
• Export to Excel (3 sheets: Products, Statistics, How to use) or CSV
• A graphical interface (Tkinter) and a console CLI — whichever you prefer
• Proxy support for the case where the marketplace blocks your IP
• An offline demo mode: python demo.py produces a ready-made sample export

WHO NEEDS IT:
• Active WB and Ozon sellers — track competitor prices across your niches
• Marketplace analysts and "niche analysis" services — a ready tool for clients
• Anyone launching a product — learn the price corridor and the niche median before buying stock

WHY IT WORKS:
The parser talks to public WB and Ozon product cards directly — no accounts and no paid analytics services. If the marketplace blocks the IP (data centre, VPN), a proxy is supported: --proxy http://user:pass@host:port. On a 429 it pauses and retries, on a 403 it prints a clear error instead of crashing silently. All code is open — parser_core.py, to_xlsx.py, wb_ozon_parser_pro.py, gui.py.

EXAMPLE FROM THE DEMO:
The "thermos" niche, 12 products: market corridor 999 – 2,899 RUB, median 1,699 RUB, average rating 4.58. Compared with my prices: one product is +0.4% above the market, others are 2–4% below, and the folding silicone thermos is +12.2% above the market while sitting at position 1/11 — you immediately see where the price is detached from the niche.

MY_PRICES.TXT FORMATS (article ID first, any separator):
12345678 2390
12345678 = 2390 rub
12345678: 2 390.00
12345678; 2390

EXAMPLE COMMANDS:
python wb_ozon_parser_pro.py wb --query "thermos for coffee" --pages 3 --out niche.xlsx
python wb_ozon_parser_pro.py wb --articles 227035389 262719540 --out my.xlsx
python wb_ozon_parser_pro.py ozon --articles 227035389 --out my.csv

VERIFIED BEFORE SALE:
• 75 checks: parsing of real WB and Ozon responses, every my_prices format, price comparison, the median for both even and odd item counts, statistics, Excel and CSV output, and an integration test of the full pipeline
• Screenshots are from the parser´s demo export and the actual file opened in Excel

REQUIREMENTS: Python 3.9+, pip install -r requirements.txt (requests, openpyxl; optionally curl_cffi to bypass WB protection, which requires 3.10+).

Guarantee: replacement or refund. The file is delivered automatically right after payment.

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