Xianyu Competitor Analyzer
Paste the following prompt into your AI chat to install this skill:
Please install @user_0720cd1c/xianyu-competitor-analyzer following https://skillhub.cn/install/skillhub.md.
About this skill
Problem context
Xianyu's web search and listing pages are often gated by login, while manually scanning competitor products makes it easy to miss pricing, title, condition, and trust-signal patterns. This skill addresses the practical problem of working with only the publicly visible sample: what can be observed, how to extract recurring patterns, and how to turn those patterns into a usable listing draft.
How it works
It opens goofish.com and prefers constructing a search URL such as /search?q=.... If a login modal appears or search is blocked, it falls back to the homepage “Guess You Like” section, sidebar categories, and visible product cards. It scrolls in 500-800px increments to collect roughly 15-20 samples, then extracts title, price, original price, want count, masked seller name, seller rating, brand tags, condition, and shipping tags. The analysis groups pricing ranges, frequent title keywords, promotional wording, trust signals, seller behavior, and condition distribution, then generates a product introduction template with keyword selection, price positioning, trust elements, and industry-appropriate tone.
Limitations
The result is a time-bounded web snapshot, not full inventory or transaction data. If login restrictions reduce search access, the sample may be smaller and more biased. Generated copy should follow platform rules and avoid copying competitor text verbatim. It is useful for competitive observation, title refinement, and pricing reference, not formal market intelligence or automated selling.
Use Cases
- Before listing a used GPU on Xianyu, collect visible competitor prices, condition, and title keywords to judge pricing and selling points.
- When preparing a category review, structure visible competitor cards by price, free shipping, seller rating, and want count for analysis.
- While refining listing copy, extract frequent keywords, trust phrases, and urgency wording to build a category-appropriate product introduction.
- Before selecting products, observe the mix of new and used items, seller ratings, and shipping strategies under a target keyword.
Best For
- Secondhand e-commerce operators who need to infer price bands, condition mix, and shipping strategies from visible competitor samples.
- Copy editors who need to extract high-frequency title keywords, trust signals, and wording structures to draft product introductions.
- Data analysts who need to turn visible product cards into structured fields for pricing and seller behavior analysis.
- Sellers or resellers who need to understand keywords, original-price discounts, and common trust phrases before listing a new item.
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