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WEAR (ZOZO) Fashion Coordinate & Outfit Scraper

ECOMMERCEFOR CREATORSMARKETING

Independent tool. Trademarks referenced on this page are the property of their respective owners and are used only to identify the public website this tool reads. No affiliation or endorsement.

WEAR (ZOZO) Fashion Coordinate & Outfit Scraper

Scrape outfit coordinates from WEAR (wear.jp) — Japan's largest ZOZO-backed fashion-coordinate community. Extract rich outfit data including tagged apparel items with ZOZO product purchase links, brand associations, style and season tags, Wearista influencer status, engagement metrics (likes, views), and body-context metadata (height, gender).

What this actor extracts

Each outfit coordinate record includes:

Field Description
coordinate_id WEAR's unique coordinate ID
detail_url Canonical URL of the coordinate page
image_url Main outfit photo URL
user_name WEAR username
nick_name Poster's display name
is_wearista Whether the poster is a verified Wearista influencer
gender Outfit gender category (WOMEN / MEN / KIDS)
height_cm Poster's height in centimeters
like_count Number of likes
view_count Number of views
title Coordinate title or description
published_at Publish timestamp (ISO-8601)
tagged_items Apparel items: name, brand, size, price, ZOZO link
brands Brand names featured in the coordinate
tags Style and season tags (e.g. "きれいめカジュアル", "休日スタイル")
scrapedAt ISO-8601 scrape timestamp

Input parameters

Parameter Type Default Description
maxItems integer 10 Maximum number of coordinates to scrape
gender string "all" Filter by gender: "all", "women", "men", or "kids"
sortBy string "popular" Sort order: "popular" (most liked) or "new" (latest)

Use cases

  • JP fashion-trend intelligence: Identify which brands and styles are popular by gender, height, season, and engagement score.
  • Influencer marketing research: Surface top Wearistas (verified influencers) with their outfit-product associations and engagement data.
  • Shoppable coordinate-tag graph: Map real JP street-style outfits to ZOZO-stocked apparel with direct purchase links.
  • Competitive fashion analysis: Track brand co-occurrence patterns across thousands of real-world outfits.

Sample output

{
  "coordinate_id": 26703460,
  "detail_url": "https://wear.jp/ochimhan/26703460/",
  "image_url": "https://images.wear2.jp/coordinate/QWio67p0/ClLA7Qem/1779760881.jpg",
  "user_name": "ochimhan",
  "nick_name": "OKIRI",
  "is_wearista": true,
  "gender": "WOMEN",
  "height_cm": 161,
  "like_count": 66,
  "view_count": 6768,
  "title": "NOGLEのスラックスを使ったコーディネート",
  "published_at": "2026-06-01T16:28:20+09:00",
  "tagged_items": [
    "【NOGLE/ノグル】ウエストタックワイドカーブスラックス | NOGLE / パンツ | FREE | ¥6,600 | https://zozo.jp/sp/brand/nogle/...",
    "ROUND NECK KNIT | PAES / トップス | FREE | ¥4,950 | https://zozo.jp/sp/brand/paes/..."
  ],
  "brands": ["NOGLE", "PAES", "CONVERSE", "MARC JACOBS"],
  "tags": ["きれいめカジュアル", "プチプラ", "休日スタイル", "バルーンパンツ"],
  "scrapedAt": "2026-06-10T15:40:00.000Z"
}

Notes

  • WEAR caps the browsable feed at 10,000 coordinates. For larger datasets, consider multiple gender/sort filter combinations.
  • The actor respects WEAR's crawl-delay: 10 from robots.txt by running at low concurrency with request delays.
  • All data is extracted from Next.js SSR-rendered HTML — no authentication required.