We extract apparel listings, brand catalogues, pricing signals, ZOZOMAT sizing charts, and inventory depth from Zozotown. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Apparel Listings objects from zozotown.com. All fields typed and schema-versioned.
"product_id": "12345", "brand_name": "BEAMS", "title": "Oversized Cotton Tee", "price": 4500.0, "discount_pct": 10, "zozomat_compatible": true
| # | product_id | brand_id | brand_name | category | sub_category | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from zozotown.com. All fields typed and schema-versioned.
"product_id": "12345", "colour": "Navy", "size": "M", "price": 4500.0, "stock_status": "In Stock", "stock_quantity": 14, "coupon_eligible": true
| # | product_id | sku | colour | size | price | coupon_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for ZOZOUSED objects from zozotown.com. All fields typed and schema-versioned.
"item_id": "U8921", "brand_name": "UNITED ARROWS", "condition_rank": "A", "price": 2800.0, "original_price": 8000.0, "release_season": "2025 SS"
| # | item_id | brand_name | category | condition_rank | condition_detail | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand Data objects from zozotown.com. All fields typed and schema-versioned.
"brand_id": "B001", "brand_name": "nano universe", "follower_count": 145000, "category_rank": 3, "total_items": 2104, "sale_items": 450
| # | brand_id | brand_name | brand_url | follower_count | category_rank | total_items |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for WEAR Coordinates objects from zozotown.com. All fields typed and schema-versioned.
"coordinate_id": "C9921", "user_height": 175, "total_price": 24500.0, "like_count": 342, "view_count": 12500, "linked_products": "['12345', '67890']"
| # | coordinate_id | user_id | user_height | gender | items_worn | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Zozotown scraper handles storefront listings, ZOZOUSED second-hand inventory, WEAR coordinate mapping, and dynamic sizing charts, with proxy rotation and JavaScript rendering built in.
Extract apparel details, materials, care instructions, and high-resolution image arrays across all categories and brands.
Track dynamic pricing, ZOZO points accrual, time-limited sales, and brand-specific coupon eligibility.
Capture detailed size charts, multi-dimensional measurements, and ZOZOMAT compatibility flags per SKU.
Monitor SKU-level availability across colour and size matrices, including low-stock warnings and restock dates.
Scrape second-hand inventory, condition grading (S to D), and historical release seasons for used apparel.
Track brand popularity, follower counts, and category dominance metrics over time.
Extract user-generated outfit coordinates, sizing context, and linked product IDs from the WEAR integration.
Monitor upcoming releases, reservation windows, and estimated delivery timelines for highly anticipated drops.
Run pipelines at hourly, daily, or weekly intervals with change-detection diffing to minimise payload size.
Brief in. Clean data out.
Provide brand URLs, category paths, or keyword lists. We map the required schema for Japanese fashion data.
We configure Scrapy spiders, Japanese residential proxies, and handle pagination across Zozotown storefronts.
Schema validation, translation mapping if required, and null-rate checks on pricing and inventory fields.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Zozotown employs strict rate limits and geo-fencing. We manage the proxy rotation and JavaScript rendering required for reliable extraction.
Zozotown heavily throttles or blocks non-Japanese IP addresses. We route all requests through high-reputation Japanese residential proxies to maintain access.
Stock status and matrix availability are loaded asynchronously. We use Playwright to execute JavaScript and capture the final DOM state.
Apparel listings feature multi-dimensional variants including colour, size, and custom fits. Our schema normalises these into flat, queryable records.
We maintain hash indexes of product states. Subsequent runs only emit records when price, stock, or points values change.
Pipelines emit structured logs to Grafana. We alert on schema drift, block rates, and inventory nulls automatically.
Fashion brands track competitor pricing, discount cadences, and coupon strategies across identical or substitute categories.
Retailers monitor stock depletion rates and category rankings to predict upcoming seasonal trends and optimise procurement.
Resellers use ZOZOUSED condition grading and pricing data to calibrate their own second-hand apparel valuations.
Agencies track brand follower growth, ranking positions, and new arrival velocity to assess market penetration in Japan.
Apparel manufacturers analyse ZOZOMAT measurements and size charts to optimise their own pattern grading for the Japanese market.
Machine learning teams use WEAR coordinate data and linked product IDs to train outfit recommendation engines.
"Zozotown holds the definitive dataset for Japanese fashion trends, sizing standards, and real-time apparel pricing, provided you can bypass the IP restrictions."
Extracting data from Zozotown requires navigating aggressive geo-blocking, asynchronous inventory loading, and complex variant matrices. DataFlirt handles the Japanese proxy infrastructure, JavaScript rendering, and schema normalisation so your team receives clean, structured apparel data ready for analysis.
Everything supported by our zozotown.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Handles orchestration, deduplication, and JavaScript execution for asynchronous inventory widgets.
Maintains high-reputation residential IPs strictly within Japan to prevent geo-blocking and rate limiting.
Orchestrated via Airflow on Kubernetes, ensuring pipeline resilience and strict SLA adherence.
Data delivered to where your team already works — no new tooling required.
About zozotown.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, product, and inventory data is generally permissible. We do not extract authenticated user data or personal measurements.
We route all traffic through ISP-grade residential proxies located in Japan, mimicking legitimate domestic user traffic.
Yes. We capture condition grades, used pricing, original pricing, and release seasons for all ZOZOUSED listings.
Our schema flattens complex matrices. A single product with 4 colours and 3 sizes yields 12 discrete SKU records with individual stock statuses.
Pipelines extract raw Japanese text by default. We can integrate translation APIs downstream if English localisation is required.
For targeted SKU lists, we can configure high-frequency pipelines delivering updates via webhook within minutes.
Yes. We extract the outfit images, user height, gender, and the exact Zozotown product IDs linked to the coordinate.
20-minute scoping call. Pilot dataset within the week. Production within two. From brand catalogues to real-time inventory tracking, we build and manage the extraction infrastructure. Specify your target categories and delivery cadence.
