UnitBytes
UnitBytes Enterprise Data Labs
C2C Marketplaces

Goofish Scraper: 闲鱼 Xianyu Sellers, Inventory & Reviews

Audit high-volume power sellers, flippers, and merchant storefronts across GooFish (闲鱼). Extract entire merchant inventory catalogs, historical sold volumes, and credibility metrics.

Storefront InventorySold Items TrackingResponse LatencyZhima Credit Audit
Pricing: $0.0035 / item
•
Latency: Sub-Second
•
Format: JSON / CSV
normalized_output.json
HTTP 200 OK
{
  "rowStatus": "ok",
  "recordType": "item",
  "sellerId": "2217730303960",
  "sellerName": "数码电玩玩家",
  "sellerCreditRating": "信用极好",
  "sellerLocation": "广东深圳",
  "itemId": "847291847192",
  "title": "任天堂 Switch OLED 日版 续航增强版 白色 99新",
  "price": 1450.0,
  "originalPrice": 2199.0,
  "status": "onsale",
  "freeShipping": true,
  "url": "https://www.goofish.com/item?id=847291847192"
}
Goofish Scraper: 闲鱼 Xianyu Sellers, Inventory & Reviews Banner - UnitBytes Enterprise Web Data Engine

Engine Architecture

Key Extraction Capabilities

Built specifically for high-throughput enterprise pipelines with zero credential leakage.

01

Complete Active Listing Catalogs

Extract every active item a seller has listed, including tiered pricing, descriptions, and uploaded photos.

02

Historical Sales Velocity

Analyze sold item counts and transaction velocity to identify top-performing secondary market categories.

03

Response Rate & Engagement

Collect seller average response times, active hours, and follower counts to gauge merchant professionalism.

04

Risk & Fraud Scoring

Audit merchant account creation date, dispute ratios, and Zhima credit rating to identify dependable suppliers.

Instant Developer Integration

Run in Your Application in 3 Lines

Trigger extractions via the official Apify Client or standard REST endpoints.

Python SDK • pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "sellerInputs": [
        "https://www.goofish.com/personal?spm=a21ybx.item.itemHeader.1.740c3da6vQDa24&userId=2216555697343"
    ],
    "includeListings": True,
    "includeReviews": True,
    "outputFormat": "nested",
    "maxListings": 20,
    "maxReviews": 30,
    "detailLevel": "summary",
    "statusFilter": "all"
}

run = client.actor("unitbytes/goofish-xianyu-seller-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("sellerName"), item.get("price"))

Technical Documentation

Frequently Asked Questions

Q: Can I scrape all listings from a seller who has hundreds of items?

Yes. The scraper handles pagination automatically, extracting hundreds of listings per storefront up to your specified maximum.

Q: How can this help with e-commerce arbitrage?

By monitoring top power-sellers on Xianyu, you can detect underpriced inventory, bulk liquidation lots, and trending collector commodities.

Q: Does this require seller credentials or API keys?

Zero login required. Provide the seller profile URL or user ID and the scraper extracts public storefront data automatically.

Q: What format is the nested inventory data delivered in?

Data is delivered in normalized JSON with nested listing arrays, or flattened tabular rows for easy Excel/CSV analysis.

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Enterprise SLA & Custom Pipelines

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Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.

Ready to Deploy Goofish Scraper: 闲鱼 Xianyu Sellers, Inventory & Reviews?

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