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C2C Marketplaces

Goofish (Xianyu / 闲鱼) Scraper: Sellers & Reviews ($1/1k)

Extract Goofish & Idlefish 闲鱼 (Xianyu) product search results, seller store profiles, active & sold inventory catalogs, buyer reviews, Zhima Credit ratings, unboxing photos, and shop stats. 55% lower cost with zero compute fees and risk-free start. MCP & AI Agent ready.

Storefront InventorySold Items TrackingResponse LatencyZhima Credit Audit
Pricing: $0.001 / item
•
Export: CSV / Excel / JSON / API
•
GitHub Repo & Samples →
sample_output.json
{
  "rowStatus": "ok",
  "recordType": "item",
  "id": "800000000001",
  "sellerId": "2200000000001",
  "sellerNick": "闲鱼优质卖家_01",
  "sellerCredit": "卖家信用极好",
  "city": "广东深圳",
  "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=800000000001"
}
Goofish (Xianyu / 闲鱼) Scraper: Sellers & Reviews ($1/1k) - UnitBytes

Features

What the Goofish (Xianyu / 闲鱼) Scraper: Sellers & Reviews ($1/1k) Extracts

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.

Integration

Run It From Python or n8n

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

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "mode": "search",
    "keyword": "iPhone 15",
    "maxItems": 20,
    "sortBy": "newest",
    "includeListings": True,
    "includeReviews": True
}

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

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("price"), item.get("originalPrice"))
⚡ n8n Automation Blueprint All 44 n8n Templates →

n8n Workflow Template

Schedule this scraper and send results to Google Sheets, Airtable, or Slack.

⬇ Download .json
Paste in n8n with Ctrl+V n8n.io/creators/unitbytes ↗

FAQ

Frequently Asked Questions

Q: Do I need a Chinese mobile number (+86) or Goofish account?

No. The scraper operates entirely autonomously in guest mode with automated session harvesting. No login, SMS codes, or personal account credentials are required.

Q: Can I paste an item link instead of a seller profile?

Yes. The scraper features automatic item resolution. Paste any Goofish item link (e.g. https://www.goofish.com/item?id=...), and the actor will identify the seller and scrape their complete profile, inventory, and reviews.

Q: What is the difference between summary and full detail level?

Summary: Extremely fast and cost-efficient. Fetches product titles, prices, primary images, locations, and status tags.

Q: How do I export to Excel or Google Sheets without broken columns?

Set "outputFormat": "tabular". This produces flat, spreadsheet-ready rows where each listing or review is its own record with seller metadata attached.

Goofish Seller & Reviews Playbook

How to Search & Scrape Goofish (Xianyu / 闲鱼) Without a +86 Phone Login in 2026 (API Guide)

Step-by-step guide with pricing and Python examples.

Read the guide →

Prefer Not to Run It Yourself?

Tell us what you need from Goofish (Xianyu / 闲鱼) Scraper: Sellers & Reviews ($1/1k) and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.