UnitBytes
UnitBytes Enterprise Data Labs
Reputation Intelligence

GooFish (闲鱼 Xianyu) Reviews & Reputation Scraper API

Extract authentic transaction reviews and customer reputation signals on Alibaba GooFish (闲鱼). Detect fraud patterns, evaluate merchant reliability, and analyze buyer sentiment.

Buyer Feedback TextPositive Rating RatiosTransaction TimestampsSeller Rebuttals
Pricing: Pay-Per-Event
•
Latency: Sub-Second
•
Format: JSON / CSV
normalized_output.json
HTTP 200 OK
{
  "reviewId": "rev_91823091",
  "sellerNick": "DigitalGeek_SH",
  "buyerNick": "u***89",
  "ratingType": "POSITIVE",
  "feedbackText": "Device arrived in immaculate condition. Battery health 100%, fast shipping, authentic seller!",
  "feedbackDate": "2026-09-24",
  "itemTitle": "iPhone 15 Pro Max 256GB Natural Titanium",
  "price": 5400,
  "sellerReply": "Thank you for your business! Enjoy the phone."
}
GooFish (闲鱼 Xianyu) Reviews & Reputation Scraper API Banner - UnitBytes Enterprise Web Data Engine

Engine Architecture

Key Extraction Capabilities

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

01

Comprehensive Feedback Text

Extract raw buyer commentary, item condition confirmations, shipping speed evaluations, and authenticity notes.

02

Rating Categories & Sentiment

Captures positive, neutral, and negative rating classifications alongside seller reply statements.

03

Associated Item Context

Links each review to the specific product title, transacted price, and category for deep context.

04

Historical Timeline Analysis

Extracts timestamps to identify whether a merchant reputation has improved or degraded over recent months.

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 = {
    "sellerId": "user_891284192",
    "maxReviews": 100
}

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

for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["buyerNick"], review["ratingType"], review["feedbackText"])

Technical Documentation

Frequently Asked Questions

Q: Can I filter for only negative reviews?

Yes. You can configure the input parameters to collect all reviews or filter specifically for negative/neutral feedback.

Q: Does this work on any seller on Xianyu?

Yes. Any public seller profile with transaction feedback can be audited.

Q: How is buyer privacy handled?

Buyer nicknames are automatically anonymized by Xianyu platform (e.g. u***89), preserving compliance while providing authentic sentiment.

Q: Can I run this on a recurring schedule to monitor merchant reviews?

Yes, schedule recurring runs via Apify or trigger dynamically via API to maintain an up-to-date trust score for your vendor network.

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