Anjuke (安居客) Data Parser & API

Anjuke is one of China’s largest property portals — ~12M monthly web visits (Similarweb) with tens of millions of mobile users — and PropAPIS extracts its resale, rental, new-build and commercial listings, agent and project data through a single REST API. A unit of 58.com, Anjuke is a national portal covering hundreds of mainland cities, though China is the hardest parse target in the region.

Platform Overview

Market Position

• One of China’s top property portals — ~12M monthly web visits (Similarweb), with ~67M mobile users claimed
• Owned by 58.com, alongside the 58 Tongcheng classifieds platform
• Competes with KE Holdings’ Beike/Lianjia and Fang.com (房天下) nationally
• China web-visit numbers understate real usage — the market is mobile-app-first (per the research report)

Market Coverage

Geographic Coverage:

• Tier-1 cities: Beijing, Shanghai, Guangzhou, Shenzhen
• Hundreds of mainland prefecture-level cities
• New-build project coverage nationwide

Property Types:

• Apartments and residential units
• Resale (second-hand) housing
• New-build / developer projects
• Commercial (offices, retail)

Data Availability

Anjuke surfaces community-level (小区) listing and pricing data alongside agent and developer project information. As with all mainland portals, access is the key blocker: GeeTest slider CAPTCHAs, browser fingerprinting and Great-Firewall latency make reliable extraction the most expensive in the region (per the research report).

Data Fields Available

PropAPIS extracts structured data from each Anjuke listing:

Property Information

• Address: Community (小区), building and district
• Price: Sale price or rent
• Bedrooms and Bathrooms
• Property Type: Apartment, house, commercial unit
• Area: Built-up area (sq m)
• Floor and Orientation

New-Build / Project Data

• Developer: Developer name
• Project: Development / project name
• Sales Status: On-sale / pre-sale where shown

Listing Details

• Description: Full listing text
• Photos: Image URLs
• Community: 小区 name and reference
• Listed Date

Agent Information

• Agency: Agency name and branch
• Agent: Listing agent name
• Agent Contact: Where published

Location Data

• District and Community
• City
• Coordinates: Latitude and longitude where available

API Endpoints

Get Property Details

from propapis import PropAPIS
 
api = PropAPIS(api_key='your_api_key')
 
# Get a listing by URL or ID
property_data = api.platforms.anjuke.get_property(
    listing_id='12345678'
)
 
print(f"Title: {property_data.title}")
print(f"Price: CNY {property_data.price:,}")
print(f"Community: {property_data.community}")
print(f"Area: {property_data.area} sqm")

Search Listings

# Search Anjuke listings
listings = api.platforms.anjuke.search(
    city='Shanghai',
    purpose='for-sale',
    min_price=2000000,
    max_price=8000000,
    min_bedrooms=2
)
 
for listing in listings[:10]:
    print(f"{listing.title} - CNY {listing.price:,}")
    print(f"  {listing.community} | {listing.area} sqm")

Search New-Build Projects

# Search new-build / developer projects
projects = api.platforms.anjuke.search_newbuild(
    city='Shanghai'
)
 
for project in projects[:5]:
    print(f"{project.name} - {project.developer}")
    print(f"  Status: {project.sales_status} | from CNY {project.min_price:,}")

Quick Start

from propapis import PropAPIS
 
api = PropAPIS(api_key='your_api_key')
 
# Search Anjuke listings in Shanghai
listings = api.platforms.anjuke.search(city='Shanghai', purpose='for-sale')
 
for listing in listings[:5]:
    print(f"{listing.title} - CNY {listing.price:,}")

import { PropAPIS } from 'propapis';
 
const api = new PropAPIS({ apiKey: 'your_api_key' });
 
// Search Anjuke listings in Shanghai
const listings = await api.platforms.anjuke.search({
  city: 'Shanghai',
  purpose: 'for-sale',
});
 
listings.slice(0, 5).forEach((l) => {
  console.log(`${l.title} - CNY ${l.price.toLocaleString()}`);
});

curl "https://api.propapis.com/v1/platforms/anjuke/search?city=Shanghai&purpose=for-sale" \
  -H "Authorization: Bearer your_api_key"

Frequently asked questions

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