Fang.com Data Scraping API Real-Time New-Home, Presale & Housing Price Index Data

Author : creative clicks1733 | Published On : 23 Sep 2026

Introduction

Fang.com is a major Chinese real estate platform covering new-build presale properties, second-hand homes, rentals, and housing price index data. With property prices, availability, presale permits, developer information, and market trends changing frequently, businesses need accurate and fresh housing intelligence. The Fang.com Data Scraping API enables real estate agencies, investors, researchers, PropTech companies, and analytics firms to collect property listings, prices, price per sqm, presale permits, delivery dates, developer credit ratings, reviews, city-tier data, and housing price indexes in structured formats.

Monitor Property Pricing & Market Performance

Fang.com data helps businesses monitor property prices, price per sqm, historical price indexes, listing availability, presale permits, and developer information. Organizations can compare property values, track market trends, analyze new-build projects, and benchmark Chinese housing markets.

Business Challenge Business Benefit
Dynamic property prices Real-time price monitoring
Changing inventory Fresh market intelligence
Presale permit changes Better compliance research
Market index movements Improved trend analysis

Strengthen Property & Developer Intelligence

The Fang.com Real Estate Data API provides structured information including property IDs, project names, building phases, unit types, prices, price per sqm, presale permit numbers, issuance and delivery dates, developer names, credit ratings, city-tier classifications, property area, floors, orientation, listing status, days on market, photos, renderings, project reviews, developer ratings, and location hierarchy. This supports property valuation, developer research, project analysis, and competitive benchmarking.

Automate Large-Scale Real Estate Monitoring

Businesses can monitor new-build presale listings, second-hand properties, rentals, projects, reviews, developer credit ratings, presale permits, and city-level price indexes through dedicated API endpoints. Automated extraction supports recurring monitoring, bulk collection, historical price tracking, compliance research, lower-tier city analysis, delivery-timeline tracking, and China-wide real estate intelligence.

Key Features

  • Real-time property data extraction
  • Property price and price-per-sqm monitoring
  • Presale permit number and status
  • Presale issuance and delivery dates
  • Developer credit ratings
  • City-tier classification
  • Housing price index history
  • New-build and resale property data
  • Rental listing data
  • Project and developer reviews
  • Listing freshness and status
  • Photos and floor plans
  • Bulk extraction up to 10,000 listing IDs
  • JSON, CSV, and webhook delivery

Unlock Smarter Real Estate Analytics

Fang.com datasets support property price comparison, housing price trend analysis, presale compliance research, developer credit tracking, new-home project analysis, lower-tier city research, delivery-timeline monitoring, competitive benchmarking, and machine-learning dataset creation.

How Real Data API Can Help

Real Data API provides a scalable Fang.com Data Scraping API for extracting property, pricing, presale, developer, review, rental, and price-index data. Businesses can use custom fields, bulk requests, scheduled collection, historical tracking, and structured JSON or CSV delivery to integrate Fang.com intelligence into analytics platforms and real estate workflows.

Conclusion

Automated Fang.com data collection helps businesses monitor Chinese property prices, analyze presale projects, track permits and delivery timelines, evaluate developers, and understand housing market trends. By leveraging the Fang.com Data Scraping API, real estate companies, investors, researchers, and PropTech businesses can transform property data into actionable market intelligence and make data-driven decisions.

 

Source: https://www.realdataapi.com/fang-api.php
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