Housing Price Estimation and Average Price Calculation Using 58.com Data and CatBoost

This article presents a comprehensive overview of 58.com’s real‑estate price system, describes how average prices are computed from platform data, explains three anomaly‑detection methods, and details a CatBoost‑based machine‑learning model for automated house valuation, including feature engineering and evaluation metrics.

CatBoostReal Estate Dataanomaly detection

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Housing Price Estimation and Average Price Calculation Using 58.com Data and CatBoost

Python Crawling & Data Mining

Dec 31, 2020 · Backend Development

How to Scrape Thousands of New‑House Listings in Python: A Step‑by‑Step Guide

This article demonstrates how to use Python's requests, fake_useragent, and lxml libraries to batch‑scrape nearly a thousand new‑house listings from the 惠民之家 website, extracting 41 fields such as name, price, layout, opening date, plot ratio and green ratio, while handling pagination and anti‑scraping measures.

CSVPythonReal Estate Data

0 likes · 9 min read

How to Scrape Thousands of New‑House Listings in Python: A Step‑by‑Step Guide

58 Tech

Dec 23, 2019 · Operations

Intelligent Duty Robot for Real‑Estate Data Job Monitoring and Automation

The article describes an intelligent duty robot that uses a sense‑think‑act framework and job dependency graphs to automatically monitor, diagnose, and remediate data pipeline jobs in a real‑estate platform, reducing operational pressure and achieving over 98% notification accuracy.

Operational EfficiencyReal Estate Dataautomation

0 likes · 9 min read

Intelligent Duty Robot for Real‑Estate Data Job Monitoring and Automation