Can Tho Rental Listings Scraper

Web Scraping & Data Collection

Data EngineerPython Developer
Can Tho Rental Scraper Results
FPT University logoFPT University
Timeline

2024

Duration

1 month

Role
Data EngineerPython Developer
Technologies
PythonBeautifulSoupRequests+7

Project Overview

Extracted rental listings from a website about Can Tho motel, collecting key details such as title, price, area, phone number, and detail page link. This project demonstrates efficient web scraping techniques and data extraction methods for real estate information. The scraper automatically processes multiple listings and organizes the data in a structured format for analysis.

Technologies & Tools

Python
BeautifulSoup
Requests
Pandas
CSV
JSON
Web Scraping
Data Processing
Regular Expressions
Data Cleaning

Backend & AI

Python

Tools & Libraries

Web Scraping

Challenges

Handling dynamic content and JavaScript-rendered elements

Managing rate limiting and anti-scraping measures

Extracting structured data from unstructured HTML

Ensuring data quality and consistency across listings

Key Learnings

Mastered web scraping techniques and best practices

Gained experience in data extraction and processing

Learned efficient data cleaning and validation methods

Developed skills in handling large datasets

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