The Challenges

  • Indepth insights into property values and trends from various websites
  • Insignificant analysis due scattered public data across multiple platform
  • Lack of structured relational database for long term forecasting
  • Complexity in manual data entry task for different data field like SKUs, description and pricing
  • Insignificant technical approach for navigating complex website structures.

The Solution

  • Robust web scraping process using Python, BeautifulSoup and Scrapy to automate extraction process
  • Ensured data precision and organizational structure to manage complex errors
  • Consistent up to date property task with scheduled scrapy
  • Efficient cleaning, processing and formatting to remove inconsistency and remove duplicate details.
  • Followed data protection regulation for effective data extraction process.

The Results

  • Operational efficiency by eliminating manual effort in data collection.
  • High quality data accuracy and efficiency
  • Real time property data ready for analysis and processing
  • Achieved competitive advantage by property analytics