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