Data Normalization Across Dublin Rental Portals: How to Make Listings Comparable
The article discusses the challenges of data normalization for rental listings in Dublin across various portals. It highlights the inconsistencies in how data such as prices, bedroom counts, and locations are presented. The author shares their approach to creating a standardized comparison layer for these listings.
- ▪Dublin rental listings are fragmented across different portals, making comparisons difficult.
- ▪Normalization involves standardizing fields like price, bedroom count, and geographic location.
- ▪The author developed custom extractors and a normalization pipeline to create canonical records from raw data.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3908117) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Caspar Bannink Posted on May 27 • Originally published at homescout.io Data Normalization Across Dublin Rental Portals: How to Make Listings Comparable #data #dataengineering #sideprojects #webscraping Data Normalization Across Dublin Rental Portals: How to Make Listings Comparable Dublin rental listings are fragmented even across the main portals.
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