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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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/caspar_bannink_3728f095d1/data-normalization-across-dublin-rental-portals-how-to-make-listings-comparable-6jm |
| Publication time | Wed, 27 May 2026 12:26:54 +0000 |
| Retrieval time | 2026-05-27T12:37:59.438Z |
| Last seen | 2026-05-27T12:37:59.438Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | J9Up3GrleE3e |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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