Open database of link metadata for large-scale analysis
I would like to share an open database focused on link-level metadata extraction and aggregation, which may be of interest to researchers. The project maintains a structured dataset of links enriched with metadata such as: - page title - description / summary - publication date (when available) - thumbnail / preview image - etc. The goal is to provide a reusable, inspectable set of link metadata that can be used for experiments in areas such as: - RSS and feed analysis - news analysis - link rot analysis? The database is publicly available here:…
Open database of link metadata for large-scale analysis launched on January 3, 2026 with 15 votes, #794 of 14,584 launches that month and more than 90% of that year's launches.
In plain words
This project provides a publicly accessible database of structured link metadata extracted from RSS feeds and web sources. It captures information such as page titles, descriptions, publication dates, and preview images for large-scale analysis. The database is designed for researchers studying RSS feeds, news aggregation, link preservation, and related topics. Multiple years of data are available, making it suitable for longitudinal studies and comparative analysis across different time periods.
written from the facts on this page · September 2026
From the sources
Contribute to rumca-js/RSS-Link-Database-2025 development by creating an account on GitHub.
This repository contains link metadata: title, description, publish date, etc. Q: Why are you using sources like daily mail? This does not make any sense! A: This project aims to capture time capsule of day, or year. In statistics sometimes it is too late to capture "new" data. For analysis only credible, and reliable sources could befrom github.com
In the maker’s words, at launch
I would like to share an open database focused on link-level metadata extraction and aggregation, which may be of interest to researchers. The project maintains a structured dataset of links enriched with metadata such as: - page title - description / summary - publication date (when available) - thumbnail…
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