ABSTRACT
Web scraping is the automated process of gathering data from the internet. This data is stored in a database for further analyses. Scraped data is especially valuable for time dependant research questions, as no own measurement or monitoring devices are necessary to collect real time data. This paper aims at introducing a novel approach for generating large, high quality weather databases from freely available internet weather sources and applying them to near-real-time spatial landslide assessments. We present a first step by automating the procedure from gathering real-time weather data to geostatistical analyses for assessing the spatial pattern of rainfall. The output will be used for the immediate implementation in regional, physical-based landslide susceptibility models.
