Turn a news page without an RSS feed into usable, tagged content. Each week the system collects the newest posts, creates a short summary, extracts key technical terms, and saves everything in a structured database. Teams use it for content briefs, reports, and research with almost no manual work.
A weekly schedule loads the main news page, pulls all links and dates with CSS selectors, and splits the results into single items. Links and dates are matched by position, then a code step keeps only recent posts. For each new link, the page is fetched, the title and body are extracted, and OpenAI writes a short summary and three keywords. The final records are merged with the original date and link, then stored in NocoDB for easy filtering and sharing.
Setup needs working CSS selectors, an OpenAI API key, and a NocoDB API token. Expect big time savings on research and content prep, plus more consistent tagging. It suits marketing and comms teams that track industry updates, vendor news, or competitor activity on a weekly cycle.