TripAdvisor Data Scraper

It turns TripAdvisor pages into records — the properties in a place with their ratings and rank, and the reviews sitting under them — so you can sort and compare instead of clicking through. AllyHub takes the request in plain sentences, covers a competitive set or a whole category in one run, and keeps the category scores and trip dates a plain copy-out drops.

Yes. One property with the standard listing and review fields runs on the free plan. Larger jobs sit on the paid plans: a whole category or a competitive set, deeper review pulls, filtering at collection, scheduled quarterly re-runs, and the analysis pass over the same data.

Yes, and deciding before the run beats sorting afterwards. Narrow by star tier, by traveler type, by the months people visited, by language, or by a keyword, and only the matching reviews are collected. Reviewer display names come back as TripAdvisor publishes them, so treat the file as personal data and store only what the work actually requires.

Smaller restaurants and attractions publish less than a large hotel does: no category scores, few or no traveler-type splits, sometimes no price band. Those fields come back empty rather than guessed, so you can see where the data thins out instead of reading a gap as a zero.

It is a position in TripAdvisor’s popularity ranking for that city and category, not a verdict on quality. It reflects how good, how recent and how many the reviews are, and it moves when other properties gain reviews. Read beside the rating and the review count it makes sense; read on its own it is a headline.

Yes, and that is the usual job. Give it a category and a city, or name the properties you’re watching, and it runs them all in one pass with the property name on every row. Save the set and the filters as a Playbook and the quarterly benchmark re-runs itself.