Connect Tripadvisor Review to Power BI

Add the review source in Catchr using the listing ID after d in the Tripadvisor URL, not the location ID after g. Select the configured profile, app or property. Build a Power BI query with review titles and dates, preview the returned reviews and import the generated URL using Get data > Web in Power BI Desktop. Set review dates and rating types in Power Query, and retain the source identifier when combining several profiles.

Catchr exposes review title, text, rating, date, language, reviewer details, and the review URL when available. Its catalog also includes value, service, sleep quality, location, and cleanliness ratings. These category fields may be empty when they do not apply or were not returned. Use averages of valid ratings and show the response count for each category; do not convert a missing category rating into a zero.

The current connector does not expose a Popularity Ranking field. A review average is not a substitute: Tripadvisor's ranking considers review quality, recency, quantity, and consistency, and compares businesses with others around them. Use your dashboard to monitor feedback and rating trends, but read your ranking from Tripadvisor itself. Tripadvisor's ranking explanation describes why similar average ratings can lead to different positions.

Yes, where reply data is returned. Include Reply Text and Reply Date beside each review to identify responses and calculate elapsed time from the review date when both dates are populated. Filter reviews with an empty reply to build a follow-up list, then check the original review before taking action. The returned reply is a current view, not a complete response-edit history. Catchr reports the data; management responses are published through Tripadvisor.

Group individual reviews by Review Date and count distinct Review IDs. Average valid Rating values for a trend covering that same set of reviews. The separate Review Count and Average Rating summary fields describe the listing's current totals, rather than a monthly time series. Keep summaries in separate charts because Catchr cannot request listing-level totals together with individual review fields. Review dates also describe publication, not necessarily the date of the visit.

A single request is not an unlimited archive. Catchr stops paging when the available results or requested date boundary are reached, or after roughly 1,000 matching reviews have been collected. For heavily reviewed listings, use smaller date ranges and inspect the dates and count actually returned before interpreting a long-term trend. The current listing Review Count can exceed the individual reviews included in your dashboard, and missing older reviews should not be treated as months with no feedback.

Yes. Add separate Booking.com reviews and Airbnb reviews sources, then map each listing to the same property. Show the platform and rating scale: Booking.com uses a ten-point review scale, while Tripadvisor and Airbnb use five-point ratings. Compare review volume, recent feedback, and recurring service issues side by side. Rescaling a number alone does not make the platforms' scoring methods or reviewer populations equivalent.