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Platforms3
Accounts10
Used by the world's leading companies
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What our customers say about us.
After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.
With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Add the Airbnb Review source in Catchr and enter the listing identifier from its Airbnb URL. For a URL ending in /rooms/30748041, the identifier is 30748041. You can enter several identifiers separated by commas, then select the listing to report on in your Catchr data source. In Looker Studio, start with a table of Review Date, Rating, and Review Text so you can check that the correct property's reviews are returned.
No. This source is for reviews associated with the selected Airbnb listings. Its fields include review text, date, rating, language, reviewer name, and a link to the review when available. It does not provide reservation revenue, occupancy, booking calendars, private guest feedback, or a guest's complete review history across Airbnb. Use booking or property-management data separately for financial and occupancy reporting.
The current Catchr catalog exposes a review Rating field, but no separate cleanliness, check-in, communication, location, accuracy, or value scores. Airbnb treats the overall rating as a separate guest assessment, not an average of those category scores. You can read Review Text to investigate recurring comments about cleaning or arrival, but a text-based category you create is not an official Airbnb subcategory rating. See Airbnb's rating definitions.
Use the average of valid Rating values for the reviews in your selected period, rather than summing ratings. Count distinct Review IDs to measure review volume and group by Review Date for a monthly trend. Catchr also exposes a listing-level Review Count, which is a current total rather than the number posted in the selected month. Keep that total in a separate chart: listing totals cannot be requested together with individual review fields.
A review cannot appear before Airbnb publishes it. For home stays, Airbnb publishes the reviews when both parties have submitted them or when the 14-day review window ends, whichever happens first. After publication, check the listing identifier, your dashboard's review-date range, and data freshness. The review date is not the checkout date, so a stay ending in one month can produce a review in the next. Catchr does not expose unpublished reviews.
Do not assume that one request is a complete archive. Catchr retrieves review pages and stops paging once roughly 1,000 matching reviews have been collected, or when the available results or requested dates end. A large listing can therefore return fewer individual reviews than its listing-level Review Count. Use narrower review-date periods and check the returned coverage before calculating long-term trends. Selecting older dates does not guarantee that all older reviews remain available.
Yes. Configure the listing identifiers you want to monitor and keep Account ID in the comparison so reviews stay attached to the right property. Compare average rating alongside the number of retrieved reviews and the same review-date period; a five-star average based on two reviews is different evidence from one based on hundreds. For a wider hospitality dashboard, add a separate Booking.com reviews data source and keep each platform's rating scale visible.
Our team is always here to answer any questions you may have about our data connector.
