The Scenario
You own a restaurant and you have been meaning to do this for months: pull the most recent Tripadvisor reviews for the eight competitors you track most closely, put them in a sheet, and actually read what customers are saying about them. Not just the star average — the actual language people use when they complain or rave.
Your operations manager forwarded you a Tripadvisor location ID list three weeks ago. It is still sitting in your inbox.
The bad version:
- Open each competitor's Tripadvisor page one by one, read through recent reviews in the browser, and copy the text, rating, and date by hand into the sheet
- Realize partway through that you cannot easily get reviewer usernames from the public page without clicking into each individual review
- Hit review number four on restaurant six and lose track of which row in the sheet you were filling in, requiring a full recount of what you have so far
You pulled together this competitor list because you wanted to understand what is working for them. The insight is in the reviews. It is not in the process of copying the reviews.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your sheet and, through the Tripadvisor integration, can fetch the latest reviews for a set of location IDs, parse each review's rating, title, text, and metadata, and write them into columns — all in one pass.
Here is the prompt for this task:
For each TripAdvisor location ID in column A, fetch the latest 5 reviews and write each review's rating, title, and text into columns B through F, then calculate the average rating per restaurant in column G
What You Get
- Columns B through F: Five rows of review data per location — rating (1–5), review title, and review text for each
- Column G: Average rating across the five most recent reviews, calculated per restaurant
- Each location ID in column A anchors one row of aggregated output — the five reviews fan out horizontally
- If a location has fewer than five recent reviews, columns are filled as far as data exists and the rest are left blank
What If the Data Is Not Quite Ready
You want the reviews written vertically — one row per review rather than one row per restaurant
For each location ID in column A, fetch the latest 5 TripAdvisor reviews and write each as its own row in the Reviews tab with columns for location ID, restaurant name, reviewer username, rating, review date, and the first 200 characters of the review text
The location IDs in column A include a mix of restaurants and hotels and you only want restaurants
For each location ID in column A, fetch location details and skip any that are not in the restaurant category, then for the remaining ones fetch the latest 5 reviews and write reviewer username, rating, date, and review text into the Results tab
You want to flag reviews that mention a specific service failure
For each location ID in column A, fetch the latest 5 TripAdvisor reviews, write them into the Reviews tab, and in an additional column mark any review that contains the word "wait" or "slow" with the text "flag"
You want the full review pull plus sentiment scoring and a summary
For each location ID in column A, get the 5 most recent TripAdvisor reviews, write reviewer username, rating, date, and review text into the Reviews tab, score each review as positive or negative based on the text, and write a one-sentence summary of the overall sentiment for each restaurant into the Summary tab
When you combine the data retrieval with the analysis step in one prompt, you get the insight directly — not just the raw material to produce it later.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you track your competitor location IDs, then ask it to pull the latest reviews and calculate the average rating per location. You can also use the same approach to pull award history for these properties or to build a full competitor analysis sheet from scratch.