The Scenario
It's the end of Q1 and your product team runs a quarterly benchmark report on competitor apps. You have 30 App Store IDs in column A of a Google Sheet, each tied to a competitor app your team tracks. The benchmark sheet is supposed to include average rating, review count, current price, and version for each app. This is the third quarter you've run this report. The last two times, someone on the team spent a morning manually looking up each app on the App Store and copying values into the sheet.
That person is now a PM lead with four launches to manage. The manual lookup is not going to happen this quarter unless someone else volunteers, and nobody has.
The bad version:
- Find the APIVerve App Store endpoint, authenticate, and figure out which query parameter accepts the App Store numeric ID versus the bundle ID.
- Loop over 30 IDs, parse the response to extract averageUserRating, userRatingCount, price, and version, and handle the three apps that returned a different response structure because they're regional variants.
- Paste 30 rows of data into four columns in the correct order.
A quarterly report should not require a script to be written or debugged every quarter. That is not a sustainable benchmark process.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your App Store ID column and, through its built-in APIVerve integration, it can fetch the app metadata for every ID and write the rating, review count, price, and version into the columns you specify.
For each App Store app ID in column A, fetch the app name, average rating, number of ratings, price, and current version using APIVerve and write them into columns B–F
What You Get
- Column B filled with the resolved app name for each ID.
- Column C filled with the average user rating (e.g., 4.6).
- Column D filled with the number of user ratings.
- Column E filled with the current app price (free or numeric value).
- Column F filled with the current app version string.
- IDs that return no result noted in the relevant columns so you know which competitors may have changed their App Store presence.
What If the Data Is Not Quite Ready
You also need the seller name and app description
Scrape App Store metadata for every app ID in column A and add the seller name, app description, and release date to columns C, D, and E — keep average rating in column B
Some IDs in column A are outdated or have been delisted
For each app ID in column A, attempt to fetch metadata from APIVerve; for IDs that return no result, write "App not found — verify ID" in column B and leave the other columns blank
You want to compare this quarter's rating to last quarter's, stored in column G
Fetch the current average rating from APIVerve for each app ID in column A, write it to column C, then calculate the change from last quarter's rating in column G and write the delta to column H as a signed number
Full benchmark refresh in one shot
Fetch app name, average rating, review count, price, and current version from APIVerve for every ID in column A and write to columns B–F; for any app where the rating dropped more than 0.3 points compared to the previous value in column G, flag it in column I as "Rating Drop — Review"; note any IDs that returned no data in column J
One prompt covers the fetch, the comparison, and the flagging — no need to break it into separate steps.
Try It
Get the 7-day free trial of SheetXAI and open your competitive benchmark sheet with App Store IDs in column A, then ask SheetXAI to pull the current metadata for every app. You can also build a glossary with definitions from APIVerve or explore the full APIVerve integration overview.