App Store Reviews Scraper - Search by Keyword avatar

App Store Reviews Scraper - Search by Keyword

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Pay per usage

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App Store Reviews Scraper - Search by Keyword

App Store Reviews Scraper - Search by Keyword

Search the Apple App Store by keyword and export the reviews of matching apps: rating, title, body, author, app name and ID. Apple offers no public export and shows reviews a few at a time; this does the searching and paging for you.

Pricing

Pay per usage

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0.0

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Developer

the anh nguyen

the anh nguyen

Maintained by Community

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2

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1

Monthly active users

a month ago

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App Store Reviews Scraper

Search the Apple App Store by keyword and get the reviews of the matching apps as structured rows — rating, title, body, author and app identity.

Apple shows reviews a handful at a time behind a "more" control and offers no public export. This Actor does the searching and paging for you and hands back a table.

Input

FieldDefaultWhat it does
searchTermsa sample listKeywords to search the store with; each is searched separately
maxAppsPerTerm10How many matching apps to take per keyword
maxReviewsPerApp20How many reviews to pull from each app
{ "searchTerms": ["invoice app", "booking system"], "maxAppsPerTerm": 5, "maxReviewsPerApp": 20 }

Total rows are roughly terms × maxAppsPerTerm × maxReviewsPerApp, so raise the multipliers deliberately.

Output

One row per review:

FieldTypeExample
appIdinteger1240314505
appNamestringGroomit On-Demand Grooming
urlstringhttps://apps.apple.com/app/id1240314505
reviewIdinteger14370393171
reviewTitlestringOwner of Funny Farm Rescue
textstringthe review body
ratinginteger1–5
scoreintegersame as rating, kept for cross-source sorting
authorstringreviewer's public display name
titlestring[5★] Owner of Funny Farm Rescue — rating-prefixed for scanning
datestringISO 8601
extra_searchTermstringwhich keyword produced this row
scrapedAtstringISO 8601 timestamp of capture

What it is good for

  • Competitor research — the one- and two-star reviews of the apps in your category are a list of things people want and are not getting.
  • Feature demand — repeated wording across unrelated apps is a stronger signal than any single review.
  • Positioning — the words customers use for the problem are the words to use back at them.

Sort by rating ascending and read the bottom first; that is where the information is.

Notes and limits

  • Reviews come from Apple's public RSS feed per app, which returns recent reviews rather than the complete history. Treat a run as a current sample.
  • Coverage is the store Apple serves this client; results can differ by storefront and over time.
  • author is the reviewer's public display name, published by Apple alongside the review. No e-mail addresses, account identifiers or private profile data are collected. If you process these rows in the EU, remember a display name can still be personal data and treat the file accordingly.