ECOMMERCE DEVELOPER TOOLS API MCP READY

Apple App Store Reviews API

Apple App Store Reviews API. Fetch iOS and macOS app reviews on demand as structured JSON: ratings, titles, text, dates, versions, author, and helpfulness across 50+ country stores. Sort by most recent, most helpful, favorable, or critical. Built for ASO, sentiment, and AI agent workflows.

MEDIAN LAGon demand

PARAMETERS9

TOTAL USERS353

MONTHLY ACTIVE86

TOTAL RUNS3,230

SUCCESS (30D)99.2%

RATING5.0 (6)

LAST MODIFIED2026-09-03

PUBLISHED2026-05

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
product_ids	string[]	no	—	Numeric Apple App Store product IDs (e.g. ['534220544', '363590051']).
app_name	string	no	—	Free-form Apple app name to look up automatically (e.g. 'netflix', 'spotify', 'todoist').
country	enum	no	us	Two-letter Apple country store code (e.g. 'us', 'gb', 'jp').
sort	enum	no	mostrecent	Order reviews by recency, helpfulness votes, or rating polarity.
max_reviews	integer	no	100	Hard cap on reviews returned per product ID.
start_page	integer	no	1	Page number to start paginating from (1-based).
include_macos	boolean	no	True	Set false to skip macOS apps entirely (no reviews pushed, no charges incurred for any macOS product_id).
normalize_dates	boolean	no	True	Emit a review_date_iso field alongside the locale-formatted review_date (e.g. '2021-06-02' alongside 'Jun 02, 2021').
parse_helpfulness	boolean	no	True	Extract integer helpful_count and total_helpful_count fields from the prose 'X out of Y customers found this review helpful' string.

Worked examples

Basic — the required input, with the schema's own example values

{
  "product_ids": [
    "534220544"
  ],
  "app_name": "example"
}

Coverage

country store — us gb ca au nz +47

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~apple-app-store-reviews-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"product_ids": ["534220544"], "app_name": "example"}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/apple-app-store-reviews-api").call(
    run_input={'product_ids': ['534220544'], 'app_name': 'example'}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)