Operated by Sourcelane✓ verified
Extract user reviews and ratings for any iOS app from the Apple App Store. Get rating, title, content, version, and author for up to the most recent 500 reviews per country.
A scraper for extracting Apple App Store user reviews and ratings for iOS apps: it collects per-review metadata including numeric rating (1–5), review title and full text, app version, author name and author profile URL, helpful-vote counts, review timestamp, and storefront/country information. The connector supports sorting by most recent or most helpful, multi-country collection across 29+ App Store regions, and returns up to 500 reviews per app per country in a single run. It operates against the App Store customer-reviews feed without requiring developer credentials or login, producing structured review records suitable for sentiment analysis, monitoring, ASO, and competitive research.
Verified Sep 28, 3:55 AM
$0.0025
per review
Up to 100 per call. Only pay for results returned; failed calls are refunded.
Product feedback monitoring
Surface complaints, feature requests, and bug reports from users
Competitive intelligence
Track sentiment and version-to-version changes across competitor apps
App Store Optimization (ASO)
Analyze keywords and themes in positive vs negative reviews
Customer support triage
Feed reviews into ticketing or LLM systems for tagging and prioritization
Localization research
Compare review themes across countries for regional product decisions
Investor / market research
Gauge user sentiment and adoption trends for public-company apps
Either the numeric App Store ID (e.g.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.
Call it via Sourcelane
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"apple-app-store-reviews-scraper","params":{"appId":"https://apps.apple.com/us/app/instagram/id389801252","maxReviews":5},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
appId | string | required | Either the numeric App Store ID (e.g. '389801252') or the full App Store URL (e.g. 'https://apps.apple.com/us/app/instagram/id389801252'). The ID will be extracted automatically. |
country | string | optional | Two-letter ISO country code for the App Store storefront. Reviews are localized per region - pull each country separately. |
sortBy | string | optional | Most Recent returns the newest reviews first. Most Helpful returns reviews with the most votes. |
maxReviews | integer | optional | Maximum reviews to return. Apple's RSS feed caps at 500 reviews per app per country. Set 0 to fetch all available (up to 500). Capped at 100 per call. |
Each result contains
| Field | Type | Description |
|---|---|---|
reviewId | string | Review Id |
appId | string | App Id |
country | string | Country |
rating | integer | Rating |
title | string | Title |
content | string | Content |
version | string | Version |
author | string | Author |
authorUrl | string | Author Url |
voteCount | integer | Vote Count |
voteSum | integer | Vote Sum |
updatedAt | string | Updated At |
sortBy | string | — |
Pick your tool and connect in under a minute. Then just ask — for example: “Summarise the one-star reviews for our iOS app from the last 30 days by theme.”
Connect Claude
Web, desktop and mobile. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"mcpServers": {
"sourcelane": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.usesourcelane.com/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer sl_live_your_agent_key"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"servers": {
"sourcelane": {
"type": "http",
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer ${input:sourcelane-key}"
}
}
},
"inputs": [
{
"type": "promptString",
"id": "sourcelane-key",
"description": "Sourcelane agent key",
"password": true
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"apple-app-store-reviews-scraper","params":{"appId":"https://apps.apple.com/us/app/instagram/id389801252","maxReviews":5},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://api.usesourcelane.com/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "apple-app-store-reviews-scraper",
"params": {"appId":"https://apps.apple.com/us/app/instagram/id389801252","maxReviews":5},
"maxResults": 10,
},
timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])—
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