Apple App Store Reviews Scraper

Name: Apple App Store Reviews Scraper
Price: 0.0025 USD

App Stores & Reviews

Operated by Sourcelane✓ verified

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.

What people use it for

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

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

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	—

Use Apple App Store Reviews Scraper from Claude, ChatGPT or Cursor

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. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "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"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "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
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

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}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

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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