Pricing

from $0.84 / 1,000 item scrapeds

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Apple App Store Reviews & Rating Extractor

Name: Apple App Store Reviews & Rating Extractor
Price: 0.84 USD

Try for free

Extract authentic customer reviews, star ratings, review titles, user feedback, app versions, and developer response sentiment from any iOS App Store worldwide.

Pricing

from $0.84 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

🚀 Overview & Value Proposition

Extract authentic customer reviews, star ratings, review titles, user feedback, app versions, and developer response sentiment from any iOS App Store worldwide.

Engineered for professional developers, algorithmic trading firms, Web3 researchers, growth marketers, and data engineers. This Actor extracts structured data directly from official API gateways and high-speed endpoints with zero browser overhead, zero captchas, and ultra-low compute latency.

🥊 Why This Actor Beats the Competition

Feature	This Apify Actor	Traditional Browser / Puppeteer Scrapers
Speed	⚡ 100–500 items / sec (Direct HTTP & Clean JSON)	🐌 3–8 seconds per page load
Pricing	💰 Pay-Per-Result (PPR) — only pay for extracted records	💸 Billed for expensive browser CPU/RAM hours
Reliability	🛡️ Zero Cloudflare or Captcha failures	🛑 Frequent IP bans, block pages, and captcha blocks
Data Quality	🎯 Clean, typed, schema-validated JSON	⚠️ Fragile CSS selectors breaking every release

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

Open the Actor on Apify Console.
Fill in the input fields according to your research needs.
Click Start and download your results in JSON, CSV, or Excel format.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = appIds: ...

run = client.actor("litezero/apple-app-store-reviews-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Method 3: Node.js / JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/apple-app-store-reviews-scraper').call({
    appIds: ...
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

📥 Input Parameters

All parameters are optional or have production-ready defaults:

Parameter	Type	Default	Description
`appIds`	`array`	`['389801252']`	Numeric Apple App IDs (e.g. '389801252') or App Store URLs (e.g. 'https://apps.apple.com/us/app/instagram/id389801252').
`country`	`string`	`us`	Two-letter country code (e.g. 'us', 'gb', 'de', 'jp').
`sortBy`	`string`	`mostRecent`	Ordering of customer reviews.
`maxReviewsPerApp`	`integer`	`50`	Maximum number of customer reviews to extract per application.

📤 Output Data Dictionary

Every extracted item adheres strictly to the .actor/output_schema.json specification:

{
  "scrapedAt": "2026-10-03T18:30:00.000Z",
  "sample": "Refer to output schema specification"
}

💡 Top Commercial Use Cases

Automated Data Pipelines: Schedule recurring runs via Apify Cron to feed internal databases and dashboards.
AI & LLM Enrichment: Feed clean, real-time structured data into RAG pipelines, LangChain agents, or fine-tuning datasets.
Market & Competitor Intelligence: Monitor industry trends, customer sentiment, and shifts in real-time.

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