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Social App Review Monitor

Pricing

$0.09 / 1,000 reviews

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Social App Review Monitor

Social App Review Monitor

Track recent Apple App Store reviews for Instagram, TikTok, YouTube, Facebook, Snapchat, and X. Built for social app monitoring, ASO research, release impact analysis, and competitor review dashboards.

Pricing

$0.09 / 1,000 reviews

Rating

0.0

(0)

Developer

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Maintained by Community

Actor stats

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Bookmarked

2

Total users

1

Monthly active users

a day ago

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Monitor recent Apple App Store reviews for major social apps without wiring up a custom scraper for every competitor. This Actor extracts structured review data for Instagram, TikTok, YouTube, Facebook, Snapchat, and X, then saves it as clean JSON/CSV-ready records for dashboards, ASO research, sentiment analysis, and release monitoring.

Use it when you need a fast, bounded review feed for social app intelligence, not a universal App Store crawler.

Proof artifact

Use the latest sample report when buyers ask what the Actor produces:

../../reports/social-app-review-monitor-proof-2026-06-17.md

The report uses targetId=all, countries=["us"], and maxItems=120 to show how a balanced social app review snapshot can become a weekly complaint and rating brief.

What you can do

  • Track fresh reviews for the largest social apps in the US App Store.
  • Compare complaints and praise across Instagram, TikTok, YouTube, Facebook, Snapchat, and X.
  • Watch review sentiment after product releases, policy changes, or outages.
  • Feed review titles, text, ratings, dates, versions, countries, and app IDs into BI dashboards, notebooks, or AI agents.
  • Schedule recurring runs and export results from Apify as JSON, CSV, Excel, or via API.

Best fit

  • Product teams watching competitor reviews.
  • ASO and growth teams mining review language for keywords and objections.
  • Agencies building weekly social app market reports.
  • Researchers and agent builders that need predictable public review data.
  • Developers who want a safe fixed-target input instead of arbitrary URL scraping.

Current target apps

The Actor supports a fixed allowlist:

  • Instagram
  • TikTok
  • YouTube
  • Facebook
  • Snapchat
  • X

Choose one target for a focused run, or choose all to collect a balanced competitor snapshot across every configured social app.

Quick start

  1. Click Try for free.
  2. Keep targetId set to all for a social app review snapshot, or select one app.
  3. Keep countries as ["us"], or add more App Store country codes.
  4. Set maxItems to the maximum number of review records you want.
  5. Start the run and export the dataset from Apify Storage.

Example input:

{
"targetId": "all",
"countries": ["us"],
"maxItems": 300
}

For scheduled monitoring, set until to the newest review date already stored in your own system so each run only returns newer reviews.

Pricing

This Actor charges only when a review record is successfully written to the default dataset.

  • Event name: review
  • Price: $0.00009 per review
  • Equivalent: $0.09 / 1,000 reviews

Example: collecting 300 reviews costs up to $0.027 before any platform usage costs. If fewer reviews are available, you pay only for the records written.

Output

Each dataset item uses a compact review schema compatible with common App Store review analysis workflows:

{
"parentId": "10954854441",
"id": "10954854441",
"date": "2024-02-18T19:48:09-07:00",
"userName": "reviewer",
"userUrl": "https://itunes.apple.com/us/reviews/id123",
"version": "1.0.0",
"score": 5,
"title": "Great app",
"text": "Useful and polished.",
"url": "https://itunes.apple.com/us/review?id=123456&type=Purple%20Software",
"country": "US",
"appId": "123456"
}

Useful fields by workflow:

WorkflowFields
ASO keyword researchtitle, text, score, country
Release impact monitoringversion, date, score, text
Competitor benchmarkingappId, score, title, text, country
Sentiment or NLP pipelinestitle, text, score, date
Review dashboardsdate, score, version, country, appId

How it is different

Broad App Store review scrapers accept arbitrary app IDs or URLs. This Actor is purposefully narrower: it focuses on major social apps and rejects arbitrary targets, URLs, cookies, authorization headers, proxy settings, and custom network code.

That narrower scope is useful when you want a repeatable social app monitoring job with predictable inputs, pricing, and output fields.

Limitations

  • This is not a universal App Store scraper.
  • Only configured target apps are supported.
  • Results depend on the public Apple App Store review RSS feeds available for each selected country.
  • Some countries or apps may return fewer reviews than requested.

Security

This Actor follows the shared workspace security policy in ../../SECURITY.md. Public input is limited to schema fields, runtime validation rejects unknown and dangerous JSON keys, and the review event is charged only after a review record is successfully written to the dataset.

Local commands

npm test
npm start

For local pay-per-event testing:

$ACTOR_TEST_PAY_PER_EVENT=true ACTOR_USE_CHARGING_LOG_DATASET=true npm start