App Store Reviews Scraper API

🚀 What is App Store Reviews Scraper API?

App Store Reviews Scraper API is an Apify Actor that collects public customer reviews for any iPhone application in the countries you choose. Every review comes back as one row with its star rating, title, text, author, date, version, helpful votes and developer reply, so you can study user feedback without an Apple account or API key.

• 🌍 Many countries in one run: list storefront codes such as us and gb, or choose all.
• 🔎 Filters that save time: keep chosen star ratings with ratings, a start date with dateFrom, and pick the order with sort.
• 💬 Developer replies in their own table: reviews that received a reply are copied to a separate Developer replies table.
• 📊 App summaries: one row per application and country with the average rating and the 1 to 5 star counts.
• 📤 Easy export: download the dataset as JSON, CSV or Excel.

This App Store review scraper reads public reviews only. Click Try for free, paste an application link and press Start.

📊 What data can you extract from App Store reviews?

The Apple App Store reviews scraper saves each review as one row. You can download the rows as JSON, CSV or Excel, which also makes it a simple App Store reviews downloader. Field names below match the dataset schema.

Field	Description	Example
id	Unique review identifier	14689718900
appId	Numeric App Store ID of the application	389801252
country	Storefront country code of the review	us
date	Review date (ISO 8601)	2026-10-20T15:16:23Z
score	Star rating, 1 to 5	5
title	Review headline	Great app
text	Review text	Works well.
userName	Reviewer display name	Jane
userId	Reviewer profile ID	1980501315
userUrl	Link to the reviewer profile	https://itunes.apple.com/us/reviews?userProfileId=1980501315
version	Version of the application the reviewer used	452.0.0
isEdited	Whether the review was edited	false
voteCount	Number of people who rated the review	3
voteSum	Number of people who found the review helpful	2
developerResponse	Reply written by the developer	Thanks for the feedback!
developerResponseDate	Date of the developer reply	2026-10-21T08:00:00Z
appName	Name of the application	Instagram
appDeveloper	Developer of the application	Instagram, Inc.
appBundleId	Bundle identifier	com.burbn.instagram
appCurrentVersion	Latest version in the store	452.0.0
appGenre	Primary genre	Photo & Video
appPrice	Formatted price	Free
appUrl	App Store link	https://apps.apple.com/us/app/instagram/id389801252
appRatingAverage	Average star rating in this country	4.5
appRatingCount	Number of ratings in this country	35454674
appReviewCount	Approximate number of written reviews in this country	1853756
appRatingHistogram	Ratings per star, keys 1 to 5	{"1": 1, "2": 2, "3": 3, "4": 4, "5": 5}
error	Why an application, storefront or input could not be scraped (error rows only)	see Limitations

The App summaries table adds stars1 to stars5, the number of ratings per star for each application and country. It works like an App Store ratings scraper for rating counts.

💡 Use cases for App Store reviews

• App Store review analysis: sort by sort and read score, title and text side by side with version to see what changed after a release.
• Sentiment work: feed title, text and score into an App Store review sentiment analysis model or spreadsheet.
• Competitor research: run competitor analysis from App Store reviews by adding rival links to urls and comparing appRatingAverage and complaints.
• Recurring checks: monitor App Store reviews every week by scheduling a run with dateFrom set to 7d.
• Regional comparison: compare App Store ratings by country with the App summaries table (stars1 to stars5 per country).
• Support triage: collect negative App Store reviews with ratings set to 1 and 2 stars and hand them to support.
• Customer insight: build a voice of customer from App Store reviews by grouping text by country and version.
• Planning: use App Store reviews for market research before entering a new storefront.
• Quality work: find bugs from App Store reviews by filtering low stars and checking which version they mention.
• Developer relations: track developer replies to App Store reviews with developerResponse and developerResponseDate.
• Roadmaps: gather App Store reviews for product feedback and rank requests by voteSum.
• Data projects: build an App Store reviews dataset for BI tools or models, with App Store reviews analytics on top.

🛠️ How to scrape App Store reviews

1. Create a free Apify account and open App Store Reviews Scraper API.
2. Paste one or more application links into urls, and add numeric IDs to appIds if you have them.
3. Choose countries, set maxItems, and pick sort.
4. Optionally keep only some ratings, or set dateFrom (for example 2026-01-01 or 30d).
5. Click Start and watch reviews appear in the Output tab.
6. Download the dataset as JSON, CSV or Excel.

How to download App Store reviews

Run the steps above and open the Output tab. The default table lists every review, and the other tables hold developer replies, App summaries and errors.

How to export App Store reviews to CSV

Open the finished run, choose the CSV format in the export options and download the file. You can also do an App Store reviews export to Excel or JSON the same way, which covers the common wish to get App Store reviews to Excel.

How to scrape App Store reviews for all countries

Select All storefronts in countries. Every storefront is collected separately and labelled in the country column.

App Store reviews by country

Leave countries empty to use the country in each link (United States when a link has none), or pick several codes to compare storefronts.

💰 How much does it cost to scrape App Store reviews?

App Store Reviews Scraper API uses pay per event. You pay for each saved review (the main_result event), and the price per 1,000 results depends on your Apify pricing tier.

Pricing tier	Price per 1,000 results
Free	$1.5
Bronze	$1.35
Silver	$1.2
Gold / Platinum / Diamond	$1

A small Actor Start event of $0.00005 is charged once per run start. Error rows, developer reply copies and App summaries are not charged. See the Pricing tab for current rates.

⬇️ Input

Only urls is required, which makes it an iPhone App Store reviews scraper that starts from application links. It accepts one or many App Store application links, and the storefront in a link is used when you select no countries. See the Input tab for every option.

Example input:

{
  "urls": ["https://apps.apple.com/us/app/instagram/id389801252"],
  "countries": ["us"],
  "maxItems": 10,
  "sort": "recent"
}

• 💡 maxItems applies to each application in each country, not to the whole run. Two applications in three countries with maxItems set to 100 can return up to 600 reviews, and 0 collects everything the App Store serves.
• 💡 dateFrom accepts YYYY-MM-DD or a window such as 30d, 2w, 6m or 1y.
• 💡 includeVersions adds the application version for the reviews that carry one.

⬆️ Output

The scraped results are shown as a dataset in the Storage tab. The table view is for convenience and doesn't show all the fields.

Export formats: JSON, CSV, Excel, XML and HTML. Below is an example output item built from the example values in the dataset schema, not a captured run.

{
  "id": "14689718900",
  "appId": "389801252",
  "country": "us",
  "date": "2026-10-20T15:16:23Z",
  "score": 5,
  "title": "Great app",
  "text": "Works well.",
  "userName": "Jane",
  "userId": "1980501315",
  "userUrl": "https://itunes.apple.com/us/reviews?userProfileId=1980501315",
  "version": "452.0.0",
  "isEdited": false,
  "voteCount": 3,
  "voteSum": 2,
  "developerResponse": "Thanks for the feedback!",
  "developerResponseDate": "2026-10-21T08:00:00Z",
  "appName": "Instagram",
  "appDeveloper": "Instagram, Inc.",
  "appBundleId": "com.burbn.instagram",
  "appCurrentVersion": "452.0.0",
  "appGenre": "Photo & Video",
  "appPrice": "Free",
  "appUrl": "https://apps.apple.com/us/app/instagram/id389801252",
  "appRatingAverage": 4.5,
  "appRatingCount": 35454674,
  "appReviewCount": 1853756,
  "appRatingHistogram": { "1": 1, "2": 2, "3": 3, "4": 4, "5": 5 }
}

Tables in the Output tab:

Table	Content
All reviews	Every review (default dataset)
Reviews with App details	Reviews next to rating totals and store details
Developer replies	Only reviews that received a developer reply
App summaries	One row per application and country with rating totals and 1 to 5 star counts
Errors	Applications, countries or inputs that could not be scraped

A short Run summary with the counts for the run is also saved.

⚠️ Limitations and error handling

• This is not an App Store reviews crawler that roams the whole store; it reads only the applications you list.
• Only public App Store customer reviews are collected. Private data is not available to this App Store reviews extractor.
• Treat the output of this App Store review extractor as a snapshot of what Apple returns on the day of the run.
• The version field is filled only for a limited set of reviews (the newest and most helpful 500 per application and country). Older reviews have it empty.
• Reviews follow the App Store country, not the language of the review.
• The appReviewCount field is approximate, so the number of reviews you collect can differ from it. Run a small test to see how many you get for an application.
• This Actor has no only-new-reviews mode. For recurring runs, set dateFrom to a recent window.

An application, storefront or input that cannot be scraped becomes an error row with id set to null:

{
  "id": null,
  "appId": "1",
  "country": "us",
  "error": "app 1 was not found in the US App Store."
}

Error message	What to do
not an App Store id or URL	Check the link or ID and try again.
app ... was not found in the ... App Store	The application is not sold in that country. Pick another storefront.
... is not a valid App Store country	Use a 2-letter storefront code such as us, or all.
the app page could not be read	Try again later.
app page request failed	Try again later.

🔌 Integrating App Store Reviews Scraper API with other apps

You can run App Store Reviews Scraper API on a schedule, call it through the Apify API, and send finished runs to other tools with webhooks. See the API tab for ready-made JavaScript, Python and CLI snippets, which makes this an App Store reviews API for your own pipelines. It can also stand in as an Apple App Store reviews API for dashboards.

• Schedules: run it daily or weekly from the Schedules page for App Store review data extraction over time, for example with dateFrom set to 7d.
• Webhooks: trigger your own endpoint when a run finishes.
• Integrations: connect the dataset to tools such as Make, Zapier and Google Sheets.
• AI agents: call the Actor through the Apify MCP server.

🔗 More Apify Actors by crawl_craft

Actor	What it extracts	When to use it
Apple App Store Review Scraper	App Store reviews	Pick it when you need keyword filters, a name search for applications or an only-new-reviews mode, which this Actor does not have. This Actor instead lets you keep any mix of star ratings, while that one filters by a lowest and highest rating.
Etsy Scraper	Etsy listings, shops and reviews	Use it for marketplace reviews instead of application reviews.
Facebook Posts Search Scraper	Public Facebook posts by keyword or hashtag	Use it to follow brand mentions on social media next to your store feedback.

⚖️ Is it legal to scrape App Store reviews?

App Store Reviews Scraper API only collects reviews that are publicly visible on the App Store and does not extract private data. Reviews can still contain personal data such as reviewer names, so collect it only with a legitimate reason and consider GDPR and Apple's terms. Consult a lawyer if unsure. Read Apify's posts on the legality of web scraping and ethical web scraping.

❓ FAQ

How much does it cost?

You pay per saved review, from $1.5 down to $1 per 1,000 results depending on your pricing tier, plus a tiny Actor Start event. See the Pricing tab.

Can I get App Store reviews without an API key?

Yes. The input asks only for application links or IDs, so you can get App Store reviews without an API key, an Apple account or cookies.

How many reviews can I collect?

Set maxItems per application and country, or 0 for everything the App Store returns. The appReviewCount field is approximate, so test first.

Why is version empty for some reviews?

Only a limited set of reviews carries a version: the newest and most helpful 500 per application and country. Older reviews have null.

Can I use it as an App Store review API?

Yes. Start runs and read the dataset through the Apify API, so it works as an App Store review API for scripts and tools.

Do I need proxies?

No. The proxyConfiguration input is optional and its default setting works for most runs.

Is this an iOS App Store reviews scraper?

Yes. It works as an iOS App Store reviews scraper for iPhone applications, using a link or a numeric ID.

What kind of tool is it?

It is an App Store reviews tool for bulk input of links and IDs. Use it as an App Store review downloader when you need files. It reads only the applications you list.

Can I filter by stars or date?

Yes. Use ratings for chosen star counts and dateFrom for a start date or a window such as 30d.

Why is the developer replies table empty?

That table fills only when a review in the results includes a developer reply. Many applications have none in the collected reviews.

💬 Your feedback

Found a bug or need a field added? Open an issue from the Issues tab of this Actor. For a custom solution, email hello.crawlcraft@gmail.com.