Appleapp Reviews Spider

The Appleapp Reviews Spider is a powerful Apify Actor designed to scrape and extract user reviews from the Apple App Store. It allows users to input specific app URLs and retrieve detailed review data, including ratings, titles, bodies, and metadata, in a structured JSON format. This tool is ideal for developers, marketers, and analysts seeking insights into app performance and user sentiment.

Features

• Comprehensive Review Extraction: Scrapes all available reviews from specified Apple App Store app pages, including ratings, titles, and full review text.
• Structured Data Output: Provides clean, JSON-formatted data with fields like product ID, review ID, sentiment, and timestamps for easy integration.
• High Reliability: Built on Python Scrapy for robust web scraping, handling dynamic content and potential anti-scraping measures.
• Batch Processing: Supports multiple URLs in a single run, enabling efficient data collection for multiple apps.
• Metadata Enrichment: Includes additional details such as country, date, brand, and translated content for deeper analysis.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, scheduling, and export options.
• Error Handling: Gracefully manages invalid URLs or temporary site issues, logging errors for troubleshooting.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	An array of Apple App Store URLs for the apps from which to scrape reviews. Each URL should point to an app's page.	["https://apps.apple.com/us/app/slack-for-desktop/id803453959"]

Example Usage

To run the Actor, provide the input parameters in JSON format:

{
  "Urls": [
    "https://apps.apple.com/us/app/slack-for-desktop/id803453959"
  ]
}

Example output (truncated for brevity):

[
  {
    "Product_Id": "803453959",
    "Review_Id": "13594823894",
    "Rating": 3,
    "Title": "Great Concept, Flawed in Design",
    "Body": "Very good for group organization in a professional manner. That being said, I have my grievances with its desktop version...",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Apple App Store",
    "Full_Review": "Great Concept, Flawed in Design: Very good for group organization in a professional manner...",
    "Review_Type": "App Review",
    "Title_Trans": "Great Concept, Flawed in Design",
    "Body_Trans": "Very good for group organization in a professional manner...",
    "Full_Review_Trans": "Great Concept, Flawed in Design: Very good for group organization in a professional manner...",
    "Product_Name_Trans": "Slack for Desktop",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2026-Q1",
    "Sub_Brand": "Slack",
    "Format": "Software",
    "Country": "US",
    "Date": "01-04-2026",
    "Product_Name": "Slack for Desktop",
    "Brand": "Slack",
    "URL": "https://apps.apple.com/us/app/slack-for-desktop/id803453959?mt=12&see-all=reviews&platform=undefined",
    "Crawled_Date": "01-21-2026"
  },
  {
    "Product_Id": "803453959",
    "Review_Id": "4197500805",
    "Rating": 4,
    "Title": "Good chat app, just a few annoying things",
    "Body": "Overall Slack is a good messaging/chat/sharing app...",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Apple App Store",
    "Full_Review": "Good chat app, just a few annoying things: Overall Slack is a good messaging/chat/sharing app...",
    "Review_Type": "App Review",
    "Title_Trans": "Good chat app, just a few annoying things",
    "Body_Trans": "Overall Slack is a good messaging/chat/sharing app...",
    "Full_Review_Trans": "Good chat app, just a few annoying things: Overall Slack is a good messaging/chat/sharing app...",
    "Product_Name_Trans": "Slack for Desktop",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2019-Q2",
    "Sub_Brand": "Slack",
    "Format": "Software",
    "Country": "US",
    "Date": "05-23-2019",
    "Product_Name": "Slack for Desktop",
    "Brand": "Slack",
    "URL": "https://apps.apple.com/us/app/slack-for-desktop/id803453959?mt=12&see-all=reviews&platform=undefined",
    "Crawled_Date": "01-21-2026"
  },
  {
    "Product_Id": "803453959",
    "Review_Id": "3372654007",
    "Rating": 5,
    "Title": "Priceless tool",
    "Body": "This is a game changer for my digital marketing agency...",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Apple App Store",
    "Full_Review": "Priceless tool: This is a game changer for my digital marketing agency...",
    "Review_Type": "App Review",
    "Title_Trans": "Priceless tool",
    "Body_Trans": "This is a game changer for my digital marketing agency...",
    "Full_Review_Trans": "Priceless tool: This is a game changer for my digital marketing agency...",
    "Product_Name_Trans": "Slack for Desktop",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2018-Q4",
    "Sub_Brand": "Slack",
    "Format": "Software",
    "Country": "US",
    "Date": "11-02-2018",
    "Product_Name": "Slack for Desktop",
    "Brand": "Slack",
    "URL": "https://apps.apple.com/us/app/slack-for-desktop/id803453959?mt=12&see-all=reviews&platform=undefined",
    "Crawled_Date": "01-21-2026"
  }
]

Use Cases

• Market Research: Analyze user feedback to identify trends in app satisfaction and feature requests.
• Competitive Intelligence: Compare reviews across similar apps to benchmark performance.
• Sentiment Analysis: Extract ratings and text for NLP processing to gauge overall user sentiment.
• Product Development: Gather insights from reviews to prioritize bug fixes and feature enhancements.
• Academic Research: Collect data for studies on mobile app ecosystems and user behavior.
• Business Automation: Automate review monitoring for continuous feedback loops in app management.

Installation and Usage

1. Search for "Appleapp Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs an array of JSON objects, each representing a single review. Key fields include:

• Product_Id: Unique identifier for the app.
• Review_Id: Unique identifier for the review.
• Rating: Numerical rating (1-5).
• Title and Body: Original review title and content.
• Sentiment, Higher_Topic, Granular_Topic: Analysis fields (often null if not processed).
• Source: Always "Apple App Store".
• Full_Review: Combined title and body.
• Title_Trans, Body_Trans, Full_Review_Trans: Translated versions.
• Product_Name, Brand, Country, Date: Metadata about the app and review.
• URL: Link to the review page.
• Crawled_Date: When the data was scraped.

Data is reliable and structured for direct use in databases or analysis tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

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