With Apple App Store’s Wuthering Waves review section—part of the world’s leading app distribution and feedback platform—booming, are you wasting countless hours manually collecting review data such as user ratings, comment content, post timestamps, device models, recommendation status, and feedback themes? Faced with its massive repository of player reviews, spanning thousands of user opinions, paginated results and multi-dimensional game feedback, efficiently acquiring structured review data to optimize game updates for developers or track player sentiment for analysts has become a common challenge for game devs, operation teams, market researchers, and core players. Say goodbye to tedious manual copy-and-paste and page-by-page recording of feedback. BrowserAct will revolutionize the way you access Wuthering Waves’ App Store review data.

What is BrowserAct Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key user review data from Apple App Store’s Wuthering Waves review section, including user ratings, comment content, device info, and feedback themes. What can it do for you?

• Wuthering Waves App Store Review Scraping: Our App Store crawler can intelligently identify and extract core review data from the platform. This includes user ratings (e.g., 4 stars, 5 stars), comment content, post timestamps, device models (e.g., iPhone 15, iPad Pro), recommendation status, and feedback themes (e.g., gameplay experience, bug reports, character design). It covers all critical information needed to track player sentiment for Wuthering Waves.
• AI-Powered Field Suggestions: Using AI to intelligently identify the structure of App Store pages, such as review listing pages, single review detail pages, and user profile pages, it quickly suggests and extracts key fields like "user rating, comment content, post time, device model, feedback theme". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
• Ideal Users: Suitable for game developers, operation teams, market researchers, and core players. It helps you obtain structured Wuthering Waves review data to drive decisions—like optimizing game updates and refining user experience—or meet practical needs, such as tracking player feedback trends, identifying product pain points and measuring user satisfaction.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

URL

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://apps.apple.com/us/app/wuthering-waves/id6475033368?see-all=reviews. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

• • for each review extract Rating add to "Rate", Extract name add to "Name" - extract review add to "Review" - Extract Review Date add to "Date"

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.