With Amazon’s product review section—part of the world’s leading e-commerce platform—booming, are you wasting countless hours manually collecting product review information such as review content, star ratings, review timestamps, user purchase verification status, review-attached images and videos, mentions of product pros and cons, and “helpful” vote counts? Faced with Amazon’s massive repository of review content, spanning hundreds to thousands of reviews per product, paginated results and multi-dimensional user feedback, efficiently acquiring structured review data to accurately analyze product user feedback, optimize competitive product strategies for e-commerce operators or enhance product improvement efficiency for product managers has become a common challenge for many e-commerce operators, product managers, market researchers, and competitive product analysts. Say goodbye to tedious manual copy-and-paste and page-by-page recording of review details or user opinions. BrowserAct will revolutionize the way you access Amazon’s product review data.

What is BrowserAct E-commerce Data Automation 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 product review data from Amazon’s massive repository of user feedback, including individual reviews, star ratings, user verification info and helpful vote counts. What can it do for you?

• Amazon Product Review Scraping: Our Amazon crawler can intelligently identify and extract core review data from the platform. This includes review content, star ratings, review timestamps, user purchase verification status, images and videos attached to reviews, mentions of product pros and cons, and “helpful” vote counts. It covers all critical information needed to analyze user opinions on Amazon products.
• AI-Powered Field Suggestions: Using AI to intelligently identify the structure of Amazon pages, such as product review lists and individual review detail pages, it quickly suggests and extracts key fields like "review content, star rating, review time, purchase verification status, helpful vote count". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
• Ideal Users: Suitable for e-commerce operators, product managers, market researchers and competitive product analysts. It helps you obtain structured Amazon product review data to drive decisions—like optimizing product iteration plans and adjusting competitive marketing strategies—or meet research needs, such as analyzing user pain points, evaluating product strengths and weaknesses and tracking changes in user feedback over time.

Features and Workflow Capabilities

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

How to Use BrowserAct as a CoinMarketCap Scraper

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:

Product_AllReviews_Link
Max_Page
Amazon_Link

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://www.amazon.com/product-reviews/B00JUM36R8/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=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:

Extract All data from reviews - summarize the review text into "Summary" - add rating to "Rating" - add Name to "Name"

• 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.