Reviews appear everywhere
Customers leave feedback across marketplace listings, product pages, location pages, app stores, and third-party review sites.
// REVIEW INTELLIGENCE
Review
Review
Monitoring
Managed review scraping services for product reviews, marketplace ratings, brand reputation, and customer feedback analysis.
Scrapezilla turns public review pages into clean, structured data feeds so your team can track customer sentiment, product issues, ratings, and competitor feedback at scale.
Review extraction
Rating monitoring
Sentiment signals
Product feedback data
// THE PROBLEM
Customer feedback is spread across too many websites
Reviews and ratings influence buying decisions, product development, support priorities, and brand reputation. The challenge is that useful feedback is scattered across marketplaces, retailer sites, app stores, directories, and review platforms.
Scrapezilla keeps review data usable
We build and maintain review extraction workflows so your team receives clean, recurring customer feedback data without managing scraping infrastructure.
Ratings move over time
Review counts, star ratings, and complaint patterns change constantly and are easy to miss with manual checks.
Feedback needs structure
Review text is messy. Teams need clean fields for rating, date, source, product, location, variant, and review content.
Manual monitoring does not scale
Research teams, agencies, and brand teams cannot reliably review thousands of pages by hand every week.
// USE CASES
What Scrapezilla can collect for review monitoring teams
Collect public review data from product pages, marketplaces, retailer sites, location pages, app stores, and review platforms.
Product review extraction
Collect review text, ratings, dates, variant details, helpful counts, and product identifiers from public product review pages.
Data fields
Rating
Review text
Date
Variant
Helpful count
Marketplace rating monitoring
Track star ratings, review volume, seller feedback, and product reputation across marketplace listings.
Data fields
Average rating
Review count
Seller
Listing
Timestamp
Competitor review analysis
Monitor competitor reviews to identify recurring complaints, praised features, product gaps, and customer language.
Data fields
Brand
Product
Rating
Theme
Source
Location review monitoring
Collect public reviews and ratings for stores, offices, restaurants, branches, service areas, or local business profiles.
Data fields
Location
Rating
Review
Date
Source
App and software review scraping
Extract public app reviews, ratings, version references, dates, and product feedback from software review sources.
Data fields
App
Version
Rating
Review
Date
Review trend feeds
Deliver recurring review data into dashboards, sentiment models, support workflows, or market research databases.
Data fields
Frequency
Source
Product
Fields
Destination
// BUSINESS OUTCOMES
Turn public reviews into business signals
Scrapezilla helps teams move beyond scattered review pages and into structured feedback data that can support product, support, marketing, and reputation workflows.
Spot issues faster
Identify recurring complaints, defect signals, shipping issues, and service problems before they become larger trends.
Track reputation
Monitor ratings, review volume, and public feedback across products, locations, competitors, and marketplaces.
Improve product decisions
Use customer language and feature feedback to inform product changes, positioning, merchandising, and support priorities.
Feed analysis workflows
Deliver structured review data into dashboards, sentiment tools, research workflows, or internal databases.
// HOW IT WORKS
A managed workflow for recurring review data
Scrapezilla handles the extraction, parsing, monitoring, and delivery work so your team can focus on insights instead of data collection.
01 / SCOPE
Define the sources and fields
Share the websites, products, locations, competitors, review fields, refresh schedule, and delivery format your team needs.
02 / BUILD
We build the review extraction workflow
Scrapezilla handles parsing, scheduling, normalization, retries, monitoring, and source-change maintenance.
03 / DELIVER
You receive structured review data
Get clean review records delivered to spreadsheets, cloud storage, APIs, databases, dashboards, or internal tools.
// DATA DELIVERY
Review data delivered where your team uses it
Use Scrapezilla for one-time review datasets, scheduled recurring feeds, or ongoing review monitoring workflows.
CSV or Excel
Simple exports for review audits, product research, competitor analysis, and spreadsheet workflows.
JSON or API
Structured delivery for sentiment tools, dashboards, product systems, and internal applications.
Cloud storage
Scheduled drops to S3 or another shared destination for downstream processing.
Database delivery
Normalized review records delivered into the database or warehouse your team already uses.
Google Sheets
Lightweight reporting for teams that want fresh review data without a custom dashboard.
Custom workflows
Delivery shaped around your research process, reporting cadence, QA rules, and internal tools.
// WHY SCRAPEZILLA
Built for review data operations
Review monitoring works best when feedback is collected consistently, structured cleanly, and delivered where teams can analyze it.
Managed scraping infrastructure
Scrapezilla handles extraction mechanics so your team does not need to maintain fragile review scrapers.
Structured review records
Messy review pages are transformed into consistent fields that are easier to compare, filter, and analyze.
Monitoring and maintenance
When review page layouts change, Scrapezilla can update the workflow and keep the data feed moving.
Flexible project scope
Start with one brand, product set, competitor group, or review source, then expand as the use case proves value.
Business-friendly delivery
Data can be delivered in formats that product teams, agencies, analysts, engineers, and executives can all use.
Support for complex pages
Scrapezilla can scope pagination, dynamic content, filters, variants, location pages, and changing review layouts.
// RESPONSIBLE DATA COLLECTION
Designed for public review data workflows
Scrapezilla focuses on responsible collection of publicly available web data and can work with your legal, privacy, and compliance requirements before a project begins.
Publicly available source review
Project scoping before extraction
Data minimization where appropriate
Custom compliance requirements
// EXAMPLE PROJECTS
Common review monitoring requests
A few ways Scrapezilla helps teams turn public customer feedback into repeatable reporting.
Product review feed
A brand monitors public product reviews across retailer and marketplace pages and receives a recurring file with rating, review text, date, product, and source fields.
Faster visibility into customer feedback
Competitor complaint tracking
A product team collects competitor reviews to identify recurring complaints, praised features, and product gaps.
Clearer insight into market expectations
Location reputation report
A multi-location business tracks public ratings, review counts, and review text across store or branch profiles.
Better visibility across locations
// FAQ
Review monitoring questions
Use these questions to capture long-tail organic searches and address common buyer concerns.
What review data can Scrapezilla collect?
Scrapezilla can scope public review pages, product reviews, ratings, review counts, seller feedback, location reviews, app reviews, and other public feedback sources relevant to your project.
Can Scrapezilla monitor reviews on a schedule?
Yes. Projects can be configured as one-time datasets or recurring feeds, such as daily, weekly, or custom refresh schedules.
Can review data be cleaned and normalized?
Yes. Scrapezilla can normalize fields such as source, product, rating, review text, review date, variant, location, and timestamp.
Can Scrapezilla support sentiment analysis workflows?
Scrapezilla can provide structured review data that your team can send into sentiment tools, dashboards, models, or internal analysis workflows.
// GET STARTED
Need Reliable
Need Reliable
Review Data?
Tell us the review sources, products, locations, fields, refresh schedule, and delivery format you need. Scrapezilla will help scope the project and deliver structured review data your team can use.