Use Cases › Review Monitoring
Your brand reputation lives across dozens of platforms — but you can't monitor them all manually. OneScraper automates review collection from Trustpilot, Google, Glassdoor, Yelp, TripAdvisor, and more, so you always know what customers are saying and how your reputation compares to competitors.
Review monitoring is the systematic tracking of customer reviews across multiple platforms to understand brand sentiment, identify service issues, respond to feedback, and benchmark against competitors. According to BrightLocal, 87% of consumers read online reviews before making a purchase decision — and 94% say a negative review has convinced them to avoid a business.
The problem: reviews appear across Trustpilot, Google, Yelp, Glassdoor, TripAdvisor, App Store, Play Store, and dozens of niche platforms simultaneously. Manually checking all of them daily is impossible for any team. Automated review scraping solves this — you pull all reviews into one dataset, on a schedule, without any manual work.
OneScraper's review scrapers extract review text, star ratings, review dates, reviewer names, and platform-specific data (verified purchase status, helpful vote count, etc.) — giving you the raw material for sentiment analysis, trend reporting, and competitive intelligence.
Every major review platform covered — consumer reviews, employer reviews, hospitality reviews, and app store ratings.
Extract all reviews for any company on Trustpilot including star rating, review text, date, reviewer location, and verified status. Monitor your TrustScore weekly and get early warning of rating drops. Compare your score against up to 10 competitors simultaneously.
Pull Google Business Profile reviews with full review text, rating, reviewer profile, date, and owner responses. Google reviews heavily influence local search rankings and consumer trust — monitoring them weekly is essential for any business with a physical or local presence.
Track employer brand health with Glassdoor review scraping. Extract employee reviews, overall rating, culture score, CEO approval, interview reviews, and salary data. Critical for HR teams monitoring employer brand and recruiters assessing competitive hiring environments.
Scrape Yelp business reviews with star ratings, full review text, photos attached, reviewer elite status, check-in count, and response data. Yelp is particularly important for restaurants, salons, and service businesses where it drives a significant portion of discovery traffic.
Extract hotel, restaurant, and attraction reviews from TripAdvisor. Pull ratings by category (service, value, location, rooms), review text, travel type, and visit date. Essential for hospitality and tourism businesses tracking their ranking and competitive standing on TripAdvisor search.
Product sellers and app developers can scrape Amazon product reviews and App Store ratings. Track version-specific app ratings, monitor product review velocity, and benchmark against competitor product ratings in the same category.
Setting up a fully automated review monitoring workflow takes about 15 minutes in OneScraper:
Review monitoring isn't just about your own brand — it's one of the most valuable competitive intelligence tools available. By scraping competitor reviews, you can:
For most businesses, weekly scraping is sufficient to catch new reviews and trend changes. If your business receives a high volume of reviews (e.g., a large hotel or SaaS company with thousands of monthly users), daily monitoring ensures you never miss an urgent negative review that needs a fast response. Use OneScraper's scheduler to set this up automatically — you just receive fresh data without any manual runs.
Absolutely. OneScraper lets you run scrapers for any publicly listed company profile. Simply create separate scraper runs for each competitor's Trustpilot, Google, or Glassdoor profile and schedule them to run alongside your own brand monitoring. This gives you a weekly comparison dataset showing how your rating and review volume trends compare to each competitor — invaluable for reputation benchmarking and marketing messaging.
OneScraper focuses on data extraction — we collect the review text, ratings, and metadata in a clean structured format. For sentiment analysis, we recommend passing the extracted review text through a tool like OpenAI's GPT API, AWS Comprehend, or Google Natural Language API. Many of our users export to Google Sheets and use simple formulas or Apps Script to categorize reviews by sentiment themes automatically.
Review monitoring is especially valuable for hospitality (hotels, restaurants), SaaS and software companies (App Store, G2, Capterra), retail and e-commerce (Amazon, Google), healthcare providers (Google, Healthgrades), professional services (Google, Yelp), and employers who want to track their Glassdoor reputation for recruiting. Any business where online reviews significantly influence purchase decisions benefits from automated monitoring.
OneScraper can extract all publicly available reviews on a platform — there's no artificial time limit on how far back we collect. For a company with 10,000 Trustpilot reviews dating back several years, you can scrape the full historical dataset in a single run. Historical data is useful for trend analysis: you can plot rating changes over time to correlate with product launches, service changes, or reputation events.
Sign up free and get 100 credits. Start scraping Trustpilot, Google, Glassdoor or Yelp reviews in minutes — no developer needed.
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