Customer Sentiment Intelligence

Restaurant Reviews Dataset
Ratings & Feedback Data

Extract structured restaurant reviews, star ratings, customer feedback, and sentiment data from the world's top food delivery and review platforms. Built for brand monitoring, competitor analysis, and AI-powered NLP models.

Zomato Swiggy Google Maps TripAdvisor Yelp UberEats
Star ratings & review text Sentiment analysis ready Multi-platform coverage Historical feedback data CSV, JSON & API delivery
Data Schema

What Review Data We Extract

Every dimension of customer feedback — structured, clean, and ready for analysis or model training.

⭐ Core Review Data
  • Star rating (1–5)
  • Review title & full text
  • Review date & timestamp
  • Verified / unverified tag
  • Helpful votes count
👤 Reviewer Profile
  • Reviewer username
  • Profile level / elite status
  • Total reviews written
  • Location of reviewer
  • Review history count
🏢 Restaurant Context
  • Restaurant name & branch
  • Cuisine type & category
  • Overall rating & total count
  • City & location details
  • Platform source tag
🧠 Sentiment Signals
  • Positive / negative / neutral label
  • Key themes (food, service, hygiene)
  • Complaint keywords extracted
  • Praise keywords extracted
  • NLP-ready raw text output
📸 Media & Tags
  • Review image / photo URLs
  • Dish tags mentioned in review
  • Visit type (dine-in, delivery, takeaway)
  • Occasion tags (family, date, business)
📈 Trend Metrics
  • Rating trend over time
  • Review volume by month
  • Recent vs historical avg rating
  • Response rate from restaurant
  • Owner reply text
Source Platforms

Review Platforms We Scrape

We extract customer reviews and ratings from the world's leading food, travel, and local business review platforms.

Don't see your platform? Tell us your requirements — if it's on the web, we can scrape it.

Premium Reliability

Why Businesses Trust ScraperScoop

Built for accuracy, depth, and scale — everything your review data pipeline demands.

High-Volume Extraction

Scrape hundreds of thousands of reviews across thousands of restaurants in a single run.

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NLP & Sentiment Ready

Data structured and pre-labelled for direct use in sentiment analysis, topic modelling, and LLM fine-tuning.

🌍

Multi-Platform Coverage

Aggregate reviews from Zomato, Swiggy, TripAdvisor, Google Maps, Yelp, and more in a unified schema.

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Safe & Ethical Scraping

Residential proxies and compliant methods ensure zero platform disruption and no legal risk.

📅

Historical Data Available

Access months or years of past reviews — not just live data — for long-term trend analysis.

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Free Sample Available

Request a free sample dataset before committing — validate schema fit and data quality for your use case.

Strategic Applications

Review Data Use Cases

Turning customer feedback into actionable intelligence across every industry.

Use Case Strategic Benefit
Brand Reputation Monitoring Track real-time sentiment across platforms to catch and respond to negative trends before they escalate.
Competitor Benchmarking Compare your ratings, review volume, and customer sentiment against rival restaurants in your city.
NLP & Sentiment Analysis Feed large-scale labelled review datasets into sentiment models, topic classifiers, and LLMs.
Product / Menu Improvement Identify recurring complaints about specific dishes or service issues directly from customer language.
AI Model Training Build recommendation engines, review summarisers, and rating prediction models with clean review corpora.
Market Research Understand cuisine preferences, dining habits, and regional taste trends from aggregated review data.
BI Dashboards Pipe structured review metrics directly into internal tools for ongoing performance tracking.
How It Works

The ScraperScoop Process

From requirement to delivery — a streamlined four-step workflow built for speed and precision.

01
Requirement Sync

You define the platforms, cuisines, cities, rating filters, and date ranges for the reviews you need.

02
Custom Scraper Build

Our engineers build platform-specific scrapers to bypass anti-bot systems, pagination limits, and login walls.

03
Data Validation

Every review dataset undergoes automated QA — deduplication, encoding fixes, and schema normalisation.

04
Delivery & Sync

Delivered via secure cloud storage, CSV/JSON download, or integrated directly into your API pipeline.

Pricing & Engagement Models

Flexible solutions for researchers, startups, and enterprise teams.

One-Time Dataset
Ideal for academic research, brand audits, or a one-off competitive sentiment snapshot.
  • Single extraction snapshot
  • CSV / Excel / JSON format
  • Full schema access
  • Delivered within 48 hours
Get Quote
Real-Time API
Engineered for live reputation platforms, AI pipelines, and enterprise BI integrations.
  • Low-latency live endpoints
  • Automatic anti-bot handling
  • Unlimited scalability
  • SLA-backed uptime
Contact Sales

Need something unique? Custom Projects available for tailor-made review data requirements.

Bulk & Annual Discounts Available.

Start Extracting Data Today

Tell us your requirements and get a custom quote within 15 minutes.

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