Google Reviews & Ratings Dataset

The Google Reviews & Ratings Dataset delivers location-specific consumer feedback, empowering businesses with real-world insights into customer sentiment, satisfaction, and trends. This dataset provides structured review data, including star ratings, review text, timestamps, and reviewer metadata, allowing businesses to analyze feedback and make data-driven decisions.

Rather than a broad, one-size-fits-all dataset, this product offers targeted access to reviews and ratings for specific locations provided by the customer. We retrieve as much historical data as possible and ensure daily updates moving forward, enabling businesses to track ongoing sentiment and performance.

For deeper insights, we also offer optional AI-driven sentiment analysis and review summaries—aggregated weekly, monthly, or yearly—allowing businesses to quickly understand trends without manual analysis.

📌 Key Features

✔ Location-Specific Data – Reviews and ratings for locations you specify. ✔ Historical & Ongoing Insights – Access past reviews and receive daily updates. ✔ Sentiment Analysis & AI Summaries (Optional) – Understand trends with automated insights by week, month, or year. ✔ Competitor Benchmarking – Compare ratings across selected locations. ✔ Scalable & Customizable – Focus on the locations that matter most to your business.

📊 Use Cases

📍 Franchise & Retail Chains – Monitor brand reputation and performance across locations. 🏨 Hospitality & Restaurants – Track guest sentiment and service trends. 🏥 Healthcare & Medical Facilities – Understand patient feedback for specific locations. 🏢 Real Estate & Property Management – Analyze tenant and customer experiences through reviews.

📦 Data Delivery & Subscription Details

• Delivery: Secure Snowflake data share with scheduled daily updates

• Data Fields: Business name, location, star ratings, review text, timestamps, reviewer metadata

• Update Frequency: Daily

• Optional Add-Ons: AI-driven sentiment analysis and review summaries by week, month, or year

• Subscription Options: Custom pricing based on the number of locations tracked

📝 Data Attributes

• AUTHOR Name or pseudonym of the reviewer.

• RATING Star rating from 1-5 reflecting customer satisfaction.

• REVIEW_HASH Unique cryptographic identifier (SHA-256 hash shown in samples) ensuring data integrity and preventing duplicate reviews.

• REVIEW_TEXT Full-text customer comments containing qualitative feedback about location experiences.

• REVIEW_DATE_ESTIMATED Approximate review date. Historical relative dates (I.E. One Year Ago") are less accurate. If pulling daily the review dates are not estimated.

• REVIEW_SUMMARY (by day, week, year) AI Summary of the reviews for the period desired.

🔑 Get Started

Transform customer feedback into actionable insights with Google Reviews & Ratings Data in Snowflake. Contact us to learn more, request a demo, or customize your subscription.

🚀 Turn reviews into a strategic advantage!