Arizona Datasets

Restaurant intelligence dataset for Flagstaff, Arizona. This city-level export includes every active restaurant listing filtered by the Restaurants category group, with review analytics and sentiment data. Refreshed weekly.

Complete restaurant market coverage for Surprise, Arizona with a population of over 143k. Filtered by the Restaurants category group with verified business profiles, review sentiment, competitive analysis, and contact information. Refreshed weekly.

Complete dataset of all active restaurant listings in Gilbert, Arizona with a population of over 267k. Filtered by the Restaurants category group, this city-level export covers verified business profiles including ratings, reviews, contact details, and competitive metrics for the local dining market. Refreshed weekly.

Complete restaurant market coverage for Avondale, Arizona. This city-level export includes every active restaurant listing filtered by the Restaurants category group, with review analytics and sentiment data. Refreshed weekly.

City-level restaurant data for Tempe, Arizona with a population of over 180k. Filtered by the Restaurants category group with business profiles, ratings, competitive metrics, and contact details. Refreshed weekly.

Exact cleanliness evidence export. Matches dirty_reviews >= 3 AND dirty_share >= 0.18 with dirty_threshold = -0.3. Export files emit an email-based custom profile with cleanliness_dirty_reviews and cleanliness_dirty_share.

Market-wide restaurant data for Buckeye in the Southwest. Filtered by the Restaurants category group, providing business profiles, review counts, contact information, and competitive benchmarks. Refreshed weekly.

All verified restaurant listings in Mesa, Arizona with a population of over 504k. Filtered by the Restaurants category group, this city-level dataset provides business profiles, ratings, review counts, contact information, and competitive benchmarks for the local market. Refreshed weekly.

--High-Volume, Active targets-- Popular restaurants sitting in the Top 30% of their local market for proven foot traffic and review volume within the last 90 days and a market scope of 1km. These are the highest-velocity, actively transacting accounts for payment processing, POS systems, and supply chain sales. Validated by an "Active Heartbeat" signal.

--High-Volume, Active targets-- Popular restaurants sitting in the Top 30% of their local market for proven foot traffic and review volume within the last 90 days and a market scope of 1km. These are the highest-velocity, actively transacting accounts for payment processing, POS systems, and supply chain sales. Validated by an "Active Heartbeat" signal.

City-level restaurant data for Tucson, Arizona with a population of over 542k. This dataset includes every active restaurant listing filtered by the Restaurants category group, with business profiles, review analytics, competitive rankings, and sentiment data. Refreshed weekly.

--Distressed Restaurants with Verified Decline-- Established, well-reviewed restaurants now experiencing a sharp and confirmed drop in customer sentiment. These are previously high-performing venues where the 360-day sentiment was strong, but 90-day sentiment has crashed by 20%+. That's a leading indicator of operational trouble, ownership fatigue, or market-ready distress. Every listing is an independent restaurant (no nation-wide chains), confirmed active with 100+ total reviews and an "Active Heartbeat" signal within the last 90 days. Each restaurant in this dataset has at least one verified and contactable email address.

The "Blue Ocean" Map. Specific markets where category demand is high (active sentiments) but supply is thin (<5 competitors) in cities with 50k+ population. These records are the only locations in the Sun Belt West US (TX, AZ, NM, NV, LA) that pass a strict tri-factor test for high density, severe market undersupply, and immediate micro-radius opportunity.

Comprehensive dining market data for Peoria, Arizona with a population of over 190k. Covers the local dining market filtered by the Restaurants category group with ratings, review trends, competitive rankings, and market positioning data. Refreshed weekly.

Detailed restaurant dataset for Yuma, Arizona. Covers the local dining market filtered by the Restaurants category group with ratings, review trends, competitive rankings, and market positioning data. Refreshed weekly.

Marketing Agency Gold. High-rated restaurants (>4.5 rating) with low to zero social presence (<100 followers OR no social profiles) for social media marketing. Great product, terrible distribution -> Pitch them Growth.

The "Low Hanging Fruit." They have the budget but need the tech. Restaurants well-established (Beam Score > 70) and performing (sentiments last 30 days > 10 that lack online reservation AND online ordering Ready for technology adoption and modernization.

The "Low Hanging Fruit." They have the budget but need the tech. Restaurants well-established (Beam Score > 70) and performing (sentiments last 30 days > 10 that lack online reservation AND online ordering Ready for technology adoption and modernization.

--Social Platform Gap-- High IG followers (>10k) but near-zero activity on TikTok presence. Perfect for social media and content agencies.

--Defensible Leaders-- Top 50 ranked high-volume restaurants. Each venue with massive review volume. The safest bets. Uses State Rank to find the absolute biggest players.