Pennsylvania Datasets

Metro-wide restaurant data for the Reading (Metro), Pennsylvania metropolitan area, spanning Reading. Covers a growing metropolitan dining market, filtered by the Restaurants category group. Includes verified business profiles, review analytics, competitive rankings, and contact details. Refreshed weekly.

Full metro-level restaurant coverage for Scranton--Wilkes-Barre (Metro), Pennsylvania, spanning Scranton-, Wilkes, and Barre. Covers a mid-size metropolitan dining market, filtered by the Restaurants category group. Includes verified business profiles, review analytics, competitive rankings, and contact details. Refreshed weekly.

Full restaurant census covering Erie, Pennsylvania. Filtered by the Restaurants category group, providing business profiles, review counts, contact information, and competitive benchmarks. Refreshed weekly.

Multi-city restaurant dataset for Allentown-Bethlehem-Easton (Metro), PA-NJ, covering Allentown, Bethlehem, and Easton. Covers a mid-size metropolitan dining market, filtered by the Restaurants category group. Includes verified business profiles, review analytics, competitive rankings, and contact details. Refreshed weekly.

Restaurant market intelligence for the Erie (Metro), Pennsylvania metro, including Erie. Captures the competitive landscape across city boundaries within a growing metropolitan dining market. Filtered by the Restaurants category group with business profiles, ratings, reviews, and competitive metrics. Refreshed weekly.

Full metro-level restaurant coverage for Lancaster (Metro), Pennsylvania, spanning Lancaster. Covers the full metropolitan dining ecosystem of a mid-size metropolitan dining market. Filtered by the Restaurants category group with ratings, review analytics, competitive positioning, and contact information. Refreshed weekly.

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

Complete restaurant market coverage for Reading, Pennsylvania. 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.

Multi-city restaurant dataset for Youngstown-Warren (Metro), Ohio, covering Youngstown and Warren. Covers the full metropolitan dining ecosystem of a growing metropolitan dining market. Filtered by the Restaurants category group with ratings, review analytics, competitive positioning, and contact information. Refreshed weekly.

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 Mid-Atlantic US (PA, NJ, MD, VA, DE, DC, WV) that pass a strict tri-factor test for high density, severe market undersupply, and immediate micro-radius opportunity.

Full restaurant census covering Scranton, Pennsylvania. 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 Allentown, Pennsylvania with a population of over 125k. Filtered by the Restaurants category group, providing business profiles, review counts, contact information, and competitive benchmarks. Refreshed weekly.

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.

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.

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

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 Startup List. Businesses that registered their website domain < 90 Days ago. Nation wide coverage. They are in the "Setup Phase"—need everything (Payroll, Insurance, SEO).