Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 6,606 verified records spread across 67+ districts in Pennsylvania. 6,606 records carry a verified phone number and 2,312 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Montgomery (1,379 listings), Franklin (690 listings), Adams (460 listings), Monroe (345 listings), Lehigh (276 listings), Cambria (230 listings), Erie (197 listings), and Carbon (172 listings).
Additional coverage spans Wayne (153), Lackawanna (138), Armstrong (125), Clearfield (115), Lawrence (106), Mercer (99), Lebanon (92), Montour (86), Northampton (81), Cumberland (77), Cameron (73), Sullivan (69) , plus 47 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Montgomery | 1,379 | 1,379 | 483 |
| Franklin | 690 | 690 | 242 |
| Adams | 460 | 460 | 161 |
| Monroe | 345 | 345 | 121 |
| Lehigh | 276 | 276 | 97 |
| Cambria | 230 | 230 | 81 |
| Erie | 197 | 197 | 69 |
| Carbon | 172 | 172 | 60 |
| Wayne | 153 | 153 | 54 |
| Lackawanna | 138 | 138 | 48 |
| All districts (67) | 6,606 | 6,606 | 2,312 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Montgomery | 1,379 | 1,379 | 483 |
| Franklin | 690 | 690 | 242 |
| Adams | 460 | 460 | 161 |
| Monroe | 345 | 345 | 121 |
| Lehigh | 276 | 276 | 97 |
| Cambria | 230 | 230 | 81 |
| Erie | 197 | 197 | 69 |
| Carbon | 172 | 172 | 60 |
| Wayne | 153 | 153 | 54 |
| Lackawanna | 138 | 138 | 48 |
| Armstrong | 125 | 125 | 44 |
| Clearfield | 115 | 115 | 40 |
| Lawrence | 106 | 106 | 37 |
| Mercer | 99 | 99 | 35 |
| Lebanon | 92 | 92 | 32 |
| Montour | 86 | 86 | 30 |
| Northampton | 81 | 81 | 28 |
| Cumberland | 77 | 77 | 27 |
| Cameron | 73 | 73 | 26 |
| Sullivan | 69 | 69 | 24 |
| McKean | 66 | 66 | 23 |
| Tioga | 63 | 63 | 22 |
| Somerset | 60 | 60 | 21 |
| Schuylkill | 57 | 57 | 20 |
| Columbia | 55 | 55 | 19 |
| Pike | 53 | 53 | 19 |
| York | 51 | 51 | 18 |
| Bedford | 49 | 49 | 17 |
| Westmoreland | 48 | 48 | 17 |
| Warren | 46 | 46 | 16 |
| Susquehanna | 44 | 44 | 15 |
| Juniata | 43 | 43 | 15 |
| Fulton | 42 | 42 | 15 |
| Luzerne | 41 | 41 | 14 |
| Northumberland | 39 | 39 | 14 |
| Bradford | 38 | 38 | 13 |
| Venango | 37 | 37 | 13 |
| Centre | 36 | 36 | 13 |
| Butler | 35 | 35 | 12 |
| Beaver | 34 | 34 | 12 |
| Philadelphia | 34 | 34 | 12 |
| Crawford | 33 | 33 | 12 |
| Blair | 32 | 32 | 11 |
| Lancaster | 31 | 31 | 11 |
| Snyder | 31 | 31 | 11 |
| Elk | 30 | 30 | 11 |
| Jefferson | 29 | 29 | 10 |
| Union | 29 | 29 | 10 |
| Washington | 28 | 28 | 10 |
| Fayette | 28 | 28 | 10 |
| Berks | 27 | 27 | 9 |
| Chester | 27 | 27 | 9 |
| Huntingdon | 26 | 26 | 9 |
| Indiana | 26 | 26 | 9 |
| Clinton | 25 | 25 | 9 |
| Allegheny | 25 | 25 | 9 |
| Mifflin | 24 | 24 | 8 |
| Perry | 24 | 24 | 8 |
| Greene | 23 | 23 | 8 |
| Forest | 23 | 23 | 8 |
| Clarion | 23 | 23 | 8 |
| Potter | 22 | 22 | 8 |
| Bucks | 22 | 22 | 8 |
| Wyoming | 22 | 22 | 8 |
| Delaware | 21 | 21 | 7 |
| Lycoming | 21 | 21 | 7 |
| Dauphin | 20 | 20 | 7 |
| All districts (67) | 6,606 | 6,606 | 2,312 |
The Casual Dining restaurants database includes 6,606+ verified Casual Dining restaurants in Pennsylvania, United States with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Darren (US) bought 1 hour ago · Arne (GB) bought 1 day ago · Lorenz (US) bought 2 days ago · Lizzie (US) bought 2 days ago · Matilda (US) bought 4 days ago
Our latest 2026 count shows 6,606+ live Casual Dining restaurants across Pennsylvania, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Casual Dining restaurants CSV covering all of Pennsylvania, United States within seconds. Every row is human-checked.
Every record in the Casual Dining restaurants dataset includes: Casual Dining store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Triple-source verification: the Casual Dining store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Casual Dining restaurants dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Casual Dining catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Pennsylvania, United States is a 6,606+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 18, 2026 02:30 AM
Published:
May 11, 2026 04:08 AM
Rows (Regular):
3,303
Rows (Extended):
6,606
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
