About This Dataset
View the average rating on Google for every coffee shop in Philadelphia and find the best-rated café in each neighborhood using this unique dataset created by our analytics team.
This dataset includes rating information such as the average score, number of reviews, and reviews per score, as well as business information such as the address, working hours, latitude/longitude, and profile description (if available). We have also cleaned up the neighborhood data to make it as useful as possible.
Data sources: Google Maps; Custom web scraping
Sample Data 
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Coffeeshop Dataset Sample
| wdt_ID | name | full_address | neighborhood | latitude | longitude | rating | number_of_reviews | reviews_per_star_rating | 1_star_reviews | 2_star_reviews | 3_star_reviews | 4_star_reviews | 5_star_reviews |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dodo Bakery | 2653 S 11th St, Philadelphia, PA 19148 | Lower Moyamensing | 39.9163107 | -75.1658587 | 4.9 | 146 | {“1”: 2, “2”: 0, “3”: 4, “4”: 4, “5”: 136} | 2 | 0 | 4 | 4 | 136 |
| 2 | HomeGrown Coffee and Creations | 1515 W Porter St, Philadelphia, PA 19145 | Melrose | 39.9198589 | -75.1730406 | 4.7 | 125 | {“1”: 5, “2”: 0, “3”: 4, “4”: 15, “5”: 101} | 5 | 0 | 4 | 15 | 101 |
| 3 | Tasty Tea | 2223 S 7th St, Philadelphia, PA 19148 | Wharton | 39.9209963 | -75.158447 | 4.7 | 30 | {“1”: 0, “2”: 1, “3”: 1, “4”: 3, “5”: 25} | 0 | 1 | 1 | 3 | 25 |
| 4 | Numidia | 2340 S Hemberger St 1st floor, Philadelphia, PA 19145 | Girard Estates | 39.9228624 | -75.1847068 | 5 | 26 | {“1”: 0, “2”: 0, “3”: 0, “4”: 0, “5”: 26} | 0 | 0 | 0 | 0 | 26 |
| 5 | Holy Cannoli Cafe | 1716 Jackson St, Philadelphia, PA 19145 | Newbold | 39.9237039 | -75.1754578 | 5 | 36 | {“1”: 0, “2”: 0, “3”: 0, “4”: 1, “5”: 35} | 0 | 0 | 0 | 1 | 35 |
| 6 | Caffè Ida | 1732 W Passyunk Ave, Philadelphia, PA 19145 | Newbold | 39.9242164 | -75.1756886 | 4.7 | 131 | {“1”: 5, “2”: 1, “3”: 1, “4”: 8, “5”: 116} | 5 | 1 | 1 | 8 | 116 |
| 7 | Catrina’s cafe | 2001 S 9th St, Philadelphia, PA 19148 | Lower Moyamensing | 39.9243801 | -75.1608654 | 5 | 14 | {“1”: 0, “2”: 0, “3”: 0, “4”: 0, “5”: 14} | 0 | 0 | 0 | 0 | 14 |
| 8 | Kabylian South Philly Coffee Shop | 1424 W Snyder Ave, Philadelphia, PA 19145 | Newbold | 39.9244116 | -75.1707421 | 4.8 | 79 | {“1”: 1, “2”: 0, “3”: 2, “4”: 8, “5”: 68} | 1 | 0 | 2 | 8 | 68 |
| 9 | Two Persons | Bok Building, 821 Dudley St, Philadelphia, PA 19148 | East Passyunk Crossing | 39.9249137 | -75.1601514 | 4.8 | 88 | {“1”: 1, “2”: 1, “3”: 1, “4”: 5, “5”: 80} | 1 | 1 | 1 | 5 | 80 |
| 10 | Mediterranean Cafe | 1427 W Passyunk Ave, Philadelphia, PA 19145 | Newbold | 39.925478 | -75.1706471 | 4.7 | 33 | {“1”: 1, “2”: 0, “3”: 2, “4”: 2, “5”: 28} | 1 | 0 | 2 | 2 | 28 |
| name | full_address | neighborhood | latitude | longitude | rating | number_of_reviews | reviews_per_star_rating | 1_star_reviews | 2_star_reviews | 3_star_reviews | 4_star_reviews | 5_star_reviews |
Date Created: July 2023
Time Range: June 2023
Estimated Update Frequency: Upon request
Available Formats: CSV, XLS, JSON
Price: Free
Who Is This Data For?
This dataset is best suited for Philadelphia-based journalists and influencers who are looking for a great angle for their next article. Its data would also be excellent for coffee connoisseurs in Philly seeking information about all the coffee shops throughout the city.
The suggested use cases for this dataset include:
- Inform unique, engaging content to capture the interest of your audience.
- Identify the best coffee shop in any Philadelphia neighborhood (or all of them!).
- Evaluate the market and identify opportunities for new coffee shop locations.
Enrichment Options
We utilize state-of-the-art AI and machine learning to enrich datasets further and provide predictive analytics for your important KPIs. Get in touch to learn more.
Enrichment opportunities for this dataset include:
- Create additional coffeeshop or business datasets for non-Philly locations
- Blend data with other data sources for additional insights
- Subscribe to a regularly updated data feed / Create a custom API
- Request related data unique to your needs
Data Enrichment
We can provide additional services such as blending this data with your internal data, applying predictive analytics, and more. Get in touch to learn more.
Additional Questions?
If you have additional questions, or have a specific request for this dataset, contact our team at FourFront.
Date Created: July 2023
Time Range: June 2023
Estimated Update Frequency: Upon request
Available Formats: CSV, XLS, JSON
Price: Free
Sample Data Scroll table horizontally to view more
Coffeeshop Dataset Sample
| wdt_ID | name | full_address | neighborhood | latitude | longitude | rating | number_of_reviews | reviews_per_star_rating | 1_star_reviews | 2_star_reviews | 3_star_reviews | 4_star_reviews | 5_star_reviews |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dodo Bakery | 2653 S 11th St, Philadelphia, PA 19148 | Lower Moyamensing | 39.9163107 | -75.1658587 | 4.9 | 146 | {“1”: 2, “2”: 0, “3”: 4, “4”: 4, “5”: 136} | 2 | 0 | 4 | 4 | 136 |
| 2 | HomeGrown Coffee and Creations | 1515 W Porter St, Philadelphia, PA 19145 | Melrose | 39.9198589 | -75.1730406 | 4.7 | 125 | {“1”: 5, “2”: 0, “3”: 4, “4”: 15, “5”: 101} | 5 | 0 | 4 | 15 | 101 |
| 3 | Tasty Tea | 2223 S 7th St, Philadelphia, PA 19148 | Wharton | 39.9209963 | -75.158447 | 4.7 | 30 | {“1”: 0, “2”: 1, “3”: 1, “4”: 3, “5”: 25} | 0 | 1 | 1 | 3 | 25 |
| 4 | Numidia | 2340 S Hemberger St 1st floor, Philadelphia, PA 19145 | Girard Estates | 39.9228624 | -75.1847068 | 5 | 26 | {“1”: 0, “2”: 0, “3”: 0, “4”: 0, “5”: 26} | 0 | 0 | 0 | 0 | 26 |
| 5 | Holy Cannoli Cafe | 1716 Jackson St, Philadelphia, PA 19145 | Newbold | 39.9237039 | -75.1754578 | 5 | 36 | {“1”: 0, “2”: 0, “3”: 0, “4”: 1, “5”: 35} | 0 | 0 | 0 | 1 | 35 |
| 6 | Caffè Ida | 1732 W Passyunk Ave, Philadelphia, PA 19145 | Newbold | 39.9242164 | -75.1756886 | 4.7 | 131 | {“1”: 5, “2”: 1, “3”: 1, “4”: 8, “5”: 116} | 5 | 1 | 1 | 8 | 116 |
| 7 | Catrina’s cafe | 2001 S 9th St, Philadelphia, PA 19148 | Lower Moyamensing | 39.9243801 | -75.1608654 | 5 | 14 | {“1”: 0, “2”: 0, “3”: 0, “4”: 0, “5”: 14} | 0 | 0 | 0 | 0 | 14 |
| 8 | Kabylian South Philly Coffee Shop | 1424 W Snyder Ave, Philadelphia, PA 19145 | Newbold | 39.9244116 | -75.1707421 | 4.8 | 79 | {“1”: 1, “2”: 0, “3”: 2, “4”: 8, “5”: 68} | 1 | 0 | 2 | 8 | 68 |
| 9 | Two Persons | Bok Building, 821 Dudley St, Philadelphia, PA 19148 | East Passyunk Crossing | 39.9249137 | -75.1601514 | 4.8 | 88 | {“1”: 1, “2”: 1, “3”: 1, “4”: 5, “5”: 80} | 1 | 1 | 1 | 5 | 80 |
| 10 | Mediterranean Cafe | 1427 W Passyunk Ave, Philadelphia, PA 19145 | Newbold | 39.925478 | -75.1706471 | 4.7 | 33 | {“1”: 1, “2”: 0, “3”: 2, “4”: 2, “5”: 28} | 1 | 0 | 2 | 2 | 28 |
| name | full_address | neighborhood | latitude | longitude | rating | number_of_reviews | reviews_per_star_rating | 1_star_reviews | 2_star_reviews | 3_star_reviews | 4_star_reviews | 5_star_reviews |
Who Is This Data For?
This dataset is best suited for Philadelphia-based journalists and influencers who are looking for a great angle for their next article. Its data would also be excellent for coffee connoisseurs in Philly seeking information about all the coffee shops throughout the city.
The suggested use cases for this dataset include:
- Inform unique, engaging content to capture the interest of your audience.
- Identify the best coffee shop in any Philadelphia neighborhood (or all of them!).
- Evaluate the market and identify opportunities for new coffee shop locations.
Enrichment Options
We utilize state-of-the-are AI and machine learning to enrich the datasets further and provide predictive analytics for your important KPIs. Get in touch to learn more.
Enrichment opportunities for this dataset include:
- Create additional coffeeshop or business datasets for non-Philly locations
- Blend data with other data sources for additional insights
- Subscribe to a regularly updated data feed / Create a custom API
- Request related data unique to your needs
Data Enrichment
We can provide additional services such as blending this data with your internal data, applying predictive analytics, and more. Get in touch to learn more.
Additional Questions?
If you have additional questions, or have a specific request for this dataset, contact our team at FourFront.
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