Things to do in Senigallia (IT)

Crowd levels and popular times for Senigallia : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

O'sarracin (Pizza restaurant)
Via Fratelli Bandiera, 70 60019 Senigallia AN Italy
4.7

Visitors usually stay 1-2 hours here.

Pizza con impasto semi integrale ad alta digeribilità, crescia sfogliata di Urbino con farciture di eccellenza e fritti ... veniteci a trovare e soddisferemo ogni vostra richiesta 😊

For more info visit the website or checkout Google Maps.

Piadineria La Gradisca (Restaurant)
P.za Manni, 14 60019 Senigallia AN Italy
4.2

Piadineria La Gradisca is most popular around 9 PM on Saturdays. It's most quiet on Tuesdays.

Google Maps

Ristorante Boqueria (Restaurant)
Lungomare G. Marconi, 9 60019 Senigallia AN Italy
4.4

Ristorante Boqueria is most popular around 10 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

umami sushi (Sushi restaurant)
Viale Giordano Bruno, 18 60019 Senigallia AN Italy
4.2

umami sushi is most popular around 9 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

La Baldigara (Seafood restaurant)
Via Gherardi, 6 60019 Senigallia AN Italy
4.6



For more info visit the website or checkout Google Maps.

Nana Piccolo Bistrò (Seafood restaurant)
Via Giosuè Carducci, 19 60019 Senigallia AN Italy
4.7

Nana Piccolo Bistrò is most popular around 10 PM on Fridays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Senigallia, Italy. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.