Best restaurants Harderwijk (NL)

Popular restaurants and hours for eating in Harderwijk Netherlands : Secure a table before rush hour at the most popular restaurants.

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

Restaurant Caert (Restaurant)
Vuldersbrink 65 3841 AS Harderwijk Netherlands
4.7



For more info visit the website or checkout Google Maps.

Nimet Pizzeria & Lunchroom (Pizza restaurant)
Luttekepoortstraat 19 3841 AW Harderwijk Netherlands
4.1

Nimet Pizzeria & Lunchroom is most popular around 6 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Hu Bin (Chinese restaurant)
Strandboulevard Oost 14 3841 AB Harderwijk Netherlands
3.8

Hu Bin is most popular around 6 PM on Mondays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Restaurant Ratatouille (Restaurant)
Vischmarkt 6 3841 BG Harderwijk Netherlands
4.8

Restaurant Ratatouille is most popular around 7 PM on Thursdays. Visitors usually stay 3,5 hours here. It's most quiet on Sundays.

Aan het mooiste pleintje van Harderwijk ligt Restaurant Ratatouille, waar groenten het hoogste woord hebben!

For more info visit the website or checkout Google Maps.

Twins Corner (Restaurant)
Stationsplein 20 3844 KR Harderwijk Netherlands
4.2



For more info visit the website or checkout Google Maps.

Nieuw Xing Jie (Restaurant)
P.C. Hooftplein 1 3842 HB Harderwijk Netherlands
4.5

Nieuw Xing Jie is most popular around 6 PM on Sundays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.

Chinees afhaal restaurant

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 Harderwijk, Netherlands. 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.