December 22, 2024 06:07 AM

Boteco Food Truck Made It In Yelp's Top 100 Best Places To Eat In the US

A food truck in Austin is one of the eateries that have made it onto Yelp's Top 100 Places to Eat in the U.S. for 2017. A number of other places in Texas also made the cut including one in Bee Cave.

Yelp has conducted the fourth online review for the Top 100 places to eat in the US. The rankings were determined using a combination of a total number of recent reviews and ratings. Fox News reported that in the past, Yelp has published their list with famous places, however, stomping this year, 50 percent of the restaurants that made it on the list opened a couple of years ago. Boteco food truck is one of those who made it to the popular Yelp's Top 100 Places to Eat in the US.

Boteco Food Truck is the only one from Austin that made it to Yelp's ranking. They are a full-service food truck specializing in Brazilian street food in Austin, Texas. The food truck claims to be a local neighborhood joint that people go to for delicious food, drinks, and conversation. Boteco aims to bring laid-back Brazilian vibe to Austin.

To keep up with its mission, Boteco hosts shows that features Brazilian beat and rhythm. Boteco has Brazilian accordion player performing one night and samba stomping their graceful feet to the beat on another night. Boteco also makes its presence visible and participates in festivals like National Treasures Annual Rockfest in August, Brazil Day in Austin in September, SXSW Eco in October among others.

The reviews about Boteco in Yelp gives an impression that the food truck provides a remarkable dining experience. One guest said that Boteco vibes are inviting and loungy, perfect atmosphere to kick back and sip on some Kava, Bula. Another guest remarked that Boteco is a great place with friendly staff, warm environment that feels like home, and a community of great people. He added that the drinks are top notch, great quality and taste, and unique recipes for Kava and Kratom.

Join the Discussion
Real Time Analytics