# data[].attributes.body
llaollao, smooy, oreo,

# data[].attributes.body
Fanta, Coca cola, sprite, nestle, tick tack, m&m, oreo, pepsi,

# data[].attributes.body
LG, SAMSUNG, APPLE, SONY, HP

# data[].attributes.body
HP, nikon, canon

# data[].attributes.body
Citroen, Audi, mercedes, Ferrari

# data[].attributes.body
MERCADONA, CONSUME, CARREFOUR, SUPER COR, WALMART

# data[].attributes.body
BMW, FORCHE,

# data[].attributes.body
Radisson, NH, Hilton, Sandal

# data[].attributes.body
intercontinental , westin
, ibis

# data[].attributes.body
Fanta, sweeps, bacardi, nestle

# data[].attributes.body
Food and drink: Nestlé, Colacao, waikies, lays, oreo, Kit Kat, Fanta,
Clothes and acessories: Zara, Agatha Ruiz, Misako,nike,Adidas, Levis
Cars: BMW, Ferrari, Volvo, Opel, Nissan, Toyota, Kia, ford
Technology: android, LG, huawei

# data[].attributes.body
Acer, HP, Microsoft, Sony,

# data[].attributes.body
Zara, Mango, Pull and Bear, Bershka, Stradivarius, Gucci, Dior , Swarowski, Dolce&Gabbana,  Louis Vuitton, Nike, Tous, Adidas, Reebok, Converse,  The are, Maria Pascual, Top Shop, Versace.

# data[].attributes.body
NH, Melia, Inn Hotels, Ritz, Parador, AC Hoteles, Hotel Palace

# data[].attributes.body
Mercedes, Audi, Ford, WV

# data[].attributes.body
Nocilla , Cola Cao, Nesquick, Hacendado, Fanta, Kas, Nestea, Martini, Cruzcampo, Estrella Galicia, Activia, Bimbo,

# data[].attributes.body
H&M , stradivadious

# data[].attributes.body
Tommy hilfiguer, ralph lauren, gucci

# data[].attributes.body
Zara, Mango, Gucci, Nike, Pandora

# data[].attributes.body
Food and drink :

Evian, Coke, Burger King , Mcdonalds ,Milka, Pepsi, Fanta, Oreo, Lay's, Nesquick, Twinx , Sprite, Knorr, Toblerone, Milka, Trident ....

Clothes and Accessories: Tous, Pandora, Zara, H&M, Bershka, Gap, Gucci, Dior, Vans, Converse, Ralph Lauren, Tommy Hilfiger , Armani, Michael Kors, D&G, Calvin Klein, Topshop, Primark, Pull and Bear ....

Cars : Fiat, Ford, Renault, Lamborghini , Ferrari, Opel, Nissan, Volkswagen ,Lancia, Volvo, Citroen...

# data[].attributes.body
Gucci, levi's, nike, tous, adidas, michael kors, zara, louis vuitton, lotus, pandora, thomas sabo, guess,

# data[].attributes.body
Food and drinks: Fanta, Nutella
Clothes: Prada, Tous, Zara, Victorias Secret, Abercrombie
Cars: BMW, Audi, Mercedes Benz
Technology: Sony, Philips, Huawei, HP
Hotels: Hilton, NH hotels, Ritz

# data[].attributes.body
Hilton Waldorf Astoria
Accor
Four Seasons
Pullman
Sofitel
Fouquet's

# data[].attributes.body
Food and drink: Coca-cola; Cola-cao; lays; Mahou; Subway; Mcdonald´s; Nestle;llaollao;
Clothes and accessories: Chanel; Prada; Burberry; Loewe; LV; CK;MK; CH; Fendi; IT; Puma; Reebok; levis; Adidas; Supreme; Champion;
Cars: Toyota; Mercedes-benz;ford; BMW; Rolls-Royce Motor Cars Limited; Porsche;
technology: Panasonic; Huawei; xiaomi; LG; lenovo

# data[].attributes.body
Starbucks, McDonald's, Burger King

# data[].attributes.body
1. Coca cola, Buitoni, Fanta, Aquarius
2. Lotus, Zara, Swarovski, Nike, adidas
3. Ford, Ferrari, Lamborghini, Volkswagen
4. Huawei, Nokia, LG, Toshiba, Philips
5. Hilton, Ac, NH