Map the food service market by city, neighborhood or postal code
Identify establishments with an active presence on digital channels, with profile, operations, reputation and menu already combined with public registry data, to prioritize territories and sales approaches.
Coverage
City, neighborhood or set of postal codes
Sources
Digital channels and public registry data
Signals
Profile, operations, reputation and menu
An integrated view of every establishment
Market intelligence that combines signals from digital channels with public company data to understand which restaurants and food service establishments are in the area, how they operate and how they position themselves. Every layer carries its source and collection date; fields depend on what the establishment publishes, and the layers included are defined per project.
Establishments
Identification, location and profile of the restaurants and other food service establishments found on digital channels.
Fields
Name, segment, category, chain or independent, address, coordinates, recent entry on digital channels
Operations
How the establishment operates, as published on digital channels.
Fields
Hours, business phone when available, minimum order, takeout, scheduling, logistics, delivery fee and time, payment methods listed, price range
Company
Public registry data of the company, when the establishment lists its CNPJ on the digital channel.
Fields
CNPJ, legal name, registry status, company size, share capital, main activity code (CNAE), opening date, Simples Nacional and MEI status
Customer voice
Public reviews organized by topic, delivered without author identification data.
Fields
Rating, date, published text, mentions of packaging, leakage, temperature, delivery, quantity and quality
Menu
Products, categories and prices published by the establishment on digital channels.
Fields
Categories, items, prices, discounts, options and add-ons, when available
History
Changes observed between contracted updates.
Fields
Entry to or exit from digital channels, evolution of the average review rating, price and menu changes
For teams that sell, onboard or expand in food service
From an area to a qualified base of restaurants and food service establishments, with criteria for prospecting, expansion and sales planning.
Platforms and apps that onboard establishments
Identify establishments with an active presence by neighborhood and segment and prioritize by reputation and review volume.
Cut criteria
Segment, neighborhood, rating, review volume, recent entry on digital channels
Acquirers, business accounts and benefits
Size each area by payment methods listed, company size and Simples Nacional status before defining the onboarding strategy.
Cut criteria
Payment methods, company size, Simples Nacional and MEI, registry status
Foodservice distributors and wholesalers
Structure routes and portfolios by kitchen type, size and opening hours.
Cut criteria
Segment, size, neighborhood, hours, chain or independent
Packaging and disposables
Prioritize establishments whose reviews mention packaging, leakage or temperature.
Cut criteria
Reviews by topic, review volume
Food and beverage manufacturers
Map points of sale by segment and neighborhood and identify, from the menu, where your category has not been identified yet.
Cut criteria
Segment, neighborhood, chain or independent, price range
Franchisors and expansion
Assess density, competition and reputation by area before opening a unit.
Cut criteria
Coordinates, neighborhood, rating, chain or independent
Define the market your team needs to analyze
Combine location, profile, reputation, company data and operations to build the project’s cut. Delivery as CSV, Excel, API or batch for integration.
Location
- City
- Neighborhood
- Postal-code radius
- Coordinates
Profile
- Cuisine segment
- Chain or independent
- Price range
- Opening hours
Reputation
- Customer rating
- Review volume
- Reviews about packaging
- Reviews about leakage
- Reviews about temperature
- Reviews about delivery
- Reviews about quantity
- Reviews about quality
Company
- Registry status
- Company size
- Simples Nacional and MEI
- Share capital
- Years in business
- Activity code
Operations
- Payment methods listed
- Own logistics
- Takeout
- Scheduling
- Minimum order
Commercial signals
- Business contact available
- Recent entry on digital channels
Segments covered
Cuisines and formats in the database.
- Brazilian
- Japanese
- Pizza
- Sweets and cakes
- Italian
- Snacks
- Ice cream
- Bakery
- Arabic
- Healthy
- Lunch boxes
- Açaí
- Meats
- Savory snacks
- Pastel
- Chinese
- Vegetarian
- Vegan
- Burgers
- Coffee shop
- Drinks
- Frozen
- and more
Questions your team can answer
Examples of analyses made possible by combining the contracted layers.
Territory
How many Japanese restaurants with an active presence were identified in Vila Mariana, and which are rated above 4.5?
Layers
Establishments, Customer voice
New signals
Which establishments recently appeared on digital channels within my coverage?
Layers
Establishments, History
Customer voice
Which establishments have reviews that mention packaging, leakage or temperature?
Layers
Customer voice
Onboarding
Which establishments list meal vouchers, and which do not list that payment method?
Layers
Operations
Qualification
Which companies are active in the CNPJ registry, opted for Simples Nacional and opened less than two years ago?
Layers
Company
Trade marketing
On which menus in the area does my category appear, and on which has it not been identified yet?
Layers
Menu
Coverage and updates defined per project
We verify the digital presence of the area of interest before the proposal. The project defines coverage, layers, update frequency and delivery format.
Coverage
City, neighborhood, postal code, set of postal codes or coordinates.
Updates
Frequency defined by the sources and the contracted scope. Every file carries its latest collection date.
See how the data reaches your team
An illustrative slice of the establishments file, with the delivery headers. Fields vary with the layers of the project.
| NOME | SEGMENTO | BAIRRO | CIDADE | NOTA | AVALIAÇÕES | ATIVO | CNPJ | PORTE | ÚLTIMA COLETA |
|---|---|---|---|---|---|---|---|---|---|
| PIZZARIA DOM VITO | PIZZA | BELA VISTA | SÃO PAULO | 4.8 | 312 | SIM | ••.•••.•••/0001-•• | MICRO EMPRESA | 2026-09-12 |
| SUSHI OKAMI | JAPONESA | CONSOLAÇÃO | SÃO PAULO | 4.7 | 1204 | SIM | ••.•••.•••/0001-•• | EMPRESA DE PEQUENO PORTE | 2026-09-12 |
| NAPOLI FORNO A LENHA | PIZZA | PARAÍSO | SÃO PAULO | 4.6 | 87 | NÃO | 2026-09-11 |
Example with illustrative data: fictional names and masked CNPJ. Column names are in Portuguese, as in the delivered file.
Structured deliveries, with versioned columns and a collection date in every file.
Standard delivery columns
v1File: estabelecimentos.csv
- NOME
- SEGMENTO
- CATEGORIA
- REDE
- ENDEREÇO
- BAIRRO
- CIDADE
- UF
- CEP
- LATITUDE
- LONGITUDE
- CNPJ
- TELEFONE COMERCIAL
- NOTA
- AVALIAÇÕES
- ATIVO
- LOGÍSTICA
- TAXA ENTREGA
- TEMPO ENTREGA
- RETIRADA
- AGENDAMENTO
- PEDIDO MÍNIMO
- MEIOS DE PAGAMENTO
- FAIXA DE PREÇO
- HORÁRIOS
- RAZÃO SOCIAL
- NOME FANTASIA
- SITUAÇÃO CNPJ
- TIPO (matriz ou filial)
- PORTE
- DATA ABERTURA
- CNAE
- ATIVIDADE PRINCIPAL
- SIMPLES NACIONAL
- MEI
- CAPITAL SOCIAL
- EMAIL RECEITA (sob contrato)
- TELEFONE RECEITA (sob contrato)
- MUNICÍPIO RECEITA
- UF RECEITA
- ÚLTIMA COLETA
File: avaliacoes.csv
- RESTAURANTE
- CIDADE
- SEGMENTO
- NOTA
- COMENTÁRIO
- CATEGORIAS
- DATA COMENTÁRIO
- DATA PEDIDO
- DATA COLETA
File: cardapio.csv
- CATEGORIA
- ITEM
- DETALHES
- PREÇO
- PREÇO ORIGINAL
- DESCONTO %
- PROMOÇÃO
- COM OPÇÕES
- GRUPOS DE OPÇÕES
- Nº OPÇÕES
- DATA COLETA
History as defined per project (entry and exit by date, menu and review snapshots). Additional indicators and analyses are defined per project and delivered as extra columns or files.
From demo to delivery
Demo
A 30-minute online meeting in which we present live the market cut for a postal code of your team’s choice, with the layers relevant to the project.
Proposal
With objective, area and layers defined, we present coverage, update frequency, delivery format and commercial terms.
Delivery
After signing, the data for the defined cut are delivered as CSV, Excel, API or batch for integration, as set in the proposal.
Continuity
Updates as contracted and support for your team for the term of the agreement.
Public and digital sources, with documented processing
Traceability
Every file carries its collection date, and every column has its source identified in the data dictionary.
Company data
Registry data from the public CNPJ registry of Brazil’s federal tax authority, when the establishment lists its CNPJ on the digital channel.
Privacy
Reviews are delivered without the name, profile or photo of whoever wrote them, with the text as published.
LGPD and documentation
Documented processing, a defined legal basis and a channel for data protection requests.
What teams ask before the demo
See your area in a demo
Tell us your team’s objective and a city, neighborhood or postal code of interest. In the meeting we present the market cut live and align coverage, fields and next steps.
Request a demo