Data Collection
Budget: €8 – €30 EUR
Brazilian Company Profiles for Commercial Prospecting
If this project is successful, I will order 8 more similar projects.
Same structure, same cost per project.
Cost per project: 38 Euros
1. Project Summary
I need one clean CSV file containing 12 500 company profiles for commercial prospecting.
2. Geographic Requirements
All companies must be located exclusively in Brazil.
Only in the following Brazilian states:
SP - São Paulo
SC - Santa Catarina
PR - Paraná
RS - Rio Grande do Sul
MG - Minas Gerais
RJ - Rio de Janeiro
DF - Distrito Federal
GO - Goias
No companies from other Brazilian states or other countries should be included.
3. Business Sectors and Keywords
The companies must belong to predefined business sectors and also match a list of keywords
The main target sectors (keyword) are:
you can use similar keywords.
Industry -> Indústria
Civil Construction -> Construção Civil
Engineering -> Engenharia
Service Provider -> Prestador de Serviços
Metallurgy -> Metalurgia
Equipment -> Equipamentos
Material Handling-> Movimentação de Materiais
Rental -> Locação
Logistics -> Logística
Clinic -> Clínica
Training / Courses -> Cursos
Publisher -> Editora
Events -> Eventos
Security -> Segurança
Technology -> Tecnologia
Agriculture -> Agricultura
Marketing -> Marketing
Communication -> Comunicação
Commerce / Trade -> Comércio
4. Required Data Fields
Company name (REQUIRED)
Business sector (keyword) (REQUIRED)
Email address (REQUIRED)
OR
WhatsApp number or mobile phone number (REQUIRED)
State (REQUIRED)
City (REQUIRED)
Website if available
Landline phone number, if available
CNPJ (Brazilian company tax ID), if available
Instagram, if available
LinkedIn, if available
The final CSV should use clear column names, for example:
company_name,business_sector,email,website,state,city,whatsapp_or_mobile,landline_phone,cnpj,instagram,linkedin
5. Data Quality Requirements
The data must be:
Unique, with no duplicate companies.
Relevant to the requested sectors and keywords.
Located only in the required Brazilian states.
Delivered in a clean UTF-8 encoded CSV file.
6. Sources in Brazil you can use
Public web data.
Public business directories.
Public registries.
https://cadastroempresa.com.br
https://solutudo.com.br
https://casadosdados.com.br
https://cnpj.biz
https://www.cylex.com.br
https://www.guiafacilbrasil.com.br
LinkedIn public company pages
Instagram public business profiles
Facebook public business pages
If this project is successful, I will order 8 more similar projects.
Same structure, same cost per project.
Cost per project: 38 Euros
1. Project Summary
I need one clean CSV file containing 12 500 company profiles for commercial prospecting.
2. Geographic Requirements
All companies must be located exclusively in Brazil.
Only in the following Brazilian states:
SP - São Paulo
SC - Santa Catarina
PR - Paraná
RS - Rio Grande do Sul
MG - Minas Gerais
RJ - Rio de Janeiro
DF - Distrito Federal
GO - Goias
No companies from other Brazilian states or other countries should be included.
3. Business Sectors and Keywords
The companies must belong to predefined business sectors and also match a list of keywords
The main target sectors (keyword) are:
you can use similar keywords.
Industry -> Indústria
Civil Construction -> Construção Civil
Engineering -> Engenharia
Service Provider -> Prestador de Serviços
Metallurgy -> Metalurgia
Equipment -> Equipamentos
Material Handling-> Movimentação de Materiais
Rental -> Locação
Logistics -> Logística
Clinic -> Clínica
Training / Courses -> Cursos
Publisher -> Editora
Events -> Eventos
Security -> Segurança
Technology -> Tecnologia
Agriculture -> Agricultura
Marketing -> Marketing
Communication -> Comunicação
Commerce / Trade -> Comércio
4. Required Data Fields
Company name (REQUIRED)
Business sector (keyword) (REQUIRED)
Email address (REQUIRED)
OR
WhatsApp number or mobile phone number (REQUIRED)
State (REQUIRED)
City (REQUIRED)
Website if available
Landline phone number, if available
CNPJ (Brazilian company tax ID), if available
Instagram, if available
LinkedIn, if available
The final CSV should use clear column names, for example:
company_name,business_sector,email,website,state,city,whatsapp_or_mobile,landline_phone,cnpj,instagram,linkedin
5. Data Quality Requirements
The data must be:
Unique, with no duplicate companies.
Relevant to the requested sectors and keywords.
Located only in the required Brazilian states.
Delivered in a clean UTF-8 encoded CSV file.
6. Sources in Brazil you can use
Public web data.
Public business directories.
Public registries.
https://cadastroempresa.com.br
https://solutudo.com.br
https://casadosdados.com.br
https://cnpj.biz
https://www.cylex.com.br
https://www.guiafacilbrasil.com.br
LinkedIn public company pages
Instagram public business profiles
Facebook public business pages
Related categories:
Python
Data Processing
Web Scraping
Data Mining
Data Scraping
Data Extraction
LinkedIn Profile