Brazil Cnpj Company Lookup
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from $2.99 / 1,000 results
Brazil Cnpj Company Lookup
Brazil CNPJ Company Lookup Scraper is a Python tool designed to extract corporate registration details, tax status, share capital, and partner info using CNPJ numbers. It exports structured business datasets into clean CSV or JSON formats for risk assessment and lead generation.
Pricing
from $2.99 / 1,000 results
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real-estate-api
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1
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6 days ago
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Security
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Brazil CNPJ Company Lookup — Brazilian Company Partner (QSA) Data

Look up Brazilian company partner (QSA) information using 14-digit CNPJs. Provide a list of company identifiers, set a result limit, and collect partner names, roles, age ranges, entry dates, and related company details in a structured dataset.
Overview
Brazil CNPJ Company Lookup collects partner and shareholder information associated with Brazilian company registration numbers (CNPJ).
Enter one or more CNPJs to retrieve available company partner records. Each partner is saved as an individual dataset row, with the parent company's CNPJ included for easy identification.
Features
- CNPJ lookup: Collect partner information using 14-digit Brazilian company identifiers.
- Partner details: Retrieve names, roles, age ranges, and company entry dates when available.
- Duplicate handling: Removes duplicate CNPJs from the input before processing.
- Result limits: Control the maximum number of partner records collected.
- Structured output: Store results in a clean, spreadsheet-friendly format.
- Multiple exports: Export datasets as JSON, CSV, Excel, and other supported formats.
Use Cases
- Lead enrichment: Add company partner names and roles to Brazilian business lists.
- Business research: Review partner qualifications, age ranges, and entry dates.
- Compliance workflows: Support company ownership and partner information reviews during vendor onboarding.
- CRM management: Enrich and update company records with available partner details.
- Data analysis: Compare partner information across multiple Brazilian companies.
Input Parameters
| Parameter | Type | Description |
|---|---|---|
mode | String | Lookup mode. Use cnpj. |
cnpjs | Array | List of 14-digit Brazilian CNPJ numbers. |
maxItems | Integer | Maximum number of partner records to collect. |
requestDelaySecs | Number | Delay between lookups in seconds. |
Example Input
{"mode": "cnpj","cnpjs": ["19131243000197"],"maxItems": 50,"requestDelaySecs": 1}
What Data Does This Actor Extract?
Each dataset row represents one company partner record. Available fields may include:
| Field | Description |
|---|---|
cnpj | Parent company's CNPJ |
nome_socio | Partner or shareholder name |
qualificacao_socio | Partner's role or qualification |
faixa_etaria | Partner's age range |
codigo_faixa_etaria | Age range classification code |
data_entrada_sociedade | Date the partner joined the company |
cnpj_cpf_do_socio | Masked partner identification number, when available |
identificador_de_socio | Partner identification category |
pais | Partner's country |
codigo_pais | Country code |
cpf_representante_legal | Masked legal representative identification number, when available |
nome_representante_legal | Legal representative's name |
qualificacao_representante_legal | Legal representative's qualification |
codigo_qualificacao_socio | Partner qualification code |
codigo_qualificacao_representante_legal | Legal representative qualification code |
scraped_at | Date and time the record was collected |
Some fields may be empty or unavailable depending on the company record.
Example Output
{"pais": null,"nome_socio": "LUIZ CARLOS PINHO GUEDES","codigo_pais": null,"faixa_etaria": "Entre 31 a 40 anos","cnpj_cpf_do_socio": "***682847**","qualificacao_socio": "Diretor","codigo_faixa_etaria": 4,"data_entrada_sociedade": "2026-09-10","identificador_de_socio": 2,"cpf_representante_legal": "***000000**","nome_representante_legal": "","codigo_qualificacao_socio": 10,"qualificacao_representante_legal": "Não informada","codigo_qualificacao_representante_legal": 0,"cnpj": "19131243000197","scraped_at": "2026-10-26T00:00:00+00:00"}
Working with Your Dataset
After the run finishes, open the dataset in Apify Console to review the collected partner records.
You can:
- Export results as JSON, CSV, or Excel.
- Filter records by company CNPJ.
- Sort partners by name, qualification, or entry date.
- Import the data into spreadsheets, CRM systems, or data analysis workflows.
- Combine multiple company lookup results for further research.
FAQ
Who is this actor for?
It is designed for analysts, marketers, researchers, and developers who need Brazilian company partner information in a structured dataset.
What is QSA?
QSA stands for Quadro de Sócios e Administradores. It refers to the partners and administrators associated with a Brazilian company.
What can I export?
You can export JSON, CSV, Excel, and other supported Apify dataset formats.
Can I run it on a schedule?
Yes. You can configure an Apify schedule to run your CNPJ lookups automatically at your preferred intervals.
What happens if some company information is unavailable?
Unavailable fields may be empty or null. The actor can continue processing other submitted CNPJs.
Disclaimer
This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with BrasilAPI or its owners. It collects information made publicly available through the service. Users are responsible for ensuring that their data collection and use comply with applicable laws and relevant terms.
Is Web Scraping Legal?
Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.
This actor collects information from public pages. It does not log in and it does not bypass access controls.
For a longer explanation, see Apify's article Is web scraping legal?.