Newly Opened Brazilian Companies — by CNAE & State avatar

Newly Opened Brazilian Companies — by CNAE & State

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Pay per usage

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Newly Opened Brazilian Companies — by CNAE & State

Newly Opened Brazilian Companies — by CNAE & State

Find Brazilian companies opened recently, filtered by CNAE activity, state, city and size — straight from the official Receita Federal registry index. The hottest B2B lead: a brand-new company buying its first accountant, bank, software and marketing. Empresas abertas recentemente por CNAE e estado.

Pricing

Pay per usage

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Gangary

Gangary

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3 days ago

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Find Brazilian companies opened recently, filtered by economic activity (CNAE), state, city and size — straight from the official Receita Federal registry index. A brand-new company is the hottest B2B lead there is: it's about to buy its first accountant, bank account, software, insurance and marketing. No scraping, no login, no API key.

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Em português: empresas abertas recentemente por CNAE e estado, empresas novas por segmento, lista de empresas recém-abertas da Receita Federal.

Input example

Micro companies in accounting (CNAE 69) opened in São Paulo in the last 60 days:

{
"cnae": "69",
"ufs": ["SP"],
"dias": 60,
"porte": "micro"
}
  • cnae accepts a full code (6920-6/01), digits only (6920601) or a prefix (69 = all accounting/legal, 86 = all healthcare).
  • dias = opened in the last N days (relative window). desde (YYYY-MM-DD) = opened on/after an explicit date and takes priority over dias.
  • municipio, porte, offset + limit work exactly like the CNPJ Discovery.

Output example

{
"cnpj": "12345678000195",
"cnpj_formatado": "12.345.678/0001-95",
"razao_social": "NOVA CONTABILIDADE EXEMPLO LTDA",
"nome_fantasia": "Exemplo Contabil",
"cnae_principal": "6920601",
"cnae_formatado": "6920-6/01",
"municipio": "SAO PAULO",
"uf": "SP",
"porte": "MICRO EMPRESA",
"data_abertura": "2026-06-30",
"tem_email": true,
"tem_telefone": true
}

Every row is guaranteed to have data_abertura on or after your cutoff — that's the whole point.

Output fields

FieldDescription
data_aberturaOpening date (YYYY-MM-DD) — always ≥ your cutoff.
cnpj / cnpj_formatadoTax ID, digits-only and formatted.
razao_social / nome_fantasiaLegal and trade name from the registry.
cnae_principalPrimary economic activity code.
municipio / uf / porteCity, state, declared size.
tem_email / tem_telefoneWhether the registry has contact on file — pair with CNPJ Lookup to pull it.

Use cases

  • Accountants & bookkeepers — every new MEI/micro company in your city needs a contador this month
  • Banks, fintechs, insurers — reach a company while it's choosing its first providers
  • Agencies & SaaS — a new business is the most open it will ever be to a new tool or a first campaign
  • Franchise & B2B sales — territory lists of fresh companies by activity and size

Pricing (Pay per event)

EventWhenPrice
actor-startonce per run$0.005
company-foundper company returned$0.003

A list of 300 fresh companies costs $0.005 + 300 × $0.003 = $0.905. Runs that find nothing only pay the start fee. New Apify accounts get free monthly credit.

Where the data comes from

The official CNPJ open dataset published by Receita Federal, rebuilt into a fast index every month. Only active companies are included.

Is this compliant?

Yes — the CNPJ registry is public open data published by Receita Federal for public consultation. No scraping, no logins, no private data.

Limitations

  • The index is a monthly snapshot. "Recently opened" is bounded by the last rebuild — a company opened this week appears after the next monthly update, not the day it registers. If you ask for a cutoff newer than the current base, the run warns you.
  • A CNAE is required (the index is partitioned by activity + state). To list new companies across every activity, run a couple of broad prefixes (09) — a v2 will make CNAE optional.
  • Filters use the primary CNAE only.

From the same maker

Full pipeline: find fresh companies here → Lookup pulls the contacts → Enricher scores who's worth calling first.