financialfranquiasbrasilabflead-generationfranchising

ABF Ranking Brazilian Franchises and Microfranchises

2025

Free

Open dataset

Sample structure: 100 / 100
1 download links issued
Seller: Yoda B Hunter
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Category
Financial
Records
70 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
1

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Supplier-cited: Brazilian Franchising Association
Collection method
uploaded
Coverage / snapshot
2025
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 5070 of 70 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 3070 of 70 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
tipo_ranking0 / 10string0 / 10
posicao0 / 10number0 / 10
marca0 / 10string0 / 10
segmento0 / 10string0 / 10
operacoes_20250 / 10number0 / 10
operacoes_20240 / 10number0 / 10
variacao_pct0 / 10number0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Structured dataset of Brazil's 50 largest franchises and 20 largest microfranchises ranked by operational units. Includes ranking type, position, brand name, business segment, operation counts for 2025 and 2024, and year-over-year percentage change.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 2e1449d5-f331-4a82-a00e-72cd27da17e7 --output dataset.bin
Full supplier documentation
Original supplier listing: Ranking ABF 2025 - Maiores Franquias e Microfranquias do Brasil (70 redes) Dataset estruturado das 50 maiores franquias e 20 maiores microfranquias do Brasil (ranking oficial ABF 2025 por numero de operacoes). Colunas: tipo_ranking, posicao, marca, segmento, operacoes_2025, operacoes_2024, variacao_pct. Fonte publica ABF. Util para analise de mercado, lead generation de franchising e inteligencia competitiva.

Schema

NameTypeDescription
tipo_rankingstring
posicaostring
marcastring
segmentostring
operacoes_2025string
operacoes_2024string
variacao_pctstring

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "ABF Ranking Brazilian Franchis" })
// Found: 2e1449d5-f331-4a82-a00e-72cd27da17e7
get_download_url({ dataset_id: "2e1449d5-f331-4a82-a00e-72cd27da17e7" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/2e1449d5-f331-4a82-a00e-72cd27da17e7/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"