Reclame Aqui Scraper — Company Reputation API

Get the reputation of any Brazilian company on Reclame Aqui (reclameaqui.com.br) in a clean, structured format: RA score, RA1000 status, number of complaints, response rate, solved rate, "would do business again" rate, average response time, 5 time periods of history and the most complained-about problems, categories and products.

Built for competitor benchmarking, vendor due diligence, market research, lead qualification and customer-experience dashboards.

What you get for each company

Field	Example
name, cnpj, website, mainSegment	Nubank · 18236120000158 · Bancos e Financeiras
reputationStatus	Reclame Aqui's reputation label, e.g. RA1000, GREAT, GOOD, REGULAR, NOT_RECOMMENDED, SUSPENDED
reputationScore, consumerScore	8.7 · 7.72
complaints, answered, notAnswered	56,987 · 56,963 · 8
responseRatePct, solvedRatePct, dealAgainRatePct	100.0 · 93.2 · 81.1
avgResponseTimeHours	98.1
reputationByPeriod	Last 6 months, last 12 months, last year, the year before, last 3 years
topProblems, topCategories, topProducts	"Cobrança indevida" — 62,429 complaints (17.97%)
customerServicePhones, socialNetworks, city, state	Official company contact channels

Example output (shortened)

{
  "found": true,
  "name": "Nubank",
  "cnpj": "18236120000158",
  "reputationStatus": "RA1000",
  "reputationScore": 8.7,
  "complaints": 56987,
  "responseRatePct": 100,
  "solvedRatePct": 93.2,
  "dealAgainRatePct": 81.1,
  "avgResponseTimeHours": 98.1,
  "reputationByPeriod": [
    { "period": "SIX_MONTHS", "reputationScore": 8.7, "complaints": 56987, "solvedRatePct": 93.2 },
    { "period": "TWELVE_MONTHS", "reputationScore": 8.7, "complaints": 115290, "solvedRatePct": 92.4 }
  ],
  "topProblems": [
    { "name": "Cobrança indevida", "complaints": 62429, "sharePct": 17.97 }
  ]
}

Real example: benchmarking Brazilian banks and marketplaces

Output from one run in September 2026 (last 6 months period). It took about 20 seconds.

Company	Status	RA score	Complaints	Solved %	Avg. response (h)
Nubank	RA1000	8.7	56,987	93.2	98
PicPay	RA1000	8.6	16,981	90.6	182
Banco Itaú	GREAT	8.1	19,160	85.1	160
Mercado Pago	GREAT	8.0	54,217	80.4	267
Banco do Brasil	GOOD	7.5	26,625	74.9	219
C6 Bank	GOOD	7.2	19,859	77.2	288
Banco Bradesco	GOOD	7.0	31,731	69.4	194
Banco Santander	BAD	5.7	33,290	52.0	170
Magazine Luiza	RA1000	8.2	56,890	90.7	301
Amazon	GREAT	8.1	124,798	86.3	487
Mercado Livre	GOOD	7.8	194,481	78.5	264
Shopee	REGULAR	6.8	137,658	67.1	460

Use cases

• Competitor benchmarking: compare your company against your sector every week.
• Vendor and partner due diligence: check reputation before signing with a supplier, bank or marketplace.
• Lead qualification and sales intelligence: prioritize prospects with bad customer service (they need help) or great reputation (they are good partners).
• Market research and journalism: rank a whole sector by complaints, solved rate or response time.
• Reputation monitoring dashboards: schedule daily runs and send results to Google Sheets, Looker Studio, Power BI or your database.

New: whole-category rankings

Don't know the company names? Add a segment and get the 10 best and 10 worst ranked companies of that category, each with full metrics plus its segmentRankings position.

Example: bancos-e-financeiras/bancos-tradicionais-e-digitais, taken from reclameaqui.com.br/segmentos/bancos-e-financeiras/bancos-tradicionais-e-digitais/. Reading rankings is free; you pay only for the companies returned.

How to use

1. Add companies as they appear in their Reclame Aqui URL, after /empresa/. For https://www.reclameaqui.com.br/empresa/nubank/ use nubank. Full URLs work too. You can also add segments, or combine both.
2. Run. Each company is one row in the dataset (table view included), ready to export to Excel, CSV, JSON or Google Sheets.
3. Schedule it daily or weekly to track reputation over time or monitor competitors.

Use it from your code (API)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ing-karlen/reclame-aqui-company-reputation").call(
    run_input={"companies": ["nubank", "itau", "mercado-livre"]}
)
for company in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(company["name"], company["reputationScore"], company["solvedRatePct"])

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('ing-karlen/reclame-aqui-company-reputation').call({ companies: ['nubank', 'itau'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

It also works from Make, Zapier, n8n, Google Sheets and AI agents via the Apify MCP server.

Pricing

You pay only for companies successfully returned. Companies that don't exist or fail are reported in the dataset with found: false and are not charged. Set a maximum cost per run in the run options; the Actor stops cleanly when it is reached.

Responsible data use

This Actor reads only public company-level metrics from company pages. It does not collect complaint texts, consumer names or any personal data. It also does not use pages that the site's robots.txt disallows, such as search, and it runs at a polite request rate. You are responsible for using the data in line with Reclame Aqui's terms and applicable law (LGPD).

FAQ

The company returns "not found". The name must match the URL exactly. Open the company page on Reclame Aqui and copy the part after /empresa/.

Can I get the complaints themselves? No. This Actor is intentionally limited to company-level metrics.

Found a problem or need a field? Open an issue on the Actor page. Issues are answered within 24 hours.

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Em português

Scraper do Reclame Aqui para consultar a reputação de empresas via API: nota RA, selo RA1000, número de reclamações, índices de resposta, solução e "voltaria a fazer negócio", tempo médio de resposta, 5 períodos (6 meses, 12 meses, ano anterior e mais) e os principais problemas, categorias e produtos reclamados.

• Para que serve: comparar concorrentes, avaliar fornecedores e parceiros, qualificar leads, pesquisa de mercado e painéis de monitoramento de reputação.
• Como usar: informe o nome da empresa como aparece na URL do Reclame Aqui (por exemplo, nubank em reclameaqui.com.br/empresa/nubank/). O resultado sai em Excel, CSV, JSON ou Google Sheets.
• Preço: US$0,01 por empresa encontrada. Empresas não encontradas não são cobradas.
• Privacidade: somente dados públicos da empresa, nenhum dado pessoal de consumidores (LGPD).