Reclame Aqui Scraper - Reputação e Reclamações

PT: Extraia do Reclame Aqui a reputação de empresas (nota, selo RA1000 / Ótimo / Bom..., % respondidas, % resolvidas, % voltariam a fazer negócio, tempo médio de resposta, por 6 meses, 12 meses e mais) e as reclamações (título, texto completo, data, status, resolvida, cidade/UF, categoria, problema e link). Filtros por status.

EN: Scrape Reclame Aqui, Brazil's largest consumer-complaint site: company reputation (score, RA1000 label, % answered, % solved, would-buy-again %, average answer time for 6 months, 12 months and more) and complaints (title, full text, date, status, solved, city/state, category, problem, link). Status filters. No login.

Privacidade / Privacy: only what Reclame Aqui shows publicly is returned. Complainants' e-mails, phones, IPs, addresses and names are never collected into the dataset.

Exemplo de entrada / Input example

{
  "companies": ["Nubank", "https://www.reclameaqui.com.br/empresa/mercado-livre/", "magazine-luiza-loja-online"],
  "maxComplaintsPerCompany": 100,
  "status": "not_answered",
  "fullText": true
}

Exemplo de saída / Output examples

Company row:

{
  "type": "company",
  "name": "Nubank",
  "shortname": "nubank",
  "cnpj": "18236120000158",
  "reputation": "RA1000",
  "score": 8.7,
  "answeredPct": 99.3,
  "solvedPct": 92.3,
  "dealAgainPct": 80.6,
  "complaints6Months": 56671,
  "complaintsLast30Days": 9156,
  "periods": { "SIX_MONTHS": { "score": 8.7, "solvedPct": 92.3 }, "TWELVE_MONTHS": { "score": 8.6, "solvedPct": 92.0 } },
  "reclameAquiUrl": "https://www.reclameaqui.com.br/empresa/nubank/"
}

Complaint row:

{
  "type": "complaint",
  "companyName": "Nubank",
  "title": "Meu empréstimo pessoal no Nubank tem juros abusivos e negaram negociação",
  "text": "Fiz um empréstimo pessoal pelo banco nubank, o banco está com juros abusivo...",
  "fullText": "Fiz um empréstimo pessoal pelo banco nubank, o banco está com juros abusivo, entrei em contato com o suporte...",
  "created": "2026-10-04T16:50:16",
  "status": "PENDING",
  "solved": false,
  "city": "Rio Branco",
  "state": "AC",
  "category": "Atraso na entrega",
  "problem": "Valor abusivo",
  "url": "https://www.reclameaqui.com.br/nubank/meu-emprestimo-pessoal-no-nubank-..._lMRckO9iLhqP19Op/"
}

Run it on a schedule: monitor company reputation and complaints

PT: agende o actor para acompanhar a reputação e as reclamações das empresas que você segue (concorrentes, fornecedores, bancos, lojas).

Schedule: in Apify Console open Schedules → Create, pick this actor and your input, and set it to run every Monday at 07:00 (America/Sao_Paulo) for a weekly snapshot of each company's score, % solved and latest complaints. Each run returns the full, current result set as a new dataset.

Integrations (Actor → Integrations tab, no code):

• Google Sheets — append every run's rows to a sheet.
• Make, Zapier, n8n — start the actor from a scenario/zap/workflow and use the rows in the next steps.
• Webhook — get a POST to your endpoint when a run succeeds, then download the dataset.
• Slack / email — notify your team when a scheduled run finishes.

AI agents (MCP) — Claude, ChatGPT, Cursor, VS Code or any MCP client can run it as a tool: add the Apify MCP server https://mcp.apify.com?actors=kalilfagundes.w/reclame-aqui-scraper (sign in with your Apify account) and ask for the data in plain language. The agent fills the input from the input schema and reads the dataset back.

API — call it from your code (pip install apify-client / npm i apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kalilfagundes.w/reclame-aqui-scraper").call(run_input={
    "companies": [
        "Nubank",
        "https://www.reclameaqui.com.br/empresa/mercado-livre/"
    ],
    "maxComplaintsPerCompany": 5,
    "fullText": True
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kalilfagundes.w/reclame-aqui-scraper').call({
  "companies": [
    "Nubank",
    "https://www.reclameaqui.com.br/empresa/mercado-livre/"
  ],
  "maxComplaintsPerCompany": 5,
  "fullText": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Preço / Pricing

Pay per event, platform usage included: company per company row and complaint per complaint row (see the Pricing tab).

Limitações / Limitations

• Complaints come newest first; fullText opens each complaint page (slower).
• Reclame Aqui may rate-limit very deep pagination; the run retries on a fresh IP and reports what was saved.

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Feedback

PT: Se este actor te poupa tempo, uma avaliação rápida na página da Store ajuda outras pessoas a encontrá-lo. Algo não funcionou? Abra um chamado na aba Issues.

EN: If this actor saves you time, a quick rating on its Store page helps other people find it. Something not working? Open an issue in the Issues tab.