# Reclame Aqui Scraper - Company Reputation & Complaints (`kalilfagundes.w/reclame-aqui-scraper`) Actor

\[Limited Launch Offer $20/1K] Scrape Reclame Aqui, Brazil's consumer complaints site: company reputation (score, RA1000, % answered, % solved, answer time) and complaints with text, status, city, category. Reclamações e reputação. No personal data.

- **URL**: https://apify.com/kalilfagundes.w/reclame-aqui-scraper.md
- **Developed by:** [Scrape With Me](https://apify.com/kalilfagundes.w) (community)
- **Categories:** Business, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $17.00 / 1,000 complaints

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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

```json
{
  "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:

```json
{
  "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:

```json
{
  "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`):

```python
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)
```

```javascript
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.

### Related actors

- [Zap Imóveis, VivaReal & QuintoAndar Scraper - Imóveis Brasil](https://apify.com/kalilfagundes.w/imoveis-brasil-scraper)
- [Amazon Price Tracker & Product Scraper - ASIN, BSR, 23 Sites](https://apify.com/kalilfagundes.w/amazon-product-scraper)
- [Indeed & LinkedIn Jobs Scraper - Glassdoor, Naukri, Bayt](https://apify.com/kalilfagundes.w/job-boards-scraper)

### 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.

# Actor input Schema

## `companies` (type: `array`):

Nome ("Nubank"), shortname do Reclame Aqui ("magazine-luiza-loja-online") ou URL reclameaqui.com.br/empresa/... - um por linha.

## `maxComplaintsPerCompany` (type: `integer`):

Most recent first. 0 = only the company reputation row.

## `status` (type: `string`):

Filter complaints by status.

## `fullText` (type: `boolean`):

Open each complaint page for the full complaint text (the list has ~150 characters). One extra request per complaint.

## `includeCompanyProfile` (type: `boolean`):

One row per company: score, reputation label (RA1000...), % answered, % solved, would-buy-again %, average answer time, for 6 and 12 months and more.

## `maxItems` (type: `integer`):

Stop after this many rows in total. 0 = no limit.

## `proxyConfiguration` (type: `object`):

Reclame Aqui refuses datacenter IPs: keep the residential proxy with a Brazil exit (default). A new IP is used on every retry.

## Actor input object example

```json
{
  "companies": [
    "Nubank"
  ],
  "maxComplaintsPerCompany": 10,
  "status": "all",
  "fullText": false,
  "includeCompanyProfile": true,
  "maxItems": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "BR"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

OUTPUT record: resolved company, complaints on the site, fetched / saved, errors.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "Nubank"
    ],
    "maxComplaintsPerCompany": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "BR"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("kalilfagundes.w/reclame-aqui-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companies": ["Nubank"],
    "maxComplaintsPerCompany": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "BR",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("kalilfagundes.w/reclame-aqui-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "Nubank"
  ],
  "maxComplaintsPerCompany": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "BR"
  }
}' |
apify call kalilfagundes.w/reclame-aqui-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kalilfagundes.w/reclame-aqui-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KJH2qgviXvIo6Z2oz/builds/anjIbvpvyaRGwT1a8/openapi.json