📊 Reclame Aqui Scraper Pro

Extract complaint data from Reclame Aqui automatically, reliably, and in a structured format.

This Actor is designed for companies, data analysts, Customer Success teams, and Market Intelligence professionals who need to monitor public complaints at scale.

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🚀 Features

• ✅ Detailed extraction of each complaint
• ✅ Automatic navigation through complaint listing pages
• ✅ Visits every complaint individually to collect complete information
• ✅ Date filtering to reduce processing time
• ✅ Built with Playwright
• ✅ Optimized for headless execution
• ✅ Robust error handling and page loading strategy
• ✅ Automatic export to the Apify Dataset

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⚙️ How It Works

The Actor performs the following steps:

1. Opens the company's page on Reclame Aqui.
2. Automatically navigates through all complaint pages.
3. Opens each complaint individually.
4. Extracts all available information.
5. Stops automatically when complaints older than the specified date are found.
6. Stores every record in the Apify Dataset.

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📥 Input

Schema

Field	Type	Required	Description
empresa	String	Yes	Company slug used in the Reclame Aqui URL
data_limite	String	Yes	Minimum complaint date to collect (format: DD/MM/YYYY)

How to Find the empresa Value

The empresa field corresponds to the company slug used in the Reclame Aqui URL after /empresa/.

For example, if the company page is:

https://www.reclameaqui.com.br/empresa/gold-spell-cosmeticos/

The slug is:

gold-spell-cosmeticos

Use it as the input:

{
  "empresa": "gold-spell-cosmeticos",
  "data_limite": "01/06/2026"
}

Another Example

Example

{
  "empresa": "ifood",
  "data_limite": "01/06/2026"
}

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📤 Output

Each Dataset item follows the structure below:

{
  "id_reclamacao": "252762893",
  "empresa": "iFood",
  "cidade": "São Paulo - SP",
  "data": "01/07/2026 às 00:30",
  "texto_principal": "Mesmo recebendo email e estando tudo em ordem não consigo de maneira alguma acessar o gestor ou trabalhar, não aparece nem se quer a opção de chamado, e tenho diversos emails enviados porém nenhum respondido.",
  "status_resultado": "Resolvido",
  "voltaria_a_fazer_negocio": "Sim",
  "nota_atendimento": "10",
  "link": "https://www.reclameaqui.com.br/ifood/ativacao-da-loja-que-nao-ativa_EsFxEtXxA4ax1SvW/"
}

---

📋 Example Output

[
  {
    "id_reclamacao": "252762893",
    "empresa": "iFood",
    "cidade": "São Paulo - SP",
    "data": "01/07/2026 às 00:30",
    "texto_principal": "Mesmo recebendo email e estando tudo em ordem não consigo de maneira alguma acessar o gestor ou trabalhar, não aparece nem se quer a opção de chamado, e tenho diversos emails enviados porém nenhum respondido.",
    "status_resultado": "Resolvido",
    "voltaria_a_fazer_negocio": "Sim",
    "nota_atendimento": "10",
    "link": "https://www.reclameaqui.com.br/ifood/ativacao-da-loja-que-nao-ativa_EsFxEtXxA4ax1SvW/"
  },
  {
    "id_reclamacao": "252718107",
    "empresa": "iFood",
    "cidade": "Juiz de Fora - MG",
    "data": "30/06/2026 às 15:50",
    "texto_principal": "Tive o pedido cancelado e não recebi o reembolso.",
    "status_resultado": "Resolvido",
    "voltaria_a_fazer_negocio": "Sim",
    "nota_atendimento": "10",
    "link": "https://www.reclameaqui.com.br/ifood/nao-recebi-o-reembolso_okEilDj0vcb7Gjzb/"
  },
  {
    "id_reclamacao": "252713849",
    "empresa": "iFood",
    "cidade": "Manaus - AM",
    "data": "30/06/2026 às 15:17",
    "texto_principal": "Delivery time kept increasing and the order could not be canceled despite the delay.",
    "status_resultado": "Não resolvido",
    "voltaria_a_fazer_negocio": "Não",
    "nota_atendimento": "0",
    "link": "https://www.reclameaqui.com.br/ifood/ifood-com-pessimo-atendimento-para-os-produtos-canarinhos-ifood_kYJ2WqYCI4r3Wg7d/"
  },
  {
    "id_reclamacao": "252711659",
    "empresa": "iFood",
    "cidade": "Uberlândia - MG",
    "data": "30/06/2026 às 15:00",
    "texto_principal": "Order canceled after an address mistake and refund denied.",
    "status_resultado": "Resolvido",
    "voltaria_a_fazer_negocio": "Sim",
    "nota_atendimento": "7",
    "link": "https://www.reclameaqui.com.br/ifood/perda-de-pedido-e-reembolso-negado-apos-erro-no-endereco-e-recusa-de-motoboy-em-ajustar-rota_Cb8R-wotWLMUXQQW/"
  },
  {
    "id_reclamacao": "252709651",
    "empresa": "iFood",
    "cidade": "Pelotas - RS",
    "data": "30/06/2026 às 14:45",
    "texto_principal": "Wrong products delivered and customer support refused the refund request.",
    "status_resultado": "Resolvido",
    "voltaria_a_fazer_negocio": "Sim",
    "nota_atendimento": "8",
    "link": "https://www.reclameaqui.com.br/ifood/recebi-produtos-errados-e-o-chat-do-ifood-nao-resolveu-o-meu-problema__d3qCxpQ0uB22JqE/"
  }
]

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📈 Use Cases

📊 Brand Monitoring

Track complaints about your company in near real time.

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🏆 Competitor Monitoring

Analyze competitors to understand:

• Common customer complaints
• Service quality
• Customer satisfaction
• Market trends

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🤖 AI & Sentiment Analysis

Use the extracted data for:

• Large Language Models (LLMs)
• NLP pipelines
• Embeddings
• Sentiment analysis
• Text classification

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📈 Business Intelligence

Export and connect directly to:

• Power BI
• Looker Studio
• Tableau
• Excel
• Python
• Pandas

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📞 Customer Success

Quickly identify:

• Recurring issues
• Support bottlenecks
• Customer pain points
• Product improvement opportunities

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💡 Tips

Proxy Configuration

For large-scale scraping, it is recommended to configure Apify Proxy with IP rotation to improve reliability and minimize blocking.

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Dataset

All extracted records are automatically stored in the Actor's Dataset.

Results can be exported as:

• JSON
• CSV
• Excel
• XML

or accessed directly through the Apify API.

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⚡ Performance

This Actor is optimized for speed and reliability.

Highlights:

• Playwright Headless
• Smart waiting strategy
• Automatic retry handling
• Robust navigation
• Automatic pagination
• Stops automatically when reaching the specified date
• Low resource consumption

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📦 Built With

• Python
• Playwright
• Apify SDK
• Crawlee
• AsyncIO

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✅ Ideal For

• Companies
• Customer Success Teams
• Marketing Teams
• Growth Teams
• Business Intelligence
• Data Analytics
• Market Research
• Brand Monitoring
• Competitive Intelligence
• Data Scientists
• AI Applications