Reclame Aqui Scraper

Scrape Brazilian company reputation data from Reclame Aqui: score, complaints count, response rate, resolution rate, and recent complaints.

Pay per company profile and per individual complaint. Built for B2B brand monitoring, competitor intelligence, customer-service analytics, and due-diligence research.

Features

• Company profile: score (0-10), consumer rating, complaints last 6/12 months and last 30 days, lifetime complaints
• Reputation metrics: response rate, resolution rate, average response time, recommendation rate
• Flags: RA1000 stamp, category
• Recent complaints: title, status, solved/evaluated flags, date, snippet, direct URL (opt-in via maxComplaints)

Input

Field	Type	Description
companies	Array	Full Reclame Aqui company URLs in the format https://www.reclameaqui.com.br/empresa/{slug}/. Search the company on reclameaqui.com.br and copy the URL from the browser.
maxComplaints	Integer	Number of recent complaints to scrape per company. 0 = profile only.
maxItems	Integer	Hard cap on total records (companies + complaints combined). Default 100.

Where to get the URL

1. Go to https://www.reclameaqui.com.br
2. Search the company name
3. Click the company in the results
4. Copy the URL from the address bar — it looks like https://www.reclameaqui.com.br/empresa/magazine-luiza-loja-online/

Names are not accepted as input because Reclame Aqui uses opaque slugs (magazine-luiza-loja-online, itau-unibanco_15, etc.) that cannot be reliably derived from the company name.

Pricing

• $0.015 per company-scraped event (one per company profile)
• $0.015 per complaint-scraped event (one per complaint, only when maxComplaints > 0)

Example: 10 companies + 5 complaints each = 10 × $0.015 + 50 × $0.015 = $0.90

Output

One record per company AND one record per complaint, all in the same dataset (filter by the type field).

Company record

{
  "type": "company",
  "companyName": "Magazine Luiza - Loja Online",
  "slug": "magazine-luiza-loja-online",
  "url": "https://www.reclameaqui.com.br/empresa/magazine-luiza-loja-online/",
  "score": 8.2,
  "consumerScore": 7.01,
  "complaintsLast6Months": 74757,
  "complaintsLast12Months": 127646,
  "complaintsLast30Days": 10912,
  "complaintsTotal": 81338,
  "responseRate": 95.5,
  "resolutionRate": 90.9,
  "recommendationRate": 73.7,
  "avgResponseTime": "11 dias, 1 hora",
  "avgResponseTimeMs": 954184977,
  "hasStamp": true,
  "isRA1000": true,
  "ratingFinal": 7.01,
  "category": "Varejo",
  "legacyId": "29266",
  "urlSite": "http://www.magazineluiza.com.br",
  "scrapedAt": "2026-05-21T23:50:00.000Z"
}

Complaint record

The full complaint text is extracted from each complaint's individual page (not just a preview snippet), along with the company's response when available.

{
  "type": "complaint",
  "companySlug": "magazine-luiza-loja-online",
  "id": "XFg3_dvBNP-5IUWY",
  "title": "Atraso na entrega de notebook e falta de satisfação da Magazine Luiza",
  "status": "PENDING",
  "solved": false,
  "evaluated": false,
  "date": "2026-05-21T20:53:45",
  "text": "Boa noite! Fiz uma compra na magazine Luiza ... [full complaint body, ~1600+ chars]",
  "snippet": "Boa noite! Fiz uma compra na magazine Luiza ... [first 280 chars]",
  "answerCount": 0,
  "upvoteCount": 1,
  "companyAnswer": null,
  "url": "https://www.reclameaqui.com.br/magazine-luiza-loja-online/atraso-na-entrega-de-notebook-e-falta-de-satisfacao-da-magazine-luiza_XFg3_dvBNP-5IUWY/",
  "scrapedAt": "2026-05-21T23:50:00.000Z"
}

• text: full complaint body (no truncation)
• snippet: first 280 characters, useful for previews
• answerCount: how many responses the complaint has received
• upvoteCount: how many users upvoted the complaint
• companyAnswer: extracted from the complaint page when the company has responded (null if no response yet)

Notes

• Some fields can be null when Reclame Aqui doesn't expose them (e.g. companies without reputation data).
• The score (score, finalScore) ranges 0-10 and reflects the last 6 months. consumerScore is the star rating from consumers.

How it works

• CheerioCrawler with realistic browser headers (no browser automation, no proxy required).
• For each company URL: fetch /empresa/{slug}/ and extract data from the Next.js __NEXT_DATA__ SSR state.
• If maxComplaints > 0: also fetch /empresa/{slug}/lista-reclamacoes/ to discover the latest N complaints, then visit each individual complaint page to extract the full text from the Schema.org JSON-LD block.
• Charges company-scraped per company and complaint-scraped per complaint via Actor.charge().