Şikayetvar Scraper — Brand Complaints & Reputation Monitor

Extract public brand complaints from Şikayetvar for reputation monitoring, competitive research, and customer-issue analysis in Turkey.

Built for marketers, CX teams, agencies, and founders who need structured complaint data without manual browsing.

What you get

For each complaint:

• Brand slug + brand URL
• Complaint title + full URL
• Author name / profile URL (when public)
• Publish date label + ISO date (from detail pages)
• Snippet or full complaint body
• View / upvote / comment counts
• Solved status + resolve status code
• Hashtags
• Scrape timestamp

Who is this for

• Brand and CX teams tracking recurring product or delivery issues
• Agencies running reputation reports for Turkish clients
• Competitor analysts comparing complaint volume and themes
• Founders validating market pain points before building a product
• AI / RAG pipelines that need fresh Turkish consumer complaint text

How to use

1. Enter one or more brand slugs (trendyol, getir, hepsiburada) or brand page URLs.
2. Set maxComplaints (start with 50).
3. Keep scrapeDetails enabled for full body text and IDs.
4. Run. Export JSON / CSV / Excel from the dataset.

Example input

{
  "brands": ["trendyol", "getir"],
  "maxComplaints": 50,
  "maxPagesPerBrand": 3,
  "scrapeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Example output

{
  "brand": "trendyol",
  "brandUrl": "https://www.sikayetvar.com/trendyol",
  "title": "Turbo Başlığı Çalışmıyor, 24 Gün Süreli İade İşlemi Mağduriyet Yarattı",
  "url": "https://www.sikayetvar.com/trendyol/turbo-basligi-calismiyor-24-gun-sureli-iade-islemi-magduriyet-yaratti",
  "authorName": "Hülya",
  "date": "2026-09-14",
  "viewCount": 2,
  "isSolved": false,
  "hashtags": ["yapamıyorum", "ürün", "çalışmıyor"],
  "body": "Ürünü anneme hediye olarak aldım...",
  "source": "detail",
  "scrapedAt": "2026-09-14T21:10:00.000Z"
}

Pricing (PPE)

This Actor is designed for pay-per-event pricing.

• Event: complaint — charged once per delivered complaint record
• Recommended Store price: $4.00 / 1,000 complaints (adjust after cost calibration)
• Platform usage can be included or billed separately depending on your monetization settings

Typical cost for users: a few cents for a 50-complaint brand scan.

Tips for better results

• Use exact brand slugs from Şikayetvar URLs (/trendyol, /migros, /vodafone).
• Increase maxPagesPerBrand for historical digs; keep it low for daily monitoring.
• Schedule daily/weekly runs in Apify to build a complaint time series.
• Turn off scrapeDetails only when you need titles/URLs at maximum speed.

Output fields

Field	Description
brand	Brand slug
title	Complaint title
url	Absolute complaint URL
body	Full text when details are enabled
date	Complaint date (YYYY-MM-DD) when available
isSolved	Whether Şikayetvar marks the complaint as solved
viewCount	Public view count
hashtags	Topic tags attached to the complaint

Limitations

• Only public pages are scraped.
• Site layout changes can temporarily affect parsing; success rate is monitored and fixed quickly.
• Very large historical exports may require higher memory and multiple runs.

Support

Open an issue on the Actor page with the brand slug, input JSON, and run ID. Average response target: under one business day.

Roadmap

• Brand search → auto slug resolution
• Category / hashtag filters
• Daily new-complaint mode
• Sentiment + topic clustering helper Actor