Şikayetvar New Complaints Monitor
Pricing
from $4.00 / 1,000 complaints
Şikayetvar New Complaints Monitor
Schedule-friendly monitor for new public Şikayetvar brand complaints. Returns only complaints newer than your lookback window for CX alerts and reputation dashboards.
Pricing
from $4.00 / 1,000 complaints
Rating
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Developer
TamgaDev
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
17 hours ago
Last modified
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Schedule-friendly Apify Actor that watches Turkish brands on Şikayetvar and returns only new public complaints inside your lookback window.
Built for CX / reputation teams that want daily or hourly alerts without re-downloading the full history.
Why this Actor
- Incremental by design —
sinceHoursfilters out older complaints so schedules stay cheap - Multi-brand watchlists — Trendyol, Getir, Hepsiburada, banks, telcos, etc.
- Detail enrichment — complaint body, solve status, views, hashtags when available
- PPE pricing — pay per collected complaint
Use the companion bulk scraper hamzakayici/sikayetvar-scraper for deep historical pulls.
Input example
{"brands": ["trendyol", "getir", "hepsiburada"],"sinceHours": 24,"maxComplaints": 50,"maxPagesPerBrand": 3,"proxyConfiguration": { "useApifyProxy": true }}
Output
Each dataset item is one complaint newer than your lookback window, including:
| Field | Description |
|---|---|
brand | Brand slug |
title | Complaint title |
url | Public complaint URL |
date | Complaint date (when parsed) |
isSolved | Resolve status when available |
body | Complaint text |
hashtags | Topic tags |
scrapedAt | ISO timestamp of the scrape |
Pricing
Pay per event:
- complaint — charged for each saved new complaint
- Platform usage is covered by the Actor pricing model configured on Store
Tips for schedules
- Create a task with your brand list and
sinceHours: 24 - Schedule it daily (or every 6–12 hours)
- Push results to Slack / webhook / Google Sheets via Integrations
Legal note
Scrapes public Şikayetvar pages only. Respect site terms and applicable law. Use for legitimate brand monitoring and research.