Şikayetvar Monitor — Daily New Complaints ($2/1k)

This is the recurring-revenue Actor in the TR CX pack. Schedule it daily; it returns only new public complaints from Şikayetvar inside your lookback window — you do not re-pay for old history.

Step	Actor	When
1 — History	Şikayetvar Scraper	Once (or monthly backfill)
2 — Monitor	This Actor	Task + Schedule every day (sinceHours: 24)
3 — Opinion	Ekşi Sözlük Scraper	Same brand slugs, weekly

Same PPE — $2 / 1,000 complaints. Daily multi-brand watch ≈ cents per day, not a SaaS seat.

60-second start

1. Keep prefill brands (sahibinden, marti, trendyol) or paste your slugs.
2. Keep sinceHours: 24 and maxComplaints: 20 for a cheap trial (~$0.04).
3. Run once → Save as Task → Schedule daily.
4. Wire Slack / webhook / Sheets via Integrations.

Paying workflow: one history pull with sikayetvar-scraper → schedule this Monitor daily (sinceHours: 24).

Popular organic watchlists right now: sahibinden, marti, trendyol, hepsiburada, yemeksepeti.

Why this Actor

• Incremental by design — sinceHours filters out older complaints so schedules stay cheap
• Multi-brand watchlists — classifieds, mobility, marketplaces, banks, telcos
• Detail enrichment — complaint body, solve status, views, hashtags when available
• PPE pricing — pay per collected complaint

Input example

{
  "brands": ["sahibinden", "marti", "trendyol"],
  "sinceHours": 24,
  "maxComplaints": 20,
  "maxPagesPerBrand": 2,
  "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

Built-in complaint insights (no extra cost)

Every complaint is tagged automatically, in Turkish, inside the run:

Field	Values	Use it for
topics / primaryTopic	refund, delivery, defective_product, wrong_or_missing_item, billing, cancellation, customer_service, warranty_service, account_app, pricing_campaign, network_coverage, food_quality, fraud_security	Root-cause dashboards without NLP work
urgency	low / medium / high	Escalate the complaints that can go viral or legal first
mentionsLegalAction	true / false	Mentions of tüketici hakem heyeti, avukat, dava, BTK, CİMER
mentionsFraud	true / false	Unauthorized charges, fake products, hacked accounts
mentionedAmountTry	e.g. 4032.4	Money at stake per complaint

BRAND_REPORT (key-value store) gives one row per brand: complaint count, solved rate %, high-urgency share %, legal mentions, average views, average amount, top 5 topics and top 10 hashtags. Run two or more brands to get a ready competitor comparison.

Pricing (PPE)

Run	Results	Actor charge
Trial (20 new)	20	~$0.04
Daily multi-brand (~50 new)	50	~$0.10
1,000 new complaints	1,000	~$2.00

• Event: complaint @ $0.002 each
• Apify proxy/compute billed separately

Tips for schedules

1. Create a task with your brand list and sinceHours: 24
2. Schedule it daily (or every 6–12 hours)
3. Push results to Slack / webhook / Google Sheets via Integrations
4. Need full history first? Run sikayetvar-scraper once, then switch to this Monitor.
5. Add Ekşi Sözlük Scraper on the same brands for public sentiment alongside complaints.

Legal note

Scrapes public Şikayetvar pages only. Respect site terms and applicable law. Use for legitimate brand monitoring and research.

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