Şikayetvar Scraper — Brand Complaints History ($2/1k)

Şikayetvar Scraper — Brand Complaints ($2/1k)

Pull public brand complaints from Şikayetvar as clean JSON — titles, bodies, dates, solve status, hashtags.

Cheapest dedicated Şikayetvar Actor on Apify Store at $2 / 1,000 complaints (typical alternatives $2.40–$2.50/1k).

TR CX pack (all on Apify — no extra SaaS)

Step	Actor	Role
1	This scraper	Full history / research pull
2	Şikayetvar Monitor	Daily schedule — only new complaints
3	Ekşi Sözlük Scraper	Same brands, public opinion

One-shot scraper alone stays small. Scraper → Monitor schedule is where recurring Apify spend starts.

60-second start

1. Keep prefill brands (sahibinden, marti) or paste your slug from sikayetvar.com/{brand}.
2. Set maxComplaints to 20 for a cheap trial (~$0.04 Actor charge).
3. Leave scrapeDetails: true.
4. Run → download CSV/JSON → Save Monitor as a daily Task for the same brands.

Paying workflow: one history pull with this scraper → schedule sikayetvar-monitor daily (sinceHours: 24) so you only pay for new complaints.

{
  "brands": ["sahibinden", "marti"],
  "maxComplaints": 20,
  "maxPagesPerBrand": 2,
  "scrapeDetails": true,
  "proxyConfiguration": { "useApifyProxy": true }
}

What you get

Field	Why it matters
title + body	Issue themes for CX / NLP
date / isSolved	Trend + resolution tracking
viewCount / hashtags	Severity & topic tags
url	Audit trail back to Şikayetvar

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.

Who buys this

• CX / brand teams watching delivery, refund, product defects
• Agencies building weekly TR reputation decks
• Competitor analysts comparing complaint volume
• Scrapers feeding RAG / alert pipelines

Pricing (PPE)

Run	Results	Actor charge
Trial (20 complaints)	20	~$0.04
1 brand × 50	50	~$0.10
1,000 complaints	1,000	~$2.00

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

Bulk vs monitor

Need	Actor
History / one-shot research	This scraper
Scheduled “only what’s new”	sikayetvar-monitor (sinceHours: 24)
Public opinion on the same brands	Ekşi Sözlük Scraper

Tips

• Slug = URL path (trendyol, migros, vodafone) — not the display name.
• Daily schedule + Monitor Actor = recurring spend without re-scraping old pages.
• Turn off scrapeDetails only when you need titles/URLs at max speed.

Limitations

• Public pages only.
• Markup changes can break parsing; we monitor success rate and patch fast.

Support

Actor page → Issues: brand slug + input JSON + run ID. Target reply: 1 business day.

More from TamgaDev

Same builder — digital kits on Gumroad (outreach, ops, automation recipes):

• Store: https://tamgadev.gumroad.com
• FREE 5 cold email scripts: https://tamgadev.gumroad.com/l/free-dev-cold-email
• Gumroad Automation Blueprints: https://tamgadev.gumroad.com/l/gumroad-blueprints
• Dev Cold Email Pack: https://tamgadev.gumroad.com/l/dev-cold-email

Profile: https://apify.com/tamgadev