# Şikayetvar Scraper — Brand Complaints & Reputation Monitor (`tamgadev/sikayetvar-scraper`) Actor

Scrape public brand complaints from Şikayetvar.com for reputation monitoring, competitive intelligence, and customer-issue research in Turkey.

- **URL**: https://apify.com/tamgadev/sikayetvar-scraper.md
- **Developed by:** [TamgaDev](https://apify.com/tamgadev) (community)
- **Categories:** AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 complaints

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Şikayetvar Scraper — Brand Complaints & Reputation Monitor

Extract public brand complaints from [Şikayetvar](https://www.sikayetvar.com) 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

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

#### Example output

```json
{
  "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

# Actor input Schema

## `brands` (type: `array`):

Şikayetvar brand slugs or brand page URLs (e.g. trendyol, getir, hepsiburada).

## `startUrls` (type: `array`):

Optional brand or complaint page URLs. Brand pages are used as list starts.

## `maxComplaints` (type: `integer`):

Maximum number of complaints to collect across all brands.

## `maxPagesPerBrand` (type: `integer`):

How many listing pages to crawl for each brand.

## `scrapeDetails` (type: `boolean`):

Open each complaint page for full body text, IDs, view counts, and solve status. Recommended.

## `proxyConfiguration` (type: `object`):

Use Apify Proxy for stable production runs.

## Actor input object example

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

# Actor output Schema

## `complaints` (type: `string`):

Scraped complaint records

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "brands": [
        "trendyol",
        "getir"
    ],
    "maxComplaints": 50,
    "maxPagesPerBrand": 3,
    "scrapeDetails": true,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("tamgadev/sikayetvar-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "brands": [
        "trendyol",
        "getir",
    ],
    "maxComplaints": 50,
    "maxPagesPerBrand": 3,
    "scrapeDetails": True,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("tamgadev/sikayetvar-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "brands": [
    "trendyol",
    "getir"
  ],
  "maxComplaints": 50,
  "maxPagesPerBrand": 3,
  "scrapeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call tamgadev/sikayetvar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tamgadev/sikayetvar-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RfNLBQU0JUXqBiPmF/builds/WdTkcneBGDdWyGekU/openapi.json