# Şikayetvar New Complaints Monitor (`tamgadev/sikayetvar-monitor`) Actor

Schedule-friendly monitor for new public Şikayetvar brand complaints. Returns only complaints newer than your lookback window for CX alerts and reputation dashboards.

- **URL**: https://apify.com/tamgadev/sikayetvar-monitor.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 New Complaints Monitor

Schedule-friendly Apify Actor that watches Turkish brands on [Şikayetvar](https://www.sikayetvar.com) 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** — `sinceHours` filters 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`](https://apify.com/hamzakayici/sikayetvar-scraper) for deep historical pulls.

### Input example

```json
{
  "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

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

### Legal note

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

# Actor input Schema

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

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

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

Optional brand page URLs used as list starts.

## `sinceHours` (type: `integer`):

Only keep complaints newer than this many hours. Ideal for hourly/daily schedules (e.g. 24 or 48).

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

Safety cap for how many new complaints to collect across all brands.

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

How many listing pages to scan per brand before stopping.

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

Use Apify Proxy for stable scheduled runs.

## Actor input object example

```json
{
  "brands": [
    "trendyol",
    "getir",
    "hepsiburada"
  ],
  "sinceHours": 24,
  "maxComplaints": 50,
  "maxPagesPerBrand": 3,
  "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",
        "hepsiburada"
    ],
    "sinceHours": 24,
    "maxComplaints": 50,
    "maxPagesPerBrand": 3,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("tamgadev/sikayetvar-monitor").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",
        "hepsiburada",
    ],
    "sinceHours": 24,
    "maxComplaints": 50,
    "maxPagesPerBrand": 3,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("tamgadev/sikayetvar-monitor").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",
    "hepsiburada"
  ],
  "sinceHours": 24,
  "maxComplaints": 50,
  "maxPagesPerBrand": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call tamgadev/sikayetvar-monitor --silent --output-dataset

```

## MCP server setup

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

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/cEVhg0pEgIFvxJRox/builds/jNQXYI9cDr7M15Z4K/openapi.json