# Gutscheinsammler Coupons Voucher German Shops (DACH) (`truenorth/gutscheinsammler-shop-search`) Actor

Search for Coupons and Vouchers for DACH Online Shops. Use Gutscheinsammler shops and export voucher counts, shop URLs, logos, and rankings as clean datasets.

- **URL**: https://apify.com/truenorth/gutscheinsammler-shop-search.md
- **Developed by:** [TrueNorth](https://apify.com/truenorth) (community)
- **Categories:** E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 results

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/platform/actors/running/actors-in-store#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

## Gutscheinsammler Shop Search Scraper

Find and export shop search results from Gutscheinsammler in seconds. This Actor turns Gutscheinsammler search queries into clean structured records with shop names, voucher counts, result positions, shop URLs, and logo URLs — ready for CSV, JSON, Excel, APIs, dashboards, and market research workflows.

Use it when you need a reliable way to map German coupon-portal shop coverage, monitor which shops appear for a keyword, or build lightweight datasets for coupon affiliate research without manually searching the website.

### Key Features

- Search Gutscheinsammler shops by keyword.
- Automatic pagination through the public search API.
- Configurable `maxItems` and API page size.
- Clean shop-level output: IDs, names, URLs, logos, voucher counts, search terms, positions, timestamps.
- Relative URLs are normalized into absolute `https://www.gutscheinsammler.de` URLs.
- Retry, timeout, and backoff handling for transient 429/5xx/network failures.
- Optional Apify Proxy configuration.
- CSV/JSON/Excel-ready Apify dataset output.

### How it Works

1. Enter a shop/search keyword such as `amazon`, `otto`, or `zalando`, then choose result limits.
2. Run the Actor on Apify.
3. Download the dataset as JSON, CSV, or Excel, or connect it to your API and automation workflows.

### Input Example

```json
{
  "query": "amazon",
  "maxItems": 50,
  "shopLimit": 12,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

### Output Sample (JSON format)

```json
{
  "id": 59,
  "name": "Amazon",
  "url": "https://www.gutscheinsammler.de/gutscheine/amazon-de",
  "resource": "https://www.gutscheinsammler.de/gutscheine/amazon-de",
  "logoUrl": "https://www.gutscheinsammler.de/gs/uploads/logos/amazon-de.jpg?1606905964",
  "numVouchers": 8,
  "searchTerm": "amazon",
  "position": 1,
  "scrapedAt": "2026-06-04T14:33:24.228Z"
}
```

### AI & LLM Integration (RAG-Ready)

The Actor returns compact structured records that can be used directly in AI and LLM workflows:

- Store shop-level records in a vector database for coupon-market retrieval and monitoring.
- Feed shop names, URLs, voucher counts, and search positions into lead scoring or competitor-monitoring pipelines.
- Use the dataset as a clean source for RAG systems answering questions about coupon-portal shop coverage.
- Connect Apify dataset exports to MCP, workflow automations, enrichment jobs, or BI dashboards.

### Typical Use Cases

- Coupon affiliate market research.
- German voucher-shop discovery.
- SEO and content planning for coupon pages.
- Competitor monitoring across shop names and voucher counts.
- Building clean shop-directory datasets for analysis.

### Notes & Limitations

- The Actor searches shop results exposed by Gutscheinsammler search; it does not extract individual coupon codes or voucher terms.
- Result availability and voucher counts reflect the public Gutscheinsammler API response at run time.
- Large batch workflows should use conservative limits and Apify Proxy where appropriate.

# Actor input Schema

## `query` (type: `string`):

Shop search query.

## `maxItems` (type: `integer`):

Maximum number of shops to save.

## `shopLimit` (type: `integer`):

Number of shops requested per API page.

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

Apify proxy configuration.

## Actor input object example

```json
{
  "query": "amazon",
  "maxItems": 50,
  "shopLimit": 12,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing shops matching the search query.

# 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 = {
    "query": "amazon",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("truenorth/gutscheinsammler-shop-search").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 = {
    "query": "amazon",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("truenorth/gutscheinsammler-shop-search").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "query": "amazon",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call truenorth/gutscheinsammler-shop-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=truenorth/gutscheinsammler-shop-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/CiYtbILVdClAFRjnu/builds/Er49EU3eO5BoG40hL/openapi.json