# POCO Scraper — German Furniture & Home Discount Products & Pric (`studio-amba/poco-scraper`) Actor

Scrape products, prices, and availability from POCO.de. Germany's popular furniture and home discount retailer. Supports category browsing, search queries, and full catalog via sitemap.

- **URL**: https://apify.com/studio-amba/poco-scraper.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 result scrapeds

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

## POCO Scraper

Scrape furniture and home products from poco.de, a German discount furniture chain. The scraper reads JSON-LD structured data (ItemList on category pages, ProductGroup on detail pages), so the output is clean and reliable.

### How it works

POCO embeds rich JSON-LD data on every page:

- **Category pages** contain `ItemList` with all visible products including price, availability, and images
- **Product pages** use `ProductGroup` with variant data, strikethrough pricing, color, and size info

The scraper can start from search results, category URLs, or auto-discover via sitemap.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQuery` | string | Search poco.de (e.g., `"schreibtisch"`) |
| `categoryUrls` | array | Category page URLs |
| `maxResults` | integer | Limit (default: 100) |
| `proxyConfiguration` | object | Proxy settings |

Without input, it fetches the sitemap and discovers categories + products automatically.

### Output

| Field | Type | Example |
|-------|------|---------|
| `name` | string | `"Schreibtisch Sonoma Eiche"` |
| `brand` | string | `"POCO"` |
| `price` | number | `59.99` |
| `originalPrice` | number | `89.99` |
| `currency` | string | `"EUR"` |
| `sku` | string | `"123456"` |
| `ean` | string | `"4001234567890"` |
| `inStock` | boolean | `true` |
| `color` | string | `"Sonoma Eiche"` |
| `size` | string | `"120 x 60 cm"` |
| `url` | string | Product URL |
| `imageUrl` | string | Main image |
| `description` | string | Product description |
| `category` | string | `"Arbeitszimmer"` |

### Cost

Category pages return 20-50 products each in JSON-LD, so scraping is very efficient. Full catalog scrape runs about $2-3.

### Notes

- Pagination uses `?p=N` parameter
- Sitemap categories use `/k/` paths; products use `/p/`
- StrikethroughPrice in `priceSpecification` indicates the original price

# Actor input Schema

## `categoryUrls` (type: `array`):

One or more POCO category page URLs to scrape. Example: https://www.poco.de/k/moebel/schraenke

## `searchQuery` (type: `string`):

Search for products by keyword (e.g., 'sofa', 'tisch', 'lampe').

## `maxResults` (type: `integer`):

Maximum number of products to return.

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

Proxy settings. Usually not needed for POCO.de.

## Actor input object example

```json
{
  "categoryUrls": [
    {
      "url": "https://www.poco.de/k/moebel/schraenke"
    }
  ],
  "maxResults": 100
}
```

# 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 = {
    "categoryUrls": [
        {
            "url": "https://www.poco.de/k/moebel/schraenke"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/poco-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 = { "categoryUrls": [{ "url": "https://www.poco.de/k/moebel/schraenke" }] }

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/poco-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 '{
  "categoryUrls": [
    {
      "url": "https://www.poco.de/k/moebel/schraenke"
    }
  ]
}' |
apify call studio-amba/poco-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,studio-amba/poco-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/isSWUH3klq23oTJY1/builds/ePJEQh2PwORMcacJk/openapi.json