# PullAndBear Scraper (`gauzy_penguin/pullandbear-product-scraper`) Actor

Scrapes product listings from PullAndBear results. Supports keyword search, pagination, and rate-limit handling. Designed for stable, production-scale scraping.

- **URL**: https://apify.com/gauzy\_penguin/pullandbear-product-scraper.md
- **Developed by:** [scrape anything](https://apify.com/gauzy_penguin) (community)
- **Categories:**
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Pull\&Bear Search Results Scraper

### Overview

The **Pull\&Bear Search Results Scraper** is a production-grade Apify actor designed to extract product listings from **pullandbear.com** search results.

This actor is built for **stability, scalability, and ease of use**, providing clean, structured output suitable for analytics, monitoring, research, and downstream automation.

It supports keyword search, sorting, pagination, and rate-limit handling.

***

### Key Features

- 🔍 Keyword-based product search
- ↕️ Multiple sorting modes (best match, newest, price)
- 📦 Clean, simplified output schema
- 🔁 Automatic pagination
- 🛡 Built-in retry and rate-limit handling
- 🚀 Production-ready and Apify Store compliant

***

### How It Works

1. The actor initializes.
2. Results are paginated automatically until the requested limit is reached.
3. Each item is **simplified** into a clean, user-friendly structure.
4. Data is stored in the default Apify dataset.

***

### Input Configuration

#### Required Fields

| Field | Type | Description |
|------|------|-------------|
| `keywords` | string | Search keywords seperated by comma (e.g. `jacket, jeans , boots`) |

#### Optional Fields

| Field | Type | Description |
|------|------|-------------|
| `Country` | string | Get data for a specific country |
| `sortBy` | integer | Sorting mode |
| `maxItems` | integer | Maximum number of items to scrape |

#### Sorting Options (`sortBy`)

Best Match,
minPrice asc,
minPrice desc

***

### Output Data Structure

The actor outputs a **simplified, stable schema** designed for non-technical users and analysts.

### Use Cases

1. 📊 Market research and price analysis

2. 🛒 Product discovery and comparison

3. 📈 Trend monitoring

4. 🤖 Feeding downstream automation pipelines

5. 🧠 Dataset creation and enrichment

### Performance & Reliability

1. Automatic retries with exponential backoff

2. Graceful handling of rate limits (403 / 429)

3. Batched dataset writes for efficiency

4. Designed for long-running and large-scale jobs

### Support & Maintenance

This actor is actively maintained and designed for production usage.
For issues or feature requests, please use the Apify platform issue tracker.

### Final Notes

This actor prioritizes:

1. Data clarity

2. Operational reliability

3. Professional usability

It is suitable for both individual users and enterprise-scale workflows.

# Actor input Schema

## `keywords` (type: `string`):

List of keywords separated by commas to search for on Pull And Bear stores.

## `Country` (type: `string`):

Select the country to scrape data from.

## `sortBy` (type: `string`):

Choose how search results are sorted.

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

Maximum number for each keyword to retrieve.

## Actor input object example

```json
{
  "keywords": "jacket, jeans, boots",
  "Country": "ES",
  "sortBy": "Best Match",
  "maxItems": 200
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("gauzy_penguin/pullandbear-product-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("gauzy_penguin/pullandbear-product-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 '{}' |
apify call gauzy_penguin/pullandbear-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gauzy_penguin/pullandbear-product-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/S3m8to3dk6oJmTeDf/builds/m27sEL7ReLOtc1pzS/openapi.json