# Picfee Discovery Parser Spider (`getdataforme/picfee-discovery-parser-spider`) Actor

The Picfee Discovery Parser Spider scrapes art product data from Picfee.com using customizable keywords....

- **URL**: https://apify.com/getdataforme/picfee-discovery-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

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

***

## Picfee Discovery Parser Spider

### Introduction

The Picfee Discovery Parser Spider is a powerful tool designed to scrape product data from Picfee.com based on specified keywords. It efficiently extracts detailed information about art products, making it invaluable for market research and competitive analysis.

### Features

- **Keyword-Based Scraping**: Customize searches with specific keywords.
- **High-Quality Data Extraction**: Ensures accurate and reliable product details.
- **Flexible Item Limit**: Control the number of items scraped per run.
- **Comprehensive Output**: Provides detailed product information including name, image URL, size, orientation, material, artist, and more.
- **Easy Integration**: Seamlessly integrates with Apify Store for automated data collection.

### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example                      |
|-------------|---------|----------|-----------------------------------------------------------------------------|------------------------------|
| Keywords    | array   | No       | The keywords for the spider.                                                | `["posters", "metal print"]` |
| item\_limit  | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                         |

### Example Usage

#### Input JSON

```json
{
  "Keywords": ["posters", "metal print"],
  "item_limit": 10
}
```

#### Output JSON

```json
[
  {
    "product_name": "Mystical Winter Forest",
    "product_image": "https://assets.picfee.com/cdn-cgi/image/onerror=redirect,height=640,fit=scale-down,quality=70,format=auto,width=320/media/thumbnail/c0dea2ee-cd12-47d2-b7d3-f2caa8b03343.jpg-320x400.jpg",
    "size": "50x40 cm",
    "orientation": "Portrait",
    "material": "Poster",
    "artist_name": "by John Goossens",
    "product_url": "https://www.picfee.com/en/artwork/19316/mystical-winter-forest-by-john-goossens?size_id=47&material_id=3",
    "keyword": "metal print",
    "actor_id": "TJPahWHH09q1baZcY",
    "run_id": "djI9dTGBBKcOgCxo2"
  },
  {
    "product_name": "Roosters",
    "product_image": "https://assets.picfee.com/cdn-cgi/image/onerror=redirect,height=640,fit=scale-down,quality=70,format=auto,width=400/media/thumbnail/4016bb08-d848-430f-a40e-56be8e49cae5-400x320.jpg",
    "size": "45x30 cm",
    "orientation": "Landscape",
    "material": "Poster",
    "artist_name": "by Wim van der Geest",
    "product_url": "https://www.picfee.com/en/artwork/15885/roosters-by-wim-van-der-geest?size_id=61&material_id=3",
    "keyword": "metal print",
    "actor_id": "TJPahWHH09q1baZcY",
    "run_id": "djI9dTGBBKcOgCxo2"
  },
  {
    "product_name": "The bow of a ship, its hawsers,...",
    "product_image": "https://assets.picfee.com/cdn-cgi/image/onerror=redirect,height=640,fit=scale-down,quality=70,format=auto,width=400/media/thumbnail/cf8b6de8-6550-46a5-b8f8-5ef110c120f0.jpg-400x320.jpg",
    "size": "40x30 cm",
    "orientation": "Landscape",
    "material": "Poster",
    "artist_name": "by Scheepskijker_Havenfotografie",
    "product_url": "https://www.picfee.com/en/artwork/19293/the-bow-of-a-ship-its-hawsers-and-anchors-by-scheepskijker-havenfotografie?size_id=40&material_id=3",
    "keyword": "metal print",
    "actor_id": "TJPahWHH09q1baZcY",
    "run_id": "djI9dTGBBKcOgCxo2"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data on art products for market insights.
- **Competitive Intelligence**: Monitor competitor offerings and pricing strategies.
- **Price Monitoring**: Track price changes over time for specific products.
- **Content Aggregation**: Compile product information for content creation.
- **Academic Research**: Use scraped data for research projects in art studies.
- **Business Automation**: Automate data collection processes for business operations.

### Installation and Usage

1. Search for "Picfee Discovery Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array of objects, each containing:

- `product_name`: Name of the product.
- `product_image`: URL of the product image.
- `size`: Dimensions of the product.
- `orientation`: Orientation (Portrait/Landscape).
- `material`: Material type (e.g., Poster).
- `artist_name`: Name of the artist.
- `product_url`: Direct link to the product page.
- `keyword`: Keyword used for scraping.
- `actor_id`: Unique identifier for the actor run.
- `run_id`: Unique identifier for the specific run.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Get Data For Me](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Keywords` (type: `array`):

The keywords for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Keywords": [
    "posters",
    "canvas",
    "metal print"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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("getdataforme/picfee-discovery-parser-spider").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("getdataforme/picfee-discovery-parser-spider").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 getdataforme/picfee-discovery-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/picfee-discovery-parser-spider"
        }
    }
}

```

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/TJPahWHH09q1baZcY/builds/athzM2vGBMxWe8OlO/openapi.json