# Feel22 Search Scraper (`zsoftware/feel22-search-scraper`) Actor

A high-performance APIfy actor that scrapes product data from Feel22 based on your custom search terms. Ideal for e-commerce insights, price monitoring, or market research.

- **URL**: https://apify.com/zsoftware/feel22-search-scraper.md
- **Developed by:** [Karim](https://apify.com/zsoftware) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Feel22 Product Scraper

This Apify actor scrapes product listings from [Feel22.com](https://www.feel22.com/) based on provided search terms. It extracts comprehensive product data, including price, availability, and review details.

### 🛠 How It Works

The actor navigates to the Feel22 homepage, performs a search using each term provided, and collects product data from the resulting listings.

### ✅ Input Schema

#### Example Input

```json
{
  "searchTerms": ["blush", "lipstick", "moisturizer"]
}
```

- `searchTerms` (array of strings): A list of keywords to search for on Feel22. The actor will scrape the product results for each search term.

### 🏗️ Output Schema

The actor will return data about the products that match the search term, including the following fields:

#### Example Output

```json
{
  "id": "12345",
  "search_term": "blush",
  "product_name": "Maybelline New York Sunkisser Multi-Use Liquid Blush And Bronzer",
  "product_url": "https://feel22.com/products/maybelline-new-york-sunkisser-multi-use-liquid-blush-and-bronzer",
  "vendor": "Maybelline",
  "regular_price": "$12.99",
  "sale_price": "$9.99",
  "sold_out": false,
  "on_sale": true,
  "sale_percentage": "23%",
  "image_url": "https://feel22.com/products/image.jpg",
  "description": "A versatile liquid blush and bronzer that gives your skin a healthy glow.",
  "average_rating": 4.8,
  "review_count": 4
}
```

- `id`: The unique product ID.
- `search_term`: The search term that was used to find this product.
- `product_name`: The name of the product.
- `product_url`: The URL to the product page on Feel22.
- `vendor`: The product's brand or vendor.
- `regular_price`: The regular price of the product.
- `sale_price`: The sale price of the product, if applicable.
- `sold_out`: Whether the product is sold out.
- `on_sale`: Whether the product is currently on sale.
- `sale_percentage`: The percentage discount, if applicable.
- `image_url`: URL to the product's image.
- `description`: A brief description of the product.
- `average_rating`: The average rating of the product. If no rating is available will default to 0.0
- `review_count`: The number of reviews for the product.

### 🚀 How It Works

1. **Enter Search Term(s)**: Provide one or more search terms.
2. **Scrape Product Data**: The actor will scrape the product data from Feel22 for the given search term(s).
3. **Retrieve Results**: The scraped data will be returned, including product names, prices, ratings, and more.

### 📄 How to Use

1. **Set Up the Actor**: Add the actor to your Apify account and input your desired `searchTerms`.
2. **Run the Actor**: Run the actor to begin scraping product data based on the search term(s). Make sure you configure it with at least 4096MB memory to avoid crashes.
3. **Access the Results**: Once the actor has finished running, you can view the results in the Apify platform.

### 🔧 Requirements

- An active Apify account.

### 👨‍💻 Support

For issues or questions, please reach out to the Apify community or our support page.

# Actor input Schema

## `searchTerms` (type: `array`):

List of search terms to scrape products for. Example: \["acne mask", "blush"]

## Actor input object example

```json
{
  "searchTerms": [
    "acne mask",
    "blush"
  ]
}
```

# 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 = {
    "searchTerms": [
        "acne mask",
        "blush"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zsoftware/feel22-search-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 = { "searchTerms": [
        "acne mask",
        "blush",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("zsoftware/feel22-search-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 '{
  "searchTerms": [
    "acne mask",
    "blush"
  ]
}' |
apify call zsoftware/feel22-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zsoftware/feel22-search-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/gWsiCrokEYpw6mckr/builds/J5Vx96vvq4rVhNM11/openapi.json