# Discover Dior Perfumes on Fragrantica

**Use case:** 

Collect Dior perfume names, fragrance gender, release years, ratings, review counts, and product URLs from Fragrantica search results. Use the dataset for perfume market research, portfolio analysis, and brand monitoring.

## Input

```json
{
  "urls": [
    "https://www.fragrantica.com/search/?query=Dior"
  ],
  "maxitems": 60
}
```

## Output

```json
{
  "objectId": {
    "label": "ID",
    "format": "text"
  },
  "name": {
    "label": "Perfume",
    "format": "text"
  },
  "brand": {
    "label": "Brand",
    "format": "text"
  },
  "gender": {
    "label": "Gender",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "text"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "text"
  },
  "thumbnailUrl": {
    "label": "Thumbnail",
    "format": "link"
  },
  "productUrl": {
    "label": "Product URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Fragrantica.com Scraper - Low-cost💲🔥🌸🧴](https://apify.com/delectable_incubator/fragrantica-com-scraper-low-cost.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delectable_incubator/fragrantica-com-scraper-low-cost.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/delectable_incubator/fragrantica-com-scraper-low-cost.md

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).