# Sephora Product Review Insights

**Use case:** 

Gather and analyze customer reviews for any Sephora product. This task extracts up to 100 detailed reviews and ratings from your specified product URL, offering insights into product sentiment and customer experiences. Use this data for informed decision-making in beauty e-commerce.

## Input

```json
{
  "productUrl": "https://www.sephora.com/product/kayali-yum-boujee-marshmallow-81-eau-de-parfum-intense-P512856?skuId=2804821&icid2=products%20grid:p512856:product",
  "results_wanted": 100,
  "max_pages": 10,
  "sort": "SubmissionTime:desc",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "review_id": {
    "label": "Review ID",
    "format": "string"
  },
  "product_id": {
    "label": "Product ID",
    "format": "string"
  },
  "product_title": {
    "label": "Product Title",
    "format": "string"
  },
  "reviewer_name": {
    "label": "Reviewer Name",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Review Title",
    "format": "string"
  },
  "review_text": {
    "label": "Review Text",
    "format": "string"
  },
  "is_recommended": {
    "label": "Is Recommended",
    "format": "boolean"
  },
  "submission_time": {
    "label": "Submission Time",
    "format": "string"
  },
  "helpful_votes": {
    "label": "Helpful Votes",
    "format": "number"
  },
  "verified_purchaser": {
    "label": "Verified Purchaser",
    "format": "boolean"
  },
  "skin_type": {
    "label": "Skin Type",
    "format": "string"
  },
  "skin_tone": {
    "label": "Skin Tone",
    "format": "string"
  },
  "product_url": {
    "label": "Product URL",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Sephora Reviews Scraper](https://apify.com/shahidirfan/sephora-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/shahidirfan/sephora-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
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).
- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/shahidirfan/sephora-reviews-scraper.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).
