# Sephora Product Reviews Export

**Use case:** 

Export Sephora product reviews from Sephora product pages. Add one or more URLs and get one record per review: product ID, review ID, rating, title, body, source, review type, date, product name, skin tone and type, eye and hair color, incentivized and employee flags and nickname. Use it for product research and sentiment analysis. Download JSON, CSV or Excel, or schedule it. No coding needed.

## Input

```json
{
  "Urls": [
    "https://www.sephora.com/product/lip-sleeping-mask-P420652"
  ],
  "itemLimit": 10
}
```

## Output

```json
{
  "Product_Id": {
    "label": "Product ID",
    "format": "string"
  },
  "Review_Id": {
    "label": "Review ID",
    "format": "string"
  },
  "Rating": {
    "label": "Rating",
    "format": "integer"
  },
  "Title": {
    "label": "Review Title",
    "format": "string"
  },
  "Product_Name": {
    "label": "Product Name",
    "format": "string"
  },
  "User_Nickname": {
    "label": "User Nickname",
    "format": "string"
  },
  "Verified_Purchaser": {
    "label": "Verified Purchaser",
    "format": "boolean"
  },
  "url": {
    "label": "Product URL",
    "format": "string"
  },
  "Date": {
    "label": "Review Date",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Sephora Reviews Spider Actor is ready to run with the inputs already set for "Sephora Product Reviews Export". [Sign up or log in](https://console.apify.com/create-task-from-example/jORyocn3FxMh9Hk6X) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Sephora Product Reviews Export" task

The Sephora Reviews Spider Actor will start running based on the input automatically. You can also change all the input fields, like urls and item limit, to match your specific use case.

### 3. Receive the "Sephora Product Reviews Export" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product id, review id, rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Sephora Product Reviews Export" task via API](https://apify.com/getdataforme/sephora-reviews-spider.md).

## FAQ

### What data does this task return?

One record per review: product ID, review ID, rating, title, body, source, review type and date. Other fields are included in the export.

### Which input fields can I change?

Change Urls to set what is scraped, and itemLimit to cap how many reviews are collected.

### How many reviews can I collect?

Set itemLimit to the number you need. This task is set to 10 to keep runs short.

### Which formats can I export the results in?

The dataset can be downloaded as JSON, CSV, Excel, HTML, XML or RSS, or read through the Apify API.

### Do I need an account or a proxy?

No account or login details are needed in the input. The input has no proxy setting.

## About this Actor

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


## How to integrate an Actor?

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

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getdataforme/sephora-reviews-spider.md

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`).