# Amazon Air Purifier Reviews

**Use case:** 

Collect Amazon reviews for air purifiers and compare customer feedback using ratings, review text, dates, verified-purchase labels, and helpful-vote counts. Each product can also include an average rating, ratings count, star breakdown, and customer summary when available. Change the keyword to discover products in another category.

## Input

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B09X7MPX8L"
  ],
  "keywords": [
    "air purifiers"
  ],
  "categoryUrls": [],
  "maxProductsToDiscover": 5,
  "country": "amazon.com",
  "maxReviews": 50,
  "extendedHistory": true,
  "mergeMarketplaces": [],
  "sortBy": "helpful",
  "filterByStar": "",
  "verifiedPurchasesOnly": false,
  "filterKeywords": [],
  "reviewsNewerThan": "",
  "mediaReviewsOnly": false,
  "includeImages": true,
  "includeAggregates": true,
  "includeGdprSensitive": false
}
```

## Output

```json
{
  "productAsin": {
    "label": "ASIN",
    "format": "text"
  },
  "ratingScore": {
    "label": "Rating",
    "format": "number"
  },
  "reviewTitle": {
    "label": "Title",
    "format": "text"
  },
  "reviewDescription": {
    "label": "Review description"
  },
  "isVerified": {
    "label": "Verified",
    "format": "boolean"
  },
  "reviewedIn": {
    "label": "Reviewed in"
  },
  "reviewReaction": {
    "label": "Review reaction"
  },
  "variant": {
    "label": "Variant"
  },
  "reviewImages": {
    "label": "Review images"
  },
  "position": {
    "label": "Position"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "helpfulCount": {
    "label": "Helpful",
    "format": "number"
  },
  "reviewDate": {
    "label": "Date",
    "format": "text"
  },
  "reviewLocation": {
    "label": "Location",
    "format": "text"
  },
  "sentimentHint": {
    "label": "Sentiment",
    "format": "text"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "hasImages": {
    "label": "Has Images",
    "format": "boolean"
  },
  "imageCount": {
    "label": "Image count"
  },
  "scrapedAt": {
    "label": "Scraped at"
  },
  "sourceUrl": {
    "label": "Source url"
  },
  "reviewUrl": {
    "label": "Review URL",
    "format": "text"
  },
  "isVineVoice": {
    "label": "Vine",
    "format": "boolean"
  },
  "reviewVideos": {
    "label": "Review videos"
  },
  "hasVideos": {
    "label": "Has videos"
  },
  "reviewHash": {
    "label": "Review Hash",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "sourceMarketplace": {
    "label": "Marketplace",
    "format": "text"
  },
  "reviewedProductAsin": {
    "label": "Reviewed product asin"
  }
}
```

## How it works

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

The Amazon Customer Review & Rating Summary Scraper Actor is ready to run with the inputs already set for "Amazon Air Purifier Reviews". [Sign up or log in](https://console.apify.com/create-task-from-example/fAAwoo0WQcKCkVS4v) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Amazon Air Purifier Reviews" task

The Amazon Customer Review & Rating Summary Scraper Actor will start running based on the input automatically. You can also change all the input fields, like product urls or asins, keywords (discover products), and more, to match your specific use case.

### 3. Receive the "Amazon Air Purifier Reviews" 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 ASIN, rating, title, 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 "Amazon Air Purifier Reviews" task via API](https://apify.com/vexaloom-labs/amazon-customer-review-and-rating-summary-scraper.md).

## FAQ

### How do I get Amazon reviews for air purifiers?

The air purifier reviews task searches Amazon.com for “air purifiers,” discovers up to 5 products, and collects up to 50 reviews per product.

### Can I compare air purifier ratings and customer summaries?

The air purifier reviews task can include each product’s average rating, ratings count, star breakdown, and customer summary when available.

### How many air purifier products and reviews can one run return?

The air purifier reviews task is set to discover up to 5 products and collect up to 50 reviews per product; the per-product cap is 1–2000.

### How do I search Amazon reviews for another product category?

Change the search term from “air purifiers” in the air purifier reviews task to discover products in another category.

### How can I download Amazon air purifier review data?

Download the air purifier reviews task dataset as JSON, CSV, Excel, XML, RSS, or an HTML table, or read it through the Apify API.

## About this Actor

This example demonstrates how to use [Amazon Customer Review & Rating Summary Scraper](https://apify.com/vexaloom-labs/amazon-customer-review-and-rating-summary-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/amazon-customer-review-and-rating-summary-scraper.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/vexaloom-labs/amazon-customer-review-and-rating-summary-scraper.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`).