# Find Robot Vacuum Complaints on Amazon

**Use case:** 

Find bestselling robot vacuums through Amazon keyword search and collect critical customer reviews to help consumers and product teams spot recurring issues. Results include review titles, review text, star ratings, and product rating aggregates. Change the keywords input to focus on a different product category.

## Input

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B09X7MPX8L"
  ],
  "keywords": [
    "best selling robot vacuum"
  ],
  "categoryUrls": [],
  "maxProductsToDiscover": 5,
  "extendedHistory": true,
  "mergeMarketplaces": [],
  "includeAggregates": true,
  "country": "amazon.com",
  "maxReviews": 100,
  "sortBy": "helpful",
  "filterByStar": "critical",
  "verifiedPurchasesOnly": false,
  "filterKeywords": [],
  "reviewsNewerThan": "",
  "mediaReviewsOnly": false,
  "includeImages": true,
  "includeGdprSensitive": false
}
```

## Output

```json
{
  "productAsin": {
    "label": "ASIN",
    "format": "text"
  },
  "reviewedProductAsin": {
    "label": "Reviewed product asin"
  },
  "ratingScore": {
    "label": "Rating",
    "format": "number"
  },
  "reviewTitle": {
    "label": "Title",
    "format": "text"
  },
  "reviewDescription": {
    "label": "Review description"
  },
  "isVerified": {
    "label": "Verified",
    "format": "boolean"
  },
  "isVineVoice": {
    "label": "Is vine voice"
  },
  "reviewedIn": {
    "label": "Reviewed in"
  },
  "reviewReaction": {
    "label": "Review reaction"
  },
  "variant": {
    "label": "Variant"
  },
  "reviewImages": {
    "label": "Review images"
  },
  "position": {
    "label": "Position"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "reviewUrl": {
    "label": "Review url"
  },
  "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"
  },
  "hasVideos": {
    "label": "Has videos"
  },
  "videoCount": {
    "label": "Video count"
  },
  "reviewHash": {
    "label": "Review hash"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "sourceMarketplace": {
    "label": "Marketplace",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped at"
  },
  "sourceUrl": {
    "label": "Source url"
  }
}
```

## How it works

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

The Amazon Review Aggregates & Extended History Scraper Actor is ready to run with the inputs already set for "Find Robot Vacuum Complaints on Amazon". [Sign up or log in](https://console.apify.com/create-task-from-example/lcvCkgHbDWR7bvLdD) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Robot Vacuum Complaints on Amazon" task

The Amazon Review Aggregates & Extended History Scraper Actor will start running based on the input automatically. You can also change all the input fields, like product urls, keywords (auto-discover products), and more, to match your specific use case.

### 3. Receive the "Find Robot Vacuum Complaints on Amazon" 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, reviewed product asin, 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 "Find Robot Vacuum Complaints on Amazon" task via API](https://apify.com/dataspryva/amazon-review-aggregates-and-extended-history.md).

## FAQ

### How do I find common complaints about bestselling robot vacuums on Amazon?

The robot vacuum reviews task searches Amazon for bestselling robot vacuums and collects critical customer reviews with titles, text, and star ratings. Change the search phrase to explore another product category.

### How many robot vacuum reviews can I get per product?

The robot vacuum reviews task caps results at 100 reviews per product for this setup. The scraper can collect up to 2,000 per product when configured with a higher limit.

### Can I export the Amazon review data to CSV or Excel?

After running the robot vacuum reviews task, download its dataset as CSV, Excel, JSON, XML, RSS, or an HTML table, or read it through the Apify API.

### How much does it cost to collect Amazon robot vacuum reviews?

For this setup, the robot vacuum reviews task can return up to 5 results, with a maximum result charge of $0.00495 on the Free plan, plus the Actor start event and Apify compute usage. Result prices vary by plan.

### Does collecting Amazon reviews require a login or API key?

The robot vacuum reviews task collects public Amazon review data without an Amazon login or proxy setup. Running the task through the Apify API uses the platform's API.

### Can I run the Amazon review collection on a schedule?

You can schedule the robot vacuum reviews task with Apify Schedules, run it through the Apify API, or use integrations such as Zapier, Make, and n8n.

## About this Actor

This example demonstrates how to use [Amazon Review Aggregates & Extended History Scraper](https://apify.com/dataspryva/amazon-review-aggregates-and-extended-history.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/amazon-review-aggregates-and-extended-history.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/dataspryva/amazon-review-aggregates-and-extended-history.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`).