# Read five-star Shopify product reviews

**Use case:** 

Find what reviewers like about a product. This example saves up to 100 five-star reviews from a Shopify product using Okendo. Change the product link or rating filter for your own research. Permission to republish reviews is not included.

## Input

```json
{
  "productUrls": [
    "https://www.rhodeskin.com/products/peptide-lip-tint-sweet-apple"
  ],
  "maxReviewsPerProduct": 100,
  "maxTotalReviews": 100,
  "ratings": [
    "5"
  ]
}
```

## Output

```json
{
  "provider": {
    "label": "Review provider"
  },
  "rating": {
    "label": "Rating"
  },
  "body": {
    "label": "Review text"
  },
  "publishedAt": {
    "label": "Published at (UTC)"
  },
  "reviewedProductName": {
    "label": "Reviewed product name"
  },
  "isGroupedReview": {
    "label": "Shared product-group review"
  }
}
```

## How it works

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

The Shopify Product Reviews Scraper API Actor is ready to run with the inputs already set for "Read five-star Shopify product reviews". [Sign up or log in](https://console.apify.com/create-task-from-example/G3q8Ynp4f3IsFGAwU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Read five-star Shopify product reviews" task

The Shopify Product Reviews Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like product or store links, reviews to check per product, and more, to match your specific use case.

### 3. Receive the "Read five-star Shopify product 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 review provider, rating, review text, 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 "Read five-star Shopify product reviews" task via API](https://apify.com/cleanscrape/shopify-reviews-scraper.md).

## About this Actor

This example demonstrates how to use [Shopify Product Reviews Scraper API](https://apify.com/cleanscrape/shopify-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cleanscrape/shopify-reviews-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/cleanscrape/shopify-reviews-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`).