# Judge.me Shopify Reviews Scraper (`seemuapps/judgeme-reviews-scraper`) Actor

Scrape product and store reviews from any Shopify store's public Judge.me review widget — ratings, text, photos and reviewer names, no login required.

- **URL**: https://apify.com/seemuapps/judgeme-reviews-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.50 / 1,000 review results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Judge.me Shopify Reviews Scraper

Extract product and store reviews from any Shopify store that uses the Judge.me reviews widget — ratings, review text, reviewer names, verified-buyer status and photos — no login required.

### What you get

- Rating (1-5 stars), review title and body text for every review
- Reviewer name, location, verified-buyer badge and posting date
- The product each review belongs to (title and URL handle), or the store itself for store-level reviews
- Photo URLs attached to photo reviews
- Paginated output: each run returns a cursor so you can fetch a store's entire review history across multiple runs

### Use cases

- Competitive research — see what customers say about a competitor's products
- Voice-of-customer analysis and sentiment mining at scale
- Building a review-aggregation or comparison-shopping dataset
- Monitoring new reviews on your own store or a client's store
- Feeding customer feedback into an AI summarization or trend-analysis pipeline

### How to use

1. Enter **Shop domain** — the store's `*.myshopify.com` domain or its public storefront domain (e.g. `beardbrand.com`). Either works.
2. Choose **Review type** — Product reviews (reviews on individual products, the default) or Store reviews (reviews of the shopping experience).
3. Optionally set **Product handle** to keep only one product's reviews — use the slug after `/products/` in that product's URL.
4. Set **Max reviews** (default 200 per run; set 0 for unlimited).
5. Run the actor — results appear in the **Dataset** tab.
6. To fetch more, open the **Key-value store** tab, copy the `NEXT_PAGE_ID` value, and paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched everything available.

### Output format

Each dataset record is one review:

```json
{
  "reviewId": "e02056a0-ef77-4421-bff0-d922d4b477ed",
  "reviewerName": "Bob C.",
  "rating": 5,
  "title": null,
  "body": "excellent warm, fairly light scent. roll on so no alcohol to dilute.",
  "createdAt": "2026-08-31T22:00:20.000Z",
  "productTitle": "Custom Men's Cologne Set",
  "productHandle": "custom-mens-cologne-set",
  "verifiedBuyer": false,
  "photoUrls": [],
  "location": null,
  "reviewType": "product-reviews"
}
```

### Notes on pagination and product filtering

The store-wide review feed doesn't support server-side filtering to a single product, so **Product handle** is applied after fetching — the actor still paginates the full feed and keeps only matching reviews. For a store with many reviews and a narrow product filter, a run may need to page through more raw reviews than it ultimately returns; increase **Max reviews** or make additional runs with `NEXT_PAGE_ID` if you need more matches for a low-volume product.

# Actor input Schema

## `shopDomain` (type: `string`):

The Shopify store's domain that has the Judge.me reviews widget installed. Use either the store's '\*.myshopify.com' domain or its public storefront domain (e.g. 'beardbrand.com'), both work.

## `reviewType` (type: `string`):

Which review feed to scrape: 'Product reviews' returns reviews left on individual products across the whole store; 'Store reviews' returns reviews of the shopping experience itself.

## `productHandle` (type: `string`):

Limit results to one product by its Shopify URL handle (the slug after /products/ in the product URL, e.g. 'beard-oil'). Applied after fetching, since the public widget feed does not support server-side product filtering. Leave empty to keep every product's reviews.

## `maxItems` (type: `integer`):

Maximum number of reviews to return in this run. Set 0 for unlimited (the run paginates until every review is fetched or the run times out).

## `pageId` (type: `string`):

Paste NEXT\_PAGE\_ID from the previous run's Key-value store to continue where that run stopped.

## Actor input object example

```json
{
  "shopDomain": "beardbrand.myshopify.com",
  "reviewType": "product-reviews",
  "maxItems": 200
}
```

# Actor output Schema

## `results` (type: `string`):

One review per record. Fields: reviewId, reviewerName, rating, title, body, createdAt, productTitle, productHandle, verifiedBuyer, photoUrls, location, reviewType.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when every available review has been fetched.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "shopDomain": "beardbrand.myshopify.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/judgeme-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "shopDomain": "beardbrand.myshopify.com" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/judgeme-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "shopDomain": "beardbrand.myshopify.com"
}' |
apify call seemuapps/judgeme-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/judgeme-reviews-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/AhN0y47wOFDUH8VcJ/builds/0msyUdA17illsVNzC/openapi.json