# Judge.me Reviews Scraper (`piotrv1001/judge-me-reviews-scraper`) Actor

Export Judge.me reviews from Shopify stores and product pages, including ratings, review text, photos and merchant replies. Track new reviews across runs with product context and coverage reports for competitor research and customer feedback analysis.

- **URL**: https://apify.com/piotrv1001/judge-me-reviews-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 reviews

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Judge.me Reviews Scraper — Shopify Reviews & New-Review Tracking

Export customer reviews from Shopify stores and product pages that use Judge.me. Collect ratings, review text, dates, product links, photos and merchant replies, or track reviews that have not yet been delivered by an earlier run.

### ✨ Features

- Product review exports and store-wide product review feeds.
- Multiple storefronts in one run, with one global review limit.
- Newest, lowest-rated, highest-rated and most-helpful ordering.
- Star-rating and verified-buyer filters before review billing.
- Persistent new-review tracking with a named tracker and publication window.
- Review photos, merchant replies, source badges and original product context.
- Coverage summaries that distinguish limits, unsupported targets and source-count discrepancies.
- Public reviewer names are optional and off by default.

### 🚀 How it works

1. Enter one or more Shopify storefront or product URLs.
2. Set **Maximum reviews**. The default is 50 across the entire run.
3. Select **Review export**, or choose **New-review tracking** and a tracker name.
4. Run the Actor and export the reviews as JSON, CSV or Excel. Check **Coverage summary** for any incomplete targets.

#### Default example

```json
{
  "startUrls": [{ "url": "https://owalalife.com/products/freesip" }],
  "maxItems": 50
}
```

#### Track new reviews across brands

```json
{
  "startUrls": [
    { "url": "https://lakoanutrition.com/products/whey-protein-isolate" },
    { "url": "https://finicc.com" }
  ],
  "mode": "newReviews",
  "stateKey": "competitor-reviews",
  "lookbackDays": 30,
  "maxItems": 100
}
```

Reuse the same tracker name and filters on subsequent scheduled runs. The first run returns existing reviews within the selected window; later runs return previously undelivered IDs in that window. A capped first run can therefore be followed by runs that deliver additional existing reviews. An unchanged, fully scanned window returns no review rows.

Different filters, date boundaries, tracking windows or reviewer-name settings create separate tracking scopes. These changes can return previously delivered reviews again. To reset intentionally, choose a new tracker name. Do not use another customer's tracking storage. Runs sharing a tracker name are serialized; an overlapping run may fail with a message to wait.

#### Find low-rated feedback

```json
{
  "startUrls": [{ "url": "https://finicc.com" }],
  "maxItems": 100,
  "sortBy": "lowestRating",
  "ratings": ["1", "2"],
  "verifiedOnly": true
}
```

### 📥 Input

| Field | Default | Meaning |
|---|---|---|
| `startUrls` | Owala FreeSip | Up to 20 store or product URLs. |
| `maxItems` | `50` | Global maximum returned review rows, up to 10,000. |
| `mode` | `snapshot` | `snapshot` export or `newReviews` tracking. |
| `stateKey` | `default` | Saved tracker name, used only for tracking. |
| `lookbackDays` | `30` | Publication window used by tracking. |
| `sortBy` | `newest` | `newest`, `lowestRating`, `highestRating`, `mostHelpful`. Tracking requires `newest`. |
| `ratings` | All | Selected stars, e.g. `["1", "2"]`. |
| `verifiedOnly` | `false` | Only source-marked verified buyers. |
| `since` | None | Inclusive ISO publication date, e.g. `2026-09-01`. |
| `includeReviewerNames` | `false` | Include public display names where available. |

With both `since` and a tracking window, the later date applies. Reviews with missing dates are excluded when a date condition is active, and the summary reports the issue.

### 📊 Sample output

Illustrative field values:

```json
{
  "rowType": "review",
  "reviewId": "example-review-id",
  "shopDomain": "example.myshopify.com",
  "rating": 4,
  "title": "Useful everyday bottle",
  "body": "Easy to carry and clean.",
  "publishedAt": "2026-09-18T10:00:00.000Z",
  "verifiedBuyer": true,
  "productTitle": "Everyday Bottle",
  "productUrl": "https://example.com/products/everyday-bottle",
  "photos": [],
  "merchantReply": null,
  "helpfulVotes": 0,
  "unhelpfulVotes": 0,
  "language": "en",
  "reviewSource": null,
  "transparencyBadges": ["review_collected_via_store_invitation"],
  "scope": "product",
  "requestedProductId": "123456789",
  "requestedUrl": "https://example.com/products/everyday-bottle",
  "scrapedAt": "2026-09-19T10:00:00.000Z"
}
```

Product review feeds can include related products, regional versions or grouped reviews. `requestedProductId` identifies the product you asked for; `productTitle` and `productUrl` describe the review's original product when supplied. Missing fields remain empty or `null` rather than being filled with guessed product details.

Reviews appearing under overlapping input targets are returned once per shop and review ID during a run. The first matching target supplies the request context.

### 💰 Proposed pricing

Configure these events in Apify Console before publishing. The Console pricing displayed at purchase is authoritative.

| Event | Price | Charged when |
|---|---:|---|
| Actor start | $0.01 per run | A valid run begins collection, including checks that find no new reviews. |
| Review | $0.0012 per review | A review row is returned. Equivalent to $1.20 per 1,000 reviews. |

Examples: 50 reviews cost $0.07; 1,000 cost $1.21; a check with no new reviews costs $0.01. These are proposed event charges with usage included, subject to final Console configuration. Filtered-out and previously tracked reviews have no review charge. Coverage summaries have no separate event charge. The startup fee may still apply when a valid target cannot be collected.

**Review is the primary event.** There is no product-listing fee or additional detail fee. The run's maximum charge limit can stop collection before `maxItems` is reached.

### Coverage and tracking limitations

- Supports public Judge.me **product reviews** on compatible Shopify storefronts. Store-wide mode collects product reviews across the store; service-only store reviews, videos and Q\&A are outside this version's guarantees.
- An unsupported storefront is reported explicitly. If every target fails, the run fails instead of claiming a successful empty export.
- A displayed total may exceed the retrievable review count. The summary records source totals and gaps where comparable; a reached limit is not a complete historical export.
- Tracking covers the selected publication window. Late imports with older dates outside that window, removed reviews, and edits to previously delivered IDs are not returned as new reviews. Use a separate export for periodic reconciliation.
- A tracker stores up to 50,000 delivered IDs per scope. Reaching this capacity stops collection explicitly; a fresh tracker can repeat older results.
- Runs also have protective scan limits. Selective filters and large histories can reach those limits before the desired number of results; inspect the summary.
- Checkpoints are saved after successful output, in page-sized batches. A sudden crash between output and checkpoint storage can cause some rows to reappear after restart. Downstream systems should upsert using `shopDomain` + `reviewId`; exactly-once delivery is not promised.
- Cloud performance and large historical exports should be benchmarked for your target stores. Source availability and storefront changes can affect results.

### 🔗 Related Actor

Use the [Shopify Product Scraper](https://apify.com/piotrv1001/shopify-product-scraper) for catalog, price and product information alongside review exports. Join using the original product URL where available; grouped reviews do not always map to one exact SKU.

### Support

When reporting an issue, include the input URL, run ID and relevant coverage-summary entry. This Actor is independent of Judge.me and Shopify. It collects published review information; no merchant credentials are required.

# Actor input Schema

## `startUrls` (type: `array`):

Shopify storefront or product URLs using Judge.me. Up to 20 targets; the review limit applies to the entire run.

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

Maximum review rows returned across all URLs. Filtered and previously tracked reviews do not count.

## `mode` (type: `string`):

Export reviews, or return reviews not yet delivered by this tracker within the recent window. First tracking runs also return existing reviews in that window.

## `stateKey` (type: `string`):

Reuse the same name for scheduled tracking runs. Use a different name to start a fresh tracker. Only used in new-review mode.

## `lookbackDays` (type: `integer`):

New-review mode scans this recent publication window. Older imported reviews and updates to previously delivered reviews are not returned.

## `sortBy` (type: `string`):

Choose review ordering. New-review tracking requires Newest first.

## `ratings` (type: `array`):

Only return selected ratings. Leave empty for every rating.

## `verifiedOnly` (type: `boolean`):

Only return reviews marked as verified by the source.

## `since` (type: `string`):

Optional date such as 2026-09-01 or UTC timestamp. Reviews with unavailable dates are excluded and reported in the summary.

## `includeReviewerNames` (type: `boolean`):

Include the public display name when available. Off by default.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://owalalife.com/products/freesip"
    }
  ],
  "maxItems": 50,
  "mode": "snapshot",
  "stateKey": "default",
  "lookbackDays": 30,
  "sortBy": "newest",
  "ratings": [],
  "verifiedOnly": false,
  "includeReviewerNames": false
}
```

# Actor output Schema

## `reviews` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://owalalife.com/products/freesip"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/judge-me-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 = { "startUrls": [{ "url": "https://owalalife.com/products/freesip" }] }

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/judge-me-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 '{
  "startUrls": [
    {
      "url": "https://owalalife.com/products/freesip"
    }
  ]
}' |
apify call piotrv1001/judge-me-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/judge-me-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/TocmdbL6L7YofjTzd/builds/d5eIsiANLg82dto1p/openapi.json