# Express Reviews Scraper (`getdataforme/express-reviews-scraper`) Actor

The Express Reviews Scraper extracts customer reviews from Express.com product pages, offering businesses and researchers insights for data-driven decisions....

- **URL**: https://apify.com/getdataforme/express-reviews-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 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?

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

## Express Reviews Scraper

The Express Reviews Scraper is a powerful tool designed to extract customer reviews from Express.com product pages. This actor is ideal for businesses and researchers looking to gather insights from customer feedback, enabling data-driven decision-making and competitive analysis.

### Features

- **Efficient Data Extraction**: Quickly scrape reviews from multiple product pages.
- **Customizable Parameters**: Set the number of reviews to extract with ease.
- **High-Quality Data**: Extract detailed review information including ratings, comments, and user demographics.
- **Reliable Performance**: Designed to handle large volumes of data efficiently.
- **User-Friendly Interface**: Simple setup and configuration through the Apify platform.
- **Comprehensive Output**: Provides structured JSON data for easy integration.
- **Scalable Solution**: Suitable for both small-scale and enterprise-level data needs.

### Input Parameters

| Parameter  | Type    | Required | Description                                   | Example                                                                 |
|------------|---------|----------|-----------------------------------------------|-------------------------------------------------------------------------|
| startUrls  | array   | Yes      | URLs to start with.                           | `["https://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews"]` |
| maxItems   | integer | No       | Maximum number of reviews to save.            | `100`                                                                  |

### Example Usage

#### Example Input

```json
{
  "startUrls": [
    {
      "url": "https://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews"
    }
  ],
  "maxItems": 50
}
```

#### Example Output

```json
[
  {
    "review_id": "379664390",
    "headline": "Everyone has to own a pair of black jeans.",
    "comment": "Stretchy, slim, and comfortable. Although, it's not as tapered at the bottom as I would've liked. No biggy.",
    "nickname": "Megatron Crusader",
    "rating": 5,
    "verified_buyer": false,
    "location": "Undisclosed",
    "locale": "en_US",
    "created_date": "2026-02-20T05:35:27.000Z",
    "product_id": "02846812",
    "product_variant_id": "33x30",
    "properties": {
      "size_rating": 3,
      "comfort_rating": 5,
      "quality_rating": 5,
      "weight": "190",
      "size_purchased": "33x30",
      "body_type": "Athletic",
      "age": "25-29",
      "height_ft": "5",
      "height_in": "8"
    },
    "is_recommended": true,
    "helpful_votes": 0,
    "helpful_score": 0,
    "photos": []
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gain insights into customer preferences and trends.
- **Competitive Intelligence**: Monitor competitor products and customer feedback.
- **Price Monitoring**: Track pricing changes and customer sentiment over time.
- **Content Aggregation**: Collect user-generated content for analysis and reporting.
- **Academic Research**: Study consumer behavior and product reception.
- **Business Automation**: Automate data collection for streamlined operations.

### Installation and Usage

```
1. Search for "Express Reviews Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
```

### Output Format

The output is a JSON array where each object represents a review. Key fields include:

- `review_id`: Unique identifier for the review.
- `headline`: Summary of the review.
- `comment`: Detailed review text.
- `rating`: Star rating given by the reviewer.
- `properties`: Additional attributes such as size, comfort, and quality ratings.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

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

URLs to start with.

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

Maximum number of reviews to save.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews"
    }
  ],
  "maxItems": 100
}
```

# Actor output Schema

## `results` (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://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/express-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://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/express-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://www.express.com/clothing/men/slim-black-hyper-stretch-jeans/pro/02846812/color/Black/#reviews"
    }
  ]
}' |
apify call getdataforme/express-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/express-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/q5SdvrlCKLEdHAl0Q/builds/ntJFwzkLe1TkNZxQu/openapi.json