# Express Profile Scraper (`getdataforme/express-profile-scraper`) Actor
The Express Profile Scraper extracts detailed product data from Express.com, including titles, prices, ratings, and reviews....
- **URL**: https://apify.com/getdataforme/express-profile-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Express Profile Scraper
The Express Profile Scraper is a powerful tool designed to extract detailed product information from Express.com. It efficiently gathers data such as product titles, prices, ratings, reviews, and more, providing valuable insights for market analysis and competitive intelligence.
### Features
- **Comprehensive Data Extraction**: Captures detailed product information including prices, ratings, and reviews.
- **High Data Quality**: Ensures accurate and up-to-date data collection.
- **Efficient Performance**: Quickly processes multiple URLs for large-scale data needs.
- **User-Friendly Interface**: Easy setup and configuration for seamless operation.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats.
- **Reliable and Robust**: Built to handle high-volume data scraping without interruptions.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `["https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"]` |
### Example Usage
#### Example Input JSON
```json
{
"startUrls": [
{
"url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
}
]
}
````
#### Example Output JSON
```json
[
{
"title": "Editor Studio Stretch Twill High Waisted Flare Trouser",
"rating": 4.5,
"reviewCount": 718,
"currentPrice": "$46.80",
"originalPrice": "$78.00",
"discountMessage": "Price Reflects 40% Off",
"selectedColor": "cobalt blue",
"availableColors": [
{"code": "0058", "name": "0058"},
{"code": "0813", "name": "0813"},
// Additional colors...
],
"availableSizes": ["0", "2", "4", "6", "8", "10", "12", "14", "16"],
"availableLengths": ["long", "regular", "short"],
"fitRating": "Fits as expected",
"description": "The Editor Pantβthe iconic style that started it all...",
"features": [
"Crafted from our beloved Studio Stretch Twill...",
"Remove pocket basting stitches before wearing.",
// Additional features...
],
"inseamMeasurements": "Inseam: Short 30\", Regular 33\", Long 35\"",
"fabricComposition": "Polyester/Spandex",
"careInstructions": "Machine wash",
"suggestedPairings": ["06957617", "67406482", "06957071"],
"relatedProducts": [
{
"id": "06957916",
"name": "Studio Stretch Twill Novelty Button Cutaway Blazer Vest",
"currentPrice": "$46.80",
"originalPrice": "$78.00",
"rating": 5,
"reviewCount": 1,
"url": "https://www.express.com/clothing/women/studio-stretch-twill-novelty-button-cutaway-blazer-vest/pro/06957916"
}
// Additional related products...
]
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather comprehensive product data for market trends.
- **Competitive Intelligence**: Monitor competitor pricing and product offerings.
- **Price Monitoring**: Track price changes and discounts over time.
- **Content Aggregation**: Compile product information for content creation.
- **Academic Research**: Analyze consumer behavior and product popularity.
- **Business Automation**: Automate data collection for business intelligence.
### Installation and Usage
1. Search for "Express Profile 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 containing detailed product information. Key fields include `title`, `rating`, `reviewCount`, `currentPrice`, `originalPrice`, `availableColors`, `availableSizes`, and more. This structured data allows for easy analysis and integration into various applications.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
}
]
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/express-profile-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/express-profile-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
}
]
}' |
apify call getdataforme/express-profile-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/express-profile-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Express Profile Scraper",
"description": "The Express Profile Scraper extracts detailed product data from Express.com, including titles, prices, ratings, and reviews....",
"version": "0.0",
"x-build-id": "aVKacK6ANpxROyGmA"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~express-profile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-express-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~express-profile-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-express-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~express-profile-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-express-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```