# Macy's Scraper (`trudax/actor-macys-scraper`) Actor
Macy's web scraper to crawl product information including price and sale price, color, and images. Extract all data in a dataset in structured formats.
- **URL**: https://apify.com/trudax/actor-macys-scraper.md
- **Developed by:** [Trudax](https://apify.com/trudax) (community)
- **Categories:** E-commerce
- **Stats:** 119 total users, 3 monthly users, 0.0% runs succeeded, 5 bookmarks
- **User rating**: No ratings yet
## Pricing
$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
### What does Macy's Scraper do?
Macy's Scraper will enable you to get more data from Macy's website than the official Macy's API.
Macy's Scraper can scrape:
- product description
- price
- color
- images
### Why scrape Macy's?
Macy's website has an average of 100 million visits per month and is a great source of data for the fashion industry.
Here are just some of the ways you could use that data:
- market research: see what products are on the market and analyze them to discover how to market your own products.
- price monitoring: find the perfect deal by regularly extracting prices.
- product research: if you are waiting for a product to be available again, scrape regularly to be the first to know as soon as you can purchase it.
If you would like more inspiration on how scraping Macy's website could help your business or organization, check out our [e-commerce and retail industry page](https://apify.com/industries/ecommerce-and-retail).
### How to scrape Macy's
It's easy to scrape the Macy's website with Macy's Scraper. Just follow these few steps and you'll get your data in a few minutes.
1. Click on Try for free.
2. Enter the keywords or search terms you want to scrape.
3. Click on Run.
4. When Macy's Scraper has finished, preview or download your data from the Dataset tab.
### How much will it cost to scrape Macy's?
Apify gives you with $5 free usage credits every month on the Apify Free plan. You can get 20,000 results per month from Macy's Scraper for that, so those 20,000 results will be completely free!
But if you need to get more data regularly from Macy's, you should grab an [Apify subscription](https://apify.com/pricing). We recommend our $49/month Personal plan - you can get up to 200,000 every month with the $49 monthly plan!
Or get 2 million results for $499 with the Team plan - wow!
Note that this actor also subtracts a small monthly rental fee from your usage credits to support the developer.
### Results
Once the scraper's status switches to "Succeeded", you can see your results in the Dataset tab. You can preview them or download them in HTML, JSON, CSV, Excel, XML or RSS formats.
### Is it legal to scrape Macy's?
Web scraping is legal. We recommend that you read our blog post: [is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)
### Need to find product pairs between Macy's and another online shop?
Try our [AI Product Matcher](https://apify.com/equidem/ai-product-matcher). This AI model was created to compare items from different web stores, identifying exact matches and comparing real-time data obtained via web scraping. With the AI Product Matcher, you can use scraped product data to monitor product matches across the industry, implement dynamic pricing for your website, replace or complement manual mapping, and obtain realistic estimates against your competition for upcoming promo campaigns.
Most importantly, it is relatively easy to get started with (just follow [this Product Matcher guide](https://blog.apify.com/product-matching-ai-pricing-intelligence-web-scraping/)), and it can check 1,000 pairs of products for just $10.
# Actor input Schema
## `startUrls` (type: `array`):
If you already have URL(s) of page(s) you wish to scrape, you can set them here.
This field is optional, but this field or 'Search' must be provided (or both)
## `maxItems` (type: `integer`):
How many products should be processed
## `search` (type: `string`):
Here you can provide a search query which will be used to search Macys for products.
This field is optional, but this field or 'Start Macys page URLs' must be provided (or both)
## `proxy` (type: `object`):
Proxy is required to run this actor! Either use Apify proxy, or provide your own proxy servers.
## `debugMode` (type: `boolean`):
Enable debug messages
## Actor input object example
```json
{
"maxItems": 5,
"search": "Jeans",
"proxy": {
"useApifyProxy": true,
"apifyProxyCountry": "US"
},
"debugMode": false
}
````
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 5,
"search": "Jeans",
"proxy": {
"useApifyProxy": true,
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("trudax/actor-macys-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 5,
"search": "Jeans",
"proxy": {
"useApifyProxy": True,
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("trudax/actor-macys-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 5,
"search": "Jeans",
"proxy": {
"useApifyProxy": true,
"apifyProxyCountry": "US"
}
}' |
apify call trudax/actor-macys-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=trudax/actor-macys-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Macy's Scraper",
"description": "Macy's web scraper to crawl product information including price and sale price, color, and images. Extract all data in a dataset in structured formats.",
"version": "2.0",
"x-build-id": "iVGIa1X5CR7UyyshD"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/trudax~actor-macys-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-trudax-actor-macys-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/trudax~actor-macys-scraper/runs": {
"post": {
"operationId": "runs-sync-trudax-actor-macys-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/trudax~actor-macys-scraper/run-sync": {
"post": {
"operationId": "run-sync-trudax-actor-macys-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"proxy"
],
"properties": {
"startUrls": {
"title": "Start URLs",
"uniqueItems": true,
"type": "array",
"description": "If you already have URL(s) of page(s) you wish to scrape, you can set them here.
This field is optional, but this field or 'Search' must be provided (or both)",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxItems": {
"title": "Search results limit",
"type": "integer",
"description": "How many products should be processed"
},
"search": {
"title": "Search",
"type": "string",
"description": "Here you can provide a search query which will be used to search Macys for products.
This field is optional, but this field or 'Start Macys page URLs' must be provided (or both)"
},
"proxy": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy is required to run this actor! Either use Apify proxy, or provide your own proxy servers."
},
"debugMode": {
"title": "Debug",
"type": "boolean",
"description": "Enable debug messages",
"default": false
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```