# Costco Product Search Scraper (`powerai/costco-product-search-scraper`) Actor

Search Costco products by keyword across US and Canada sites. Extract titles, prices, brands, images, and product URLs in structured JSON.

- **URL**: https://apify.com/powerai/costco-product-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 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 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

## Costco Product Search Scraper

Search Costco by keyword across US and/or Canada sites and extract product listings — titles, prices, brands, images, and product URLs — ready for price monitoring, catalog research, or deal tracking.

### ✨ Key Features

- 🔎 Keyword search on **Costco.com** and **Costco.ca**
- 🌍 Multi-select Costco country sites in one run
- 💰 Product **price** and **currency**
- 🏷️ **Title**, **brand**, and **image**
- 🔗 Direct **product URL**
- 📋 Structured JSON output, streamed while the run is in progress

### 💪 Why Choose This Actor?

- **Focused**: Costco product search only — no URL hunting required
- **Simple**: Keywords, Costco sites, and a max product count
- **Structured**: Renamed, integration-friendly field names
- **Controllable**: Cap results with `maxProducts`

### 🎯 Perfect For

- 💵 Price monitoring and warehouse-club deal tracking
- 📊 Product discovery and retail market research
- 🏪 Competitor catalog comparison
- 🤖 Enrichment pipelines and automation

### 📝 Input Requirements

- `keywords` (required): One or more Costco search keywords
- `costcoSites` (required): One or more Costco sites (`www.costco.com`, `www.costco.ca`)
- `maxProducts` (optional): Maximum products to return across all keywords and sites

#### Input Example

```json
{
  "keywords": ["air fryer"],
  "costcoSites": ["www.costco.com", "www.costco.ca"],
  "maxProducts": 50
}
```

#### Output Example

```json
{
  "productTitle": "Ninja Air Fryer Pro 4-in-1",
  "productUrl": "https://www.costco.com/...",
  "price": 89.99,
  "currency": "USD",
  "brandName": "Ninja",
  "imageUrl": "https://bfasset.costco-static.com/...",
  "marketplace": "www.costco.com",
  "searchQuery": "air fryer",
  "scrapedAt": "2026-07-30T08:00:00.000Z"
}
```

### 🚀 How to Use

1. Add one or more search keywords
2. Select one or more Costco marketplaces
3. Set `maxProducts`
4. Click **Start**
5. Download results as JSON, CSV, Excel, or HTML

### 📌 Notes

- Supported sites: Costco United States and Costco Canada
- Multiple keywords and sites share the same `maxProducts` budget
- Output fields vary by listing richness — unused fields may be `null`

# Actor input Schema

## `keywords` (type: `array`):

One or more Costco search keywords, e.g. air fryer or paper towels.

## `costcoSites` (type: `array`):

Select one or more Costco country sites to search.

## `maxProducts` (type: `integer`):

Maximum number of products to return across all keywords and selected Costco sites.

## Actor input object example

```json
{
  "keywords": [
    "air fryer"
  ],
  "costcoSites": [
    "www.costco.com"
  ],
  "maxProducts": 50
}
```

# 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 = {
    "keywords": [
        "air fryer"
    ],
    "costcoSites": [
        "www.costco.com"
    ],
    "maxProducts": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/costco-product-search-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 = {
    "keywords": ["air fryer"],
    "costcoSites": ["www.costco.com"],
    "maxProducts": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/costco-product-search-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 '{
  "keywords": [
    "air fryer"
  ],
  "costcoSites": [
    "www.costco.com"
  ],
  "maxProducts": 50
}' |
apify call powerai/costco-product-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=powerai/costco-product-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/8uQlVkwSgaOPhHdSh/builds/gsXxeAvO7tjSUi2Q1/openapi.json