# Costco Scraper (`jungle_synthesizer/costco-scraper`) Actor

Extract product data from Costco.com product pages: prices, member prices, descriptions, ratings, reviews, specs, and availability. Provide product detail (/p/...) URLs. Handles bot protection automatically.

- **URL**: https://apify.com/jungle\_synthesizer/costco-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Scraper

Extract product data from Costco.com — prices, member prices, descriptions, ratings, images, and availability. Paste in product detail page URLs.

### What it does

Point it at Costco.com product pages and it returns structured product records: item number, title, regular price, member price, description, rating, review count, availability, images, and category breadcrumb.

Bright Data Web Unlocker handles Costco's Akamai bot protection server-side so you don't have to.

### Inputs

| Field | Type | Description |
|-------|------|-------------|
| `startUrls` | array | Costco product detail page URLs (`https://www.costco.com/p/-/<slug>/<itemNumber>`). Category/browse URLs are accepted as a best effort. |
| `maxItems` | integer | Cap on total records (default: 100) |

If `startUrls` is empty the actor exits with an error. Keyword search is not supported — Costco's search endpoint is not reachable through the unblocker.

### Output

Each record in the dataset:

```json
{
  "item_number": "4000140441",
  "product_url": "https://www.costco.com/p/-/kutano-commercial-1-door-merchandiser-refrigerator/4000140441",
  "title": "Kutano Commercial 1-Door Merchandiser Refrigerator",
  "price": "$1849.99",
  "member_price": "",
  "description": "Kutano Commercial 1-Door Merchandiser Refrigerator, Stylish Black Laminated Vinyl...",
  "rating": "4.09",
  "review_count": "",
  "availability": "",
  "images": "https://bfasset.costco-static.com/...",
  "specifications": "",
  "categories": "",
  "scraped_at": "2026-06-24T19:37:21.596Z"
}
```

### How it works

- Product detail URLs (`/p/-/<slug>/<itemNumber>`) go straight to the product handler, which parses Costco's Next.js RSC payload for the product data.
- Category/collection URLs are treated as listing pages: product links are collected from the rendered HTML and each product page is then fetched.

Bot protection is handled transparently via Bright Data Web Unlocker — no proxy configuration, no CapSolver, no Playwright.

### Limitations

- Member pricing is only populated when Costco exposes it without authentication.
- Specifications table extraction depends on the page rendering consistently; some product types (electronics, tires) use non-standard markup.
- Keyword search is not supported. Provide product detail URLs directly.
- Category pages are large and slow through the unblocker, and link density varies by category — direct product URLs are the most reliable input.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

Please describe how you plan to use the data extracted by this crawler.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

Provide your email address so we can get in touch with you.

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

Costco product detail page URLs to scrape (e.g. https://www.costco.com/p/-/<slug>/<itemNumber>). Category/browse URLs are also accepted as a best effort, but keyword search is not supported.

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

Maximum number of product records to scrape.

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "startUrls": [
    "https://www.costco.com/p/-/kutano-commercial-1-door-merchandiser-refrigerator/4000140441"
  ],
  "maxItems": 5
}
```

# 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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "startUrls": [
        "https://www.costco.com/p/-/kutano-commercial-1-door-merchandiser-refrigerator/4000140441"
    ],
    "maxItems": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/costco-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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "startUrls": ["https://www.costco.com/p/-/kutano-commercial-1-door-merchandiser-refrigerator/4000140441"],
    "maxItems": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/costco-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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "startUrls": [
    "https://www.costco.com/p/-/kutano-commercial-1-door-merchandiser-refrigerator/4000140441"
  ],
  "maxItems": 5
}' |
apify call jungle_synthesizer/costco-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/knlCjLdouyVsgYI3S/builds/dLbuVs6mg1eZRX0xu/openapi.json