🛒 Costco Scraper

🚀 Pull product listings from Costco.com in minutes. Names, prices, ratings, descriptions, specifications. No login, no API key.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per product · 🔍 Search + category filters · 🚫 No auth required

Pull structured records from Costco Product — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/costco-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/costco-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: maxItems (integer, default 10), startUrls (array), searchQuery (string, default "smart watch"), category (string), proxyConfiguration (object, default {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~costco-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Pull live product data from Costco.com, the largest US warehouse club retailer. The actor accepts a search query plus optional category filter (or direct URLs), walks the result pages, and returns one structured record per product ready for price intelligence, brand benchmarking, marketplace analysis, or retail competitive monitoring.

Every run fetches data live so you get the current state of Costco at run time. Records include the product name, member price, online-only price, rating, review count, brand, item number, full description, image, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Price intelligence teams	Track Costco prices vs other channels
Brand and trade marketing	Monitor product placement and pricing
Marketplace sellers	Benchmark Costco assortment
E-commerce analysts	Build US retail dashboards
Procurement	Validate supplier pricing on Costco
Researchers	Study warehouse-club retail dynamics

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📋 What the Costco Scraper does

• 🔍 Keyword search. Search any Costco keyword (e.g. smart watch, dog food).
• 🏷️ Category filter. Optional category filter (electronics, appliances, furniture, etc.).
• 🔗 Direct URLs. Pass Costco product or category URLs for direct scraping.
• 💰 Pricing. Member price plus online-only price.
• ⭐ Ratings. Average rating and review count.
• 📦 Product detail. Brand, item number, specifications, description.

The scraper accepts either a search keyword + category combination OR direct Costco URLs. It walks Costco's results, fetches each product card, and pushes structured records to the dataset.

💡 Why it matters: Costco is one of the largest US retailers but its product catalog is JS-rendered and lacks bulk export. A live, structured pull beats manual scraping for price intelligence and brand monitoring.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
startUrls	array	Start URLs	Direct Costco product or category URLs. Mutually exclusive with search.
searchQuery	string	Search Query	Free-text product keyword.
category	string	Category	Optional category filter (e.g. electronics, appliances, furniture).
proxyConfiguration	object	Proxy	Proxy settings. Defaults to Apify residential pool.

Example 1. Smart watches.

{
  "searchQuery": "smart watch",
  "maxItems": 50
}

Example 2. Direct URL for Costco's electronics category.

{
  "startUrls": [
    "https://www.costco.com/electronics.html"
  ],
  "maxItems": 100
}

⚠️ Good to Know: Costco requires residential proxies. The default proxyConfiguration uses Apify's pool which works out of the box.

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📊 Output

The dataset returns one structured record per product. Each record carries identifiers, name, brand, member price, online-only price, rating, item number, image, description, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 itemNumber	string	1234567
🛍️ name	string	Apple Watch Series 9 GPS 45mm
🏷️ brand	string	Apple
💰 memberPrice	number	429.99
💵 onlinePrice	number or null	409.99
💱 currency	string	USD
⭐ rating	number	4.8
💬 reviewCount	number	2150
📦 available	boolean	true
🏷️ category	string	Electronics
🖼️ imageUrl	string (url)	https://mobileimages.costco.com/.../primary.jpg
📝 description	string	Crash detection, advanced sensors, ECG app...
📐 specifications	object	{"caseSize":"45mm","color":"Midnight"}
🔗 productUrl	string (url)	https://www.costco.com/.../product.product.1234567.html
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Typical record (smart watch)

{
  "itemNumber": "1234567",
  "name": "Apple Watch Series 9 GPS 45mm",
  "brand": "Apple",
  "memberPrice": 429.99,
  "onlinePrice": 409.99,
  "currency": "USD",
  "rating": 4.8,
  "reviewCount": 2150,
  "available": true,
  "category": "Electronics",
  "imageUrl": "https://mobileimages.costco.com/abc/primary.jpg",
  "description": "Crash detection, advanced sensors, ECG app, and always-on display.",
  "specifications": {
    "caseSize": "45mm",
    "color": "Midnight",
    "connectivity": "GPS"
  },
  "productUrl": "https://www.costco.com/apple-watch-series-9-gps.product.1234567.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Bulk grocery item

{
  "itemNumber": "9876543",
  "name": "Kirkland Signature Organic Almond Butter, 27 oz",
  "brand": "Kirkland Signature",
  "memberPrice": 11.49,
  "onlinePrice": null,
  "currency": "USD",
  "rating": 4.7,
  "reviewCount": 850,
  "available": true,
  "category": "Grocery",
  "productUrl": "https://www.costco.com/kirkland-organic-almond-butter.product.9876543.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Out-of-stock item (sparse fields)

{
  "itemNumber": "5555555",
  "name": "Limited Edition Holiday Gift Set",
  "brand": "Kirkland Signature",
  "memberPrice": null,
  "onlinePrice": null,
  "currency": "USD",
  "available": false,
  "category": "Holiday",
  "productUrl": "https://www.costco.com/limited-edition-gift.product.5555555.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Costco.com so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects Costco as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured retail data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Costco Scraper (this Actor)	$5 free credit, then pay-per-use	Full Costco catalog	Live per run	Search, category, direct URL	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid retail-intel platforms	$$$ monthly	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Costco Scraper page on the Apify Store.
3. 🎯 Set search. Either set searchQuery + category or paste startUrls, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Price intelligence Track Costco prices vs Amazon, Walmart, retailer DTC Monitor member-price vs online-only price gaps Build comp sets across SKUs and brands Alert on competitor undercutting	🏢 Brand and trade marketing Monitor product placement on Costco Track Kirkland Signature private-label assortment Build assortment dashboards by category Spot grey-market resellers
🎯 Marketplace strategy Identify undersold brand SKUs Build inventory feeds for cross-listing Track listing-count trends per category Power BD outreach to verified brands	🛠️ Engineering and product Prototype warehouse-club data products without owning a crawler Replace fragile in-house Costco scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Costco Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily price snapshots. Combine with the Apify dataset diff tools to alert on price changes between runs.

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❓ Frequently Asked Questions

🔌 Integrate with any app

Costco Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 🛒 Amazon Scraper - Amazon product listings with prices and reviews
• 🛒 Walmart Scraper - Walmart catalog with prices
• 🐾 Chewy.com Scraper - Pet product listings
• 🛒 The Restaurant Warehouse Scraper - Restaurant supply listings
• 🏠 Lowe's Scraper - Lowe's home improvement catalog

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Costco Wholesale Corporation. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.