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🎯 Target Scraper

🚀 Pull product data from Target.com in minutes. Names, prices, ratings, descriptions, specifications. No API key.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per product · 🔍 Category + product URL inputs · 🚫 No auth required

Pull live product data from Target.com, the fourth-largest US retailer. The actor accepts a list of category or product URLs, walks the result pages, and returns one structured record per product ready for price intelligence, brand monitoring, marketplace research, or retail analytics.

Every run fetches data live so you get the current state of Target at run time. Records include the product name, brand, TCIN (Target's product ID), price, rating, review count, image, full description, specifications, availability, and a back-reference URL.

📋 What the Target Scraper does

• 🎯 Two input types. Category page URLs or direct product URLs.
• 💰 Pricing. Current price plus sale price where exposed.
• ⭐ Ratings. Average rating and review count.
• 🏷️ Brand and TCIN. Brand name and Target's internal TCIN ID.
• 📦 Availability. In-stock flag.
• 🖼️ Images. Primary product image URL.
• 📃 Full detail. Set includeDetails: true for description and specs.

The scraper walks Target's results, optionally fetches each product detail page, and pushes structured records to the dataset.

💡 Why it matters: Target has tens of thousands of SKUs but its catalog is JS-rendered and lacks bulk export. A live, structured pull beats manual scraping for price intelligence and brand monitoring.

🎬 Full Demo

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

⚙️ Input

Example 1. Cereal category list-view.

{
"startUrls":[{"url":"https://www.target.com/c/cereal-breakfast-grocery/-/N-5xt0g"}],
"maxItems":50
}

Example 2. Beauty category with full detail.

{
"startUrls":[{"url":"https://www.target.com/c/skin-care-beauty/-/N-4y5pf"}],
"includeDetails":true,
"maxItems":100
}

⚠️ Good to Know: Target requires residential proxies. Default proxyConfiguration uses the Apify pool. Toggle includeDetails: false for fastest runs.

📊 Output

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

🧾 Schema

📦 Sample records

1. Typical record (cereal product)

{
"tcin":"54321987",
"name":"Cheerios Cereal Family Size",
"brand":"General Mills",
"price":5.99,
"salePrice":4.99,
"currency":"USD",
"rating":4.7,
"reviewCount":1850,
"available":true,
"imageUrl":"https://target.scene7.com/abc/primary.jpg",
"description":"Whole grain oat cereal in a family-sized box.",
"specifications":{"weight":"18 oz","servings":"12"},
"category":"Cereal & Breakfast Grocery",
"productUrl":"https://www.target.com/p/cheerios-family-size/A-54321987",
"scrapedAt":"2026-05-09T12:00:00.000Z"
}

2. Beauty product

{
"tcin":"23456789",
"name":"CeraVe Moisturizing Cream",
"brand":"CeraVe",
"price":18.99,
"currency":"USD",
"rating":4.8,
"reviewCount":12500,
"available":true,
"imageUrl":"https://target.scene7.com/def/primary.jpg",
"category":"Skin Care",
"productUrl":"https://www.target.com/p/cerave-moisturizing-cream/A-23456789",
"scrapedAt":"2026-05-09T12:00:00.000Z"
}

3. Sparse record (out-of-stock product)

{
"tcin":"99999999",
"name":"Limited Edition Holiday Item",
"brand":"Target",
"price":null,
"currency":"USD",
"available":false,
"category":"Holiday",
"productUrl":"https://www.target.com/p/limited-holiday/A-99999999",
"scrapedAt":"2026-05-09T12:00:00.000Z"
}

✨ Why choose this Actor

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

📈 How it compares to alternatives

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

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Target Scraper page on the Apify Store.
3. 🎯 Set URLs. Paste category or product URLs into 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.

💼 Business use cases

🌟 Beyond business use cases

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

🔌 Automating Target 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.

❓ Frequently Asked Questions

🔌 Integrate with any app

Target 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.

🔗 Recommended Actors

• 🛒 Walmart Scraper - Walmart catalog with prices
• 🛒 Amazon Scraper - Amazon product listings
• 🛒 Costco Scraper - Costco catalog with prices
• 🐾 Chewy.com Scraper - Pet product listings
• 🛒 Walmart Grocery Scraper - Walmart grocery listings

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

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

⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Target 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.