Target Product Search Scraper
Pricing
$20.00/month + usage
Target Product Search Scraper
The Target.com Product Search Scraper extracts detailed product data from Target.com, including name, title, brand, description, price, rating score, etc., using search query URLs. This tool is perfect for market research, trend analysis, lead generation, and campaign planning.
Pricing
$20.00/month + usage
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0.0
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Developer
ecomscrape
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2
Bookmarked
75
Total users
7
Monthly active users
5 days ago
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Professional Target.com Product Data Extraction Solution
Target.com stands as one of America's largest retail chains, offering an extensive catalog of products across multiple categories from household essentials to fashion and electronics. With more than 1,800 stores and a comprehensive e-commerce platform, Target collects vast amounts of data about its products, pricing strategies, and customer interactions. For businesses, researchers, and analysts, accessing this wealth of product information manually would be time-consuming and inefficient. This is where Target.com scraping becomes invaluable, enabling automated extraction of critical retail data to support market analysis, competitive intelligence, and business decision-making.
Overview of Target.com Product Search Scraper
The Target.com Product Search Scraper is a specialized tool designed to systematically extract comprehensive product information from Target's e-commerce platform. This scraper navigates through Target's product listings and category pages, capturing detailed data points that are essential for retail analytics and market research.
The scraper offers robust functionality with built-in proxy support and retry mechanisms to ensure reliable data collection while respecting website policies. It's particularly valuable for e-commerce businesses, market researchers, price monitoring services, and retail analysts who need regular access to Target's product catalog data.
Target audiences include competitive intelligence teams, pricing strategists, inventory managers, market researchers, and data analysts working in retail, consumer goods, or e-commerce sectors. The tool serves both small businesses monitoring specific product categories and large enterprises requiring comprehensive market data.
Input and Output Specifications
Input Format
Example url 1: https://www.target.com/c/kitchen-dining-bestsellers/-/N-p74c6?sortBy=PriceHigh&moveTo=product-list-grid&Nao=696
Example url 2: https://www.target.com/c/cookware-kitchen-dining/-/N-5xts6
Example url 3: https://www.target.com/c/laptops-computers-office-electronics/hp/-/N-5xtf4Zp6y7m
Example Screenshot of product list by query page:

The scraper accepts a JSON configuration that defines collection parameters:
Scrape with Urls:
{"max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided."proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot."useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from},"max_items_per_url": 20,"ignore_url_failures": true,"urls": ["https://www.target.com/c/kitchen-dining-bestsellers/-/N-p74c6?sortBy=PriceHigh&moveTo=product-list-grid&Nao=696","https://www.target.com/c/cookware-kitchen-dining/-/N-5xts6","https://www.target.com/c/laptops-computers-office-electronics/hp/-/N-5xtf4Zp6y7m"]}
When you provide a list of URLs from search result pages for scraping, all options in the "scrape with search filters" section will be disabled. The system will only collect data from the URLs you specified, and the "scrape with urls" method will use the options listed below:
- ignore_url_failures: Continue scraping even if some URLs fail (true/false)
- urls: Target.com category or search result URLs to scrape (set to null when using keyword search)
Scrape with Filters options:
{"max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided."proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot."useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from},"max_items_per_url": 20, // Total page you want scrape"keyword": "dining dishes", // The search keyword to find product (e.g., "dining dishes" for dining dishes)"sort_by": "newest", // Sort products by options (Relevance,Featured,PriceLow,PriceHigh,RatingHigh,bestselling,newest)"page": 1, // The starting page number for search results}
When using search filters for scraping, you need to leave the urls field in the configuration empty (or set it to null) of "scrape with urls". The "scrape with search filters" method will use the options listed below:
- keyword: Search term to find products on Target.com (only for filter-based scraping)
- sort_by: Product sorting option (Relevance, Featured, PriceLow, PriceHigh, RatingHigh, bestselling, newest)
- page: Starting page number for pagination in search results
General options:
Here are the general options that apply to all scraping modes:
-
max_retries_per_url: Parameter sets the maximum number of retry attempts for each URL, ensuring robust data collection even when facing temporary network issues or server responses. Setting this to 2 provides a good balance between thoroughness and efficiency.
-
proxy settings: Essential for avoiding detection and regional data access
- useApifyProxy: Enables Apify's proxy service (true/false)
- apifyProxyGroups: Type of proxy to use (e.g., "RESIDENTIAL" for residential IPs)
- apifyProxyCountry: Country code for proxy location (e.g., "SG" for Singapore)
-
max_items_per_url: Parameter controls how many business listings are extracted from each search results page. Setting this to 20 provides a manageable batch size while allowing for comprehensive data collection across multiple pages.
Output:
You get the output from the Target.com Product Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.
[ // List of product information{"url": "https://www.target.com/c/kitchen-dining-bestsellers/-/N-p74c6","title": "Squared Straight Spoon - Room Essentials™: 18/0 Stainless Steel, Dishwasher-Safe, Silver, 6.78" Length, Dinner Spoon","description": {"bullet_descriptions": ["<B>Number of Pieces:</B> 1","<B>Overall Length:</B> 6.78 Inches","<B>Handle Material:</B> 18/0 Stainless Steel","<B>Service For:</B> 1","<B>Material:</B> 18/0 Stainless Steel","<B>Care & Cleaning:</B> Dishwasher-Safe"],"soft_bullets": {"bullets": ["Straight spoon","Made from stainless steel in silver hue","6.78in length","Rectangular handle","Dishwasher safe"]}},"primary_brand": {"canonical_url": "/b/room-essentials/-/N-5y3a8","linking_id": "5y3a8","name": "Room Essentials"},"tcin": "85189943","original_tcin": "85189943","desirability_cues": null,"promotions": [],"price": {"current_retail": 1.0,"formatted_current_price": "$1.00","formatted_current_price_type": "reg","reg_retail": 1.0,"location_id": 3991},"rating_score": 4.49,"total_reviews": 447,"aspects_rating_score": [{"id": "Value","label": "value","value": 3.76},{"id": "Quality","label": "quality","value": 3.35},{"id": "easyToClean_1","label": "easy to clean","value": 3.82},{"id": "Design","label": "design","value": 4.06}],"cart_add_on_threshold": 35.0,"is_limited_time_offer": false,"relationship_type": "Stand Alone","relationship_type_code": "SA","buy_url": "https://www.target.com/p/squared-straight-spoon-room-essentials-8482/-/A-85189943","images": {"primary_image_url": "https://target.scene7.com/is/image/Target/GUEST_03f28b10-5dd3-4f25-a2d3-a4ce9de85102","alternate_image_urls": ["https://target.scene7.com/is/image/Target/GUEST_ae81efad-7d10-48df-982d-c24bcb4a2b6c","https://target.scene7.com/is/image/Target/GUEST_199d147e-8ab6-461f-8ed0-d6c52d2ce1cc"]},"videos": null,"product_classification": {"item_type": {"name": "Spoons","type": "269161"}},"dpci": "200-07-0127","page": 30,"from_url": "https://www.target.com/c/kitchen-dining-bestsellers/-/N-p74c6?sortBy=PriceHigh&moveTo=product-list-grid&Nao=696"}, // ... Many other product details]
Output Format and Field Explanations
The scraper returns comprehensive product data in structured format with the following fields:
Core Product Information:
- URL: Direct product page link for reference and verification
- Title: Complete product name as displayed on Target.com
- Description: Detailed product description including features and specifications
- Primary Brand: Manufacturer or brand name for brand analysis
Target-Specific Identifiers:
- TCIN (Target.com Item Network): Target's unique 8-digit identifier system that originated from Amazon's ASIN when Amazon managed Target's online retail process
- Original TCIN: Base TCIN before any variations or updates
- DPCI (Department Class Item): Target's internal SKU system formatted as XXX-XX-XXXX, where the first three digits represent department, next two are class, and final four are item number
Marketing and Pricing Data:
- Desirability Cues: Marketing elements like "trending," "new," or "exclusive"
- Promotions: Active deals, discounts, and special offers
- Price: Current selling price with currency
- Is Limited Time Offer: Boolean indicating time-sensitive promotions
- Cart Add-On Threshold: Minimum purchase requirements for promotions
Customer Engagement Metrics:
- Rating Score: Average customer rating (typically 1-5 scale)
- Total Reviews: Number of customer reviews for popularity assessment
- Aspects Rating Score: Detailed ratings for specific product aspects
Product Relationships and Media:
- Relationship Type: Product variation relationships (size, color, etc.)
- Relationship Type Code: Numeric code for relationship classification
- Buy URL: Direct purchase link for conversion tracking
- Images: Product photography URLs for visual analysis
- Videos: Product demonstration or promotional videos
Classification Data:
- Product Classification: Category and subcategory assignments for market segmentation
This comprehensive data structure enables detailed market analysis, competitive pricing strategies, inventory planning, and consumer behavior insights.
Implementation Guide
Setup Process
- Configure proxy settings using residential proxies matching your target geographic region
- Choose your scraping method:
- URL-based scraping: Define your URL scope by selecting specific Target.com category or search pages. You can apply filters directly on the Target.com website, then copy the filtered URLs into your configuration
- Filter-based scraping: Leave the
urlsfield empty and configure search parameters programmatically using:keyword: Search term to find products (e.g., "dining dishes", "laptops")sort_by: Product sorting option (Relevance, Featured, PriceLow, PriceHigh, RatingHigh, bestselling, newest)page: Starting page number for pagination in search results
- Set collection limits with max_items_per_url to control data volume per page
- Implement retry logic to handle temporary access issues and ensure data completeness
Best Practices
- Use residential proxies to avoid detection and ensure consistent access
- Implement reasonable delays between requests to respect server resources
- Monitor TCIN and DPCI fields for unique product identification
- Regularly validate output data quality, especially pricing information
- Consider rate limiting during peak shopping periods
Common Challenges
Handle dynamic loading elements by ensuring complete page rendering before data extraction. Product availability changes frequently, so implement timestamp tracking for temporal analysis. Price fluctuations occur regularly, making real-time validation important for accuracy.
Business Applications and Benefits
The Target.com scraper delivers significant operational advantages across multiple business functions. E-commerce teams can monitor competitor pricing strategies and identify market opportunities. Retail analysts gain insights into product performance, seasonal trends, and customer preferences through review analysis.
Market research teams benefit from comprehensive product catalog data for industry analysis and consumer behavior studies. The automated nature of data collection saves substantial manual research time while ensuring consistent, up-to-date information for strategic decision-making.
Supply chain and inventory managers can track product availability, identify trending items, and optimize stock levels based on Target's performance metrics. Marketing teams leverage promotional data to understand competitive campaign strategies and market positioning.
Conclusion
Target.com's extensive product catalog represents a goldmine of retail intelligence that can drive informed business decisions. This scraper transforms manual data collection into an automated, scalable process that delivers comprehensive product insights. Whether you're conducting market research, monitoring competition, or analyzing consumer trends, systematic access to Target's product data provides the foundation for data-driven retail strategies.
Start leveraging Target.com's retail data today to gain competitive advantages in your market segment and make informed business decisions based on comprehensive product intelligence.
Related Actors
- Target.com Product Details Page Scraper: A specialized data extraction tool designed to harvest detailed product information from Target's extensive retail marketplace.
Your feedback
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