Buy Product Price Comparison Dataset
Explore a sample dataset for retail product price comparison, featuring structured data from top online stores including product specs, brand, pricing, category, and more, perfect for competitive analysis, pricing intelligence, and e-commerce optimization.
Data Overview
Use Cases
APISCRAPY’s Product Price Comparison Dataset
| Zip | Store | Location | Logo | Cat. | Sub-cat | Product | Wt | Reg $ | Sale $ | Img URL | Page URL | UPC | Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 60074 | Palatine… | 1555 N R… |  | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Seasonal… | Winter… | Super We… | 8.8 oz | $7.38 | $0.97 | Image | Link | 00876… | 2024-01-12 |
| 60074 | Palatine… | 1555 N R… | | Candy | Choco… | Reese’s … | 1.4 oz | $1.32 | $0.98 | Image | Link | 03400… | 2024-01-12 |
50 States
Nationwide Coverage
1M+ Agents
Verified Agent Records
GDPR & HIPAA
Compliance-ready data.
2+ Years
Historical Data
Data Overview – Product price comparison Data
APISCRAPY’s Product Price Comparison Dataset is expertly curated to help businesses gain a competitive edge in the e-commerce and retail ecosystem. What sets this dataset apart is the depth, accuracy, and structure of information, designed specifically for use cases like dynamic pricing, product benchmarking, and market trend analysis.
Unlike generic product data dumps, APISCRAPY delivers granular, real-time data points such as SKUs, brand names, specifications, and zip-code-level availability—scraped directly from authoritative retail sources like Ace Hardware. We also preserve the complete category path (breadcrumbs) for seamless taxonomy mapping and incorporate discount and actual prices to support precise pricing analytics.
What makes our data even more powerful:
- Freshness guaranteed with daily or custom crawl frequencies.
- Verified URLs and status tracking, ensuring each product’s data is up-to-date and actionable.
- Standardized structure optimized for easy ingestion into pricing engines, analytics dashboards, and AI models.
Whether you’re building a product comparison platform, conducting competitor price analysis, or enhancing your catalog with enriched specs, APISCRAPY’s dataset delivers clean, consistent, and commercially useful data, right out of the box.
Get Data Now
APISCRAPY is an AI-driven web scraping and automation tool that converts any web data into ready-to-use data API. The tool is capable to extract data from websites, process data, automate workflows, classify data and integrate ready-to-consume data into database or deliver data in any desired format.
Get the Edge with Real-Time Pricing Data
Ready to power up your pricing strategy with high-quality, structured product data?
Whether you’re building a price tracker, running a retail analytics tool, or fueling a competitive intelligence engine—our dataset gives you the insights you need.
Get a free quote for your project. Reach out today.
Jyotish 
Chief Data Officer
Scalable Web Scraping Solution
Guaranteed Data Quality Assurance
Flexible Integrations for Workflow
Maximum Privacy for Your Data
Web scraping
$25* per website
Data Fields Included in the Product Price Comparison Data
Our Price Comparison Dataset offers comprehensive, structured product data perfect for competitive analysis, price tracking, and product monitoring. Below are the standard fields available in the dataset:
- Crawl Date – The exact date the data was scraped (e.g., 22-04-2025).
- Source Name – The eCommerce or retailer source (e.g., Ace Hardware).
- SKU ID – Unique stock-keeping unit identifier from the source.
- Product URL – Direct link to the product’s online listing.
- Breadcrumbs – Full navigational path showing product categorization.
- Category – The general classification (e.g., Tools).
- Sub-category – More specific segment (e.g., Power Tools).
- Product Name – Full product title, including size and features.
- Brand – Brand or manufacturer (e.g., Bosch).
- Discount Price – Current discounted price (if available).
- Actual Price – Original listed price.
- UPC – Universal Product Code, if provided.
- Specification – Detailed product specs: power, dimensions, accessories, etc.
- Zip Code – Store location or regional tag for localized pricing.
- Product Status – Availability status (e.g., Active, Out of Stock).
🔧 Note: This dataset is just a sample and can be fully customized to meet your specific needs — whether you’re focused on a particular product category, region, price range, or platform. Let us know your requirements, and we’ll tailor the dataset accordingly.
- Trusted by
Country Coverage
(4 Countries)
North America (2)
United States Of America
Canada
Australia (1)
Austraila
Europe (1)
United Kingdom
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
750+
Happy Clients & Growing
2500+
Projects delivered
12+
Years of Sharing & Caring
Top Use Cases Of Product Price Comparison Dataset
This dataset supports a wide range of use cases across industries such as e-commerce, analytics, retail tech, consumer behavior research, and more.
Competitive Price Monitoring
Continuously track and compare prices across top retailers and eCommerce platforms to identify how your competitors are pricing similar or identical products. This helps businesses stay informed on pricing trends, discount patterns, and promotional strategies that could impact market share.
Dynamic Pricing Strategy
Use the data to implement intelligent pricing models that react to market fluctuations in real-time. Whether it’s increasing prices when demand is high or reducing them to remain competitive, dynamic pricing powered by accurate data can boost revenue and improve inventory turnover.
Market Research & Product Trend Analysis
Analyze product categories, subcategories, and brand-wise pricing to understand consumer demand, seasonal shifts, and emerging product trends. This insight is invaluable for product development, merchandising, and marketing teams.
Retailer & Vendor Benchmarking
Evaluate how various retailers price the same SKU and determine where your brand or product stands in the competitive landscape. This also supports negotiation with suppliers and distribution partners by showcasing data-driven pricing performance.
Product Feed Optimization for Digital Marketing
Clean, structured, and enriched data, such as specifications, actual/discounted prices, and brand attributes, can significantly improve the performance of product ads on platforms like Google Shopping, Amazon Ads, and affiliate networks.
Ad Targeting & SEO Strategy
Extract real customer language, pain points, and keyword-rich content from titles, reviews, and descriptions. Fuel your PPC campaigns, organic SEO, and content marketing strategy with keyword data that reflects actual buyer intent.
MAP (Minimum Advertised Price) Compliance Monitoring
Brands can use this data to ensure their products are not being underpriced by unauthorized resellers, which protects brand equity and maintains fair market standards.
Inventory & Stock-Level Insights
By analyzing product availability and status (active/inactive), businesses can identify inventory gaps in the market or detect overstock scenarios to plan better logistics and procurement strategies.
AI-Powered Recommendation Engines & Price Prediction Models
Leverage structured specifications, product attributes, and price history to train machine learning models for smart recommendation systems, customer segmentation, or even predictive pricing algorithms.
AI-Powered Product Price Comparison Dataset
Unlock powerful insights by leveraging AI on our structured product pricing dataset. Here’s how AI enhances the value of this data:
01.
Train AI models to automatically adjust your product prices based on competitor pricing, stock levels, demand signals, and market trends — maximizing profit while staying competitive.
02.
Use historical and real-time pricing data to forecast future price movements, promotional windows, and customer purchase behavior, enabling smarter planning and inventory decisions.
03.
AI can identify and match identical or similar products across platforms (even with slight name or spec variations), making it easier to aggregate and compare offerings accurately.
Easy Integration
Oracle
MySQL
MS SQL Server
PostgreSQL
Microsoft Access
Redis
MongoDB
Snowflake
Elastic search
IBM Db2
Sqlite
Cassandra
Databricks
Splunk
Azure SQL
Apache Hive
Google BigQuery
Neo4j
Data Listing Plan Comparison Table
The Data Listing Plan Comparison Table provides a concise overview of APISCRAPY’s available plans, allowing you to easily compare features, pricing, and benefits. It highlights key aspects such as data entries, update frequency, and support, helping you choose the plan that best fits your needs.
| Data Fields | Basic Plan | Premium Plan |
| Access to Core Data Fields | ❌ | |
| Advanced Data Fields | ❌ | |
| Contact/Email/Phone Data | ❌ | |
| Pricing Insights / Market Trends | ❌ | |
| Custom Field Requests | ❌ | |
| Real-Time Data Updates | ||
| Historical Data Access | ❌ | |
| API Access | ||
| Data Filtering & Query Options | ❌ | |
| Data Freshness | Weekly Updates | Daily or Real-Time |
| Priority Support | ❌ | |
| Usage Analytics Dashboard | ❌ | |
| SLA & Data Accuracy Guarantee | ❌ | |
| Data Access Quota (Searches) | 2,000 searches/month | Unlimited Searches |
| CRM Enrichment | Manual Only | Automatic Enrichment |
| CRM Filters / Integrations | Basic Filters Only | Advanced CRM Filtering |
| Dedicated Account Manager | ❌ |
Data Delivery Options
Delivery Methods
How the data is transferred or accessed by the user.
| S3 Bucket |
| SFTP |
| UI Export |
| REST API |
| SOAP API |
| Streaming API |
| Feed API |
| Google Cloud Storage (GCS) |
| Azure Blob Storage |
| Google Drive / Dropbox |
Update Frequency
How often the data is updated or made available.
| secondly |
| minutely |
| hourly |
| daily |
| weekly |
| monthly |
| quarterly |
| yearly |
| real-time |
| on-demand |
| Custom Schedule |
Data Formats
The file or structural format in which data is provided.
| .bin |
| .json |
| .xml |
| .csv |
| .xls |
| .sql |
| .txt |
| HTML (for human-readable previews) |
| PDF reports |
| ZIP (compressed packages) |
Industries Covered by Product Price Comparison Data
APISCRAPY’s Product Price Comparison Data is not limited to one niche; it powers multiple industries with deep, structured insights. From product analytics to personalized experiences, the applications are broad, and the data is fully customizable to suit your business model.
E-commerce & Online Retail
For tracking competitor pricing, optimizing listings, and implementing dynamic pricing strategies to increase conversions.
Consumer Electronics
To compare high-ticket items across platforms, monitor pricing fluctuations, and manage margins on gadgets and appliances.
Home Improvement & Hardware
Helps retailers and manufacturers analyze tool and equipment pricing, availability, and promotional trends.
Fashion & Apparel
Brands and marketplaces use it to benchmark prices, understand discount cycles, and optimize seasonal pricing.
FMCG (Fast-Moving Consumer Goods)
Enables competitive intelligence on everyday consumer goods to ensure optimal shelf pricing and promotions.
Automotive Accessories
Useful for pricing analysis across dealers and platforms for products like tools, batteries, and parts.
Marketplace Aggregators
Essential for sites that compare products and prices from multiple sellers to ensure accuracy and up-to-date listings.
Data Analytics & Research Firms
Use the data to build pricing intelligence dashboards, conduct industry research, and create consumer behavior reports.
Digital Advertising & Affiliate Marketing
To optimize product feeds for ads or content, ensuring accurate pricing and maximizing affiliate revenue.
Manufacturing & Distribution
Helps monitor how products are priced downstream, ensuring retailers adhere to pricing guidelines and optimizing B2B strategies.
Retail Auditing Services
For auditing how partner or third-party resellers are pricing products online across various regions and platforms.
AI & Machine Learning Companies
Use structured pricing and product data to train models for recommendation systems, price prediction, and consumer behavior analysis.
Our assurance to security & quality
Why You Should Go With APISCRAPY
Experience
12+ years
of sharing and caring.
Projects
2500+ Projects
delivered with a smile.
Retention
98%
engagement success rate.
Quick
Scale-up
as per your requirement.
Certified
ISO 9001 & 27001
data quality & security.
Clients
750+
served across industries.
Compliant with the Highest Data Privacy Standards
APISCRAPY is proudly certified by the Ethical Web Data Collection Initiatives. We collect only publicly available, business-related information—never private or sensitive data. We strictly avoid scraping content behind login-protected or restricted areas.
Client Testimonials
Apiscrapy has truly revolutionized the way we approach data annotation. Their commitment to accuracy, scalability, customization, and cost-efficiency makes them an invaluable partner for any organization working with large datasets.
Our preferred partner for data for the last 4+ years. We have been working together on variety of data solutions and our experience is great.
An excellent pool of data engineers on-demand helped us. Professionals with pro-active management team is appreciable.
Does this product fit your data needs?
Get in touch with our team to start unlocking your data solutions.
FAQs: Walmart Product Data for Retail Intelligence & Analysis
Where can I buy verified doctor and healthcare professional datasets in the United States?
You can purchase accurate and verified U.S. doctor datasets from API Scrapy, which include specialty, license info, contact details, hospital affiliations, and more—ideal for marketing, recruitment, or research purposes.
How can I get a healthcare provider database for California or New York-based doctors?
Our datasets can be filtered by state or region, including specific locations like California, New York, Texas, or Florida. You can get fully customized lists of doctors and healthcare professionals practicing in your target regions.
Is there a customizable doctor dataset for medical marketing campaigns in the U.S.?
Yes, our U.S. healthcare provider datasets are fully customizable based on specialty, region, and practice type—perfect for targeted medical marketing and outreach campaigns.
What is the best source to get contact details of doctors for pharmaceutical outreach?
APIScrapy offers a reliable doctor contact database with verified phone numbers, emails, hospital affiliations, and board certifications—ideal for pharma companies launching new drugs or conducting outreach.
Can I download a sample doctor dataset for free before purchasing?
Yes, we provide free sample datasets so you can evaluate the quality, fields, and depth of our healthcare professional data before making a purchase decision.
More from APISCRAPY
Buy U.S. Criminal Court Data
Gain a strategic advantage with APISCRAPY's comprehensive U.S. Criminal Court Data. Our dataset provides meticulously structured information on...
Buy U.S. Federal Laws Dataset
Discover, analyze, and apply the most crucial U.S. federal laws with our meticulously structured dataset. This resource is essential for legal...
Buy NFL Sports Data Set: Real-Time & Historical Football Data
Dive deep into the world of American football with our meticulously curated NFL Sports Data Set. This powerful resource provides structured,...
Unlock Helpful Resources With Our Latest Blogs
Mastering Real Estate Data – The Ultimate Guide to APISCRAPY’s Free Zillow Scraper
Data, data, data. It’s everywhere, and it’s changing how industries operate, bringing fresh insights and sharper decision-making.
How APISCRAPY’s Free Web Scraping Tools Helped Forbes AI-50 Companies?
Covid-19 had a terrible impact on many businesses, yet it only served to increase the global adoption of artificial intelligence and automation.
Are You Unlocking Full Potential Of Free Zillow Scraper?
The real estate industry was one of the first non-tech businesses to build its presence on the internet. Even before Google, dial-up consumers were eagerly
Leverage APISCRAPY’s Data-as-a-service [Daas] For Web Scraping
In this modern era of business growth and competition, ‘Data’ plays a vital role. Internet is now available to billions of people throughout the world.