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Scalable web, app & AI-powered extraction. 99.9% accuracy.
All Services → Core Scraping Services
Top Global Platforms
Pricing & Promotions
Brand & Intelligence
Digital Shelf & Search
Assortment For RetailersWhich solution fits?
Talk to Expert Marketplace Scrapers
Data APIs Universal APIs Delivery & SDKsReady to integrate?
Start Free Trial Knowledge Center
Guides & Playbooks
Downloads & Tools
Trust & CompanyProduct matching is among the essential fundamentals of competitive data. With more profound learning technologies, the "product mapping" procedure includes their characteristics, locates items, costing, and other information across different resources. You can get Product Data Matching Scraping Services in the USA, UK, UAE, and Spain with product attributes like title, description, and images with Product Title Matching, Pricing Comparison, and Image Similarities.
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Businesses get motivated to provide cutting-edge solutions to client problems by expanding the e-commerce trends. As per the newest Statista statistics, it is projected that 1.46 billion people have made digital acquisitions in 2015. This number has increased to 2.14 billion during 2021. In 2022, e-commerce is projected to characterize 21% of retail sales worldwide, up from 10% merely five years before. As per predictions, the online market would account for about 25% of retail sales globally by 2025. To offer more advanced services, they include AI or ML tools.
Presently, merchants have become involved in the product matching problem of e-commerce. They use a product mapping system to improve their prices and make that more efficient.
The title parallel section utilizes machine learning for matching products by gauging how similar their titles are. The method can quickly recognize matching titles even while the comparison strings are extremely different.
It is familiar to get similar products provided at roughly similar prices. The fact is that one offer standing out may specify that the product is exclusive. It is legal to apply opposite of the rule. The price distribution analysis recognizes similar offerings.
The same fundamental idea inspires image similarities and title similarities. Analyzing visual similarities is used for finding similar products. Image similarities is most problematic when there aren't sufficient identified data on the products. Moreover, the viewpoint, brightness, color temperature, and other characteristics of the similar product photos might differ.
The technology begins with different data analysis algorithms and measures the product discrepancy degrees. The product category similarity is the base for any product-matching algorithms. There are small variations between matching goods. Brands, color, dimension, model, quality, etc. are some of the examples.
Closely matching goods are those having same attributes.
Similar matching goods are almost equal products but vary to some extent from one another because of some factors, like color.
Product mapping comprises product matching via manual, hybrid, and automation procedures. At Actowiz Solutions, we have set a hybrid automation procedure and manual data extraction and mapping to get the improved pricing or listing.
There are no limits at Actowiz for total request to be served or number of records to get scraped.
Actowiz platform gets configured in line with client’s precise requirements at all levels.
We proudly serve small, medium, and large companies to Fortune 500 companies having ample amount of experience.
We provide guaranteed 99.9% accuracy consistently in web data scraping quality data.
We utilize multiple proxies, make suitable delays, as well as solves Captcha in actual time in web scraping and data extraction.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
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50+ Countries ServedFrom Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
Product Matching
Attribute Tagging
Content Optimization
Sentiment Analysis
Prompt-Based Reporting
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
How US hotels and hospitality brands monitor competitor rates on Booking.com and Expedia. Automated travel price monitoring for RevPAR optimization.
See how our 2026 7-Eleven USA store location data scraping helped a retail brand optimize expansion planning, identify gaps, and boost market reach.
Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.
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