Gather and monitor public e-commerce data with ease and enhance your competitive intelligence and e-commerce market understanding.
Oxylabs’ solutions will help you:
Collect geo-specific product data
Bypass blocks and CAPTCHAs
Receive ready-to-use e-commerce data
E-commerce monitoring has established itself as a foundation of competitive intelligence for large and small businesses. Although to remain on top and have a constant flow of real-time information, we recommend checking out the various Oxylabs solutions
The ability to retrieve data from leading e-commerce marketplaces in real-time allows you to make informed profit-generating decisions.
Due to the high-quality Oxylabs solutions, your public data scraping jobs can be automated. This results in the ability to constantly track the minimum advertised price and any potential violations of it.
One of the many ways to take full advantage of our solutions is to monitor and collect large amounts of real-time pricing data without interruptions. Thus allowing you to create detailed dynamic pricing strategies.
As pricing, promotions, and product availability vary depending on the location, it becomes crucial to have tools targeting specific countries, states, or cities. This is where Oxylabs' E-Commerce Scraper API thrives, as it allows easy monitoring of public data specific to a particular location.
Oxylabs offers a substantial and high-quality proxy pool that enables you to securely monitor product pages from any e-commerce site while bypassing IP blocks and CAPTCHAs. This can be done in real-time and requires minimal effort from your end.
Ensure that the data from websites you monitor can be easily extracted and provided in a ready-to-use format, as this leads to significantly reduced time spent on cleaning and organizing the data after scraping.
E-Commerce Scraper API
Ensure copyright protection with a scraper designed to comb through e-commerce sites. Scrape any domain, including prominent marketplaces like Amazon, eBay, Etsy, Target, and many more.
Access all major locations for geo-targeting
AI-powered scraping and parsing technology
Get ready-to-use structured data
Residential Proxies
Access one of the largest Residential Proxy pools in the market while remaining completely anonymous. At the same time, gather public e-commerce data at scale.
Automatic Residential Proxy rotation
Geo-specific targeting
Avg. 99.95% uptime for uninterrupted use
Added benefits of E-Commerce Scraper API
Geo-targeting
Country or even postal code targeting
Bulk scraping
Scrape up to 1000 URLs per batch
Automated jobs
Schedule recurring scraping and parsing tasks
Added benefits of Residential Proxies
Unlimited concurrent sessions
Easily scale your scraping projects
Single backconnect entry
Access a continuously rotating proxy pool
State and city-level targeting
Get timely assistance whenever you need it
We offers several data gathering solutions for product monitoring – learn more to choose the ideal option for your business.
What is product monitoring?
It’s the ongoing process of tracking and evaluating the performance of a product or service over time. The primary features are usually defined as collecting and analyzing product usage data and customer feedback. Overall, this ensures that the product meets the expected quality standards and the customers' needs.
Since it enables managers to spot possible issues and areas for improvement, product monitoring is a crucial aspect of product management. By regularly monitoring the product's performance, these managers can make informed decisions about optimizing the product to meet the customers' needs and improve its overall quality and performance.
What is e-commerce data analysis?
E-commerce data analysis involves gathering, analyzing, and interpreting data about consumers' online buying behavior to spot patterns, trends, and other information, streamlining business processes and enhancing customer satisfaction.
E-commerce data analysis also involves working with a variety of data sources, such as website traffic data, customer transaction data, and social media metrics, to name a few. Some common examples of e-commerce data analysis include:
Sales performance analysis: Analyzing sales data to identify trends and patterns in product demand, popular purchasing times, and customer behaviors.
Customer segmentation analysis: Grouping customers into segments based on their purchasing habits, demographics, and other characteristics to identify targeted marketing and personalization opportunities.
Website optimization analysis: Examining website traffic and behavior data to identify areas for improvement in website design, navigation, and user experience.
Competitive analysis: Comparing e-commerce businesses to competitors to identify opportunities for differentiation and improvement.
What is included in product data?
Product data includes all the information about a product, its attributes, and its features necessary for selling, marketing, and managing the product throughout its lifecycle. The exact information included in product data may vary depending on the industry, the type of product, and the business needs. However, some common elements of product data include:
Product name: The name or title of the product.
Product description: A brief product description highlighting its key features and benefits.
Product category: The category or classification of the product (e.g., electronics, clothing, food).
Product specifications: The technical details or specifications of the product, such as its size, weight, dimensions, material, and other features.
Product images: Visual representations of the product, including photos, videos, and other visual assets.
Customer reviews and ratings: Feedback and ratings from customers who have purchased and used the product.
Scale up your business with Oxylabs®