Oxylabs vs. Extralt

Oxylabs is a web intelligence and data collection platform that provides enterprise-grade proxy networks, web scraping infrastructure, browser automation tools, and ready-made datasets. The platform enables organizations to collect publicly available web information for market research, competitive intelligence, pricing analysis, and other data-driven business activities. Its proxy network includes more than 177 million IP addresses across 195 countries, supporting geographically distributed data access requirements. Available proxy types include residential, ISP, mobile, datacenter, and dedicated datacenter proxies for different browsing and extraction workflows. Web Unblocker uses AI-driven technology to handle access challenges presented by websites with sophisticated anti-bot protections. The Web Scraper API manages large-scale data extraction workflows, helping organizations retrieve website information without maintaining extensive custom scraping infrastructure. Agent Browser supports automated browsing and data collection from dynamic websites that require browser interaction and advanced access handling. Oxylabs AI Studio provides no-code data extraction capabilities for users who want to collect website information without developing custom scraping scripts. The platform also offers ready-made datasets containing structured information from industries such as ecommerce and real estate. Oxylabs emphasizes ethical data collection practices, compliance-focused infrastructure, and enterprise support for organizations managing web intelligence operations. The company serves more than 4,000 customers worldwide, including Fortune 500 organizations, and provides 24/7 customer assistance for its proxy and data collection services.

A considerable portion of ecommerce data is trapped within proprietary platforms or selectively filtered through merchant feeds, causing sellers to exhibit only what they wish to highlight; in contrast, Extralt grants access to the raw data that actually exists. Our system captures structured product information from any ecommerce site, normalizes it into a consistent format, and detects identical products sold by various vendors. This operation unfolds in four key stages: Extract, which scrapes multiple websites to create standardized structured data; Enrich, which converts product information into English, categorizes it using the Shopify taxonomy, emphasizes specific characteristics, and synchronizes items from different sellers; Extend, which finds the same product across various platforms, reveals alternatives, and links related products; and Explore, which empowers users to search, compare prices, and analyze the entire dataset. Users incur charges during the Extract and Enrich stages, while the Extend and Explore features are provided free of charge. To address the complexities of scraping ecommerce sites, we developed our extraction engine, as conventional scrapers are often difficult to maintain due to frequent changes in website layouts. While AI-based scrapers offer flexibility, they can be excessively costly to deploy across every page. Thus, our solution not only guarantees reliability but also significantly improves accessibility to vital data, making it easier for sellers and consumers alike to navigate the ecommerce landscape efficiently. This ultimately fosters a more transparent marketplace where users can make informed purchasing decisions.