Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Oxylabs is a web-data infrastructure company offering proxies and scraping tools that let organizations gather public web data at scale. Its product line spans low-level network access through to higher-level APIs that abstract away the mechanics of large-scale collection, making it a common building block for market research, price intelligence, and AI data pipelines.
The core is a large pool of proxies across multiple IP types, paired with managed scraping products that handle blocking, rendering, and parsing so teams can request structured results directly. The company also publishes ready-made datasets and offers AI-assisted tooling to speed up building and maintaining scrapers.
Oxylabs operates at the sourcing layer, supplying the raw public web data that downstream teams clean, label, and use for model training, retrieval, and analytics. The company positions itself around responsible data collection and has been active in industry efforts to set ethical standards for web scraping, which matters to buyers navigating compliance risk. For AI builders, it is typically chosen to avoid operating an in-house proxy and scraping stack.
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