Oxygen

Oxygen API is an advanced, AI-driven data extraction platform designed to automate the process of gathering structured information from virtually any website. Its core value proposition lies in eliminating the technical barriers traditionally associated with web scraping, such as writing complex code, managing proxies, or dealing with anti-bot measures. By leveraging natural language prompts, users can simply describe the data they need, and the tool intelligently navigates, interprets, and returns it in a clean, usable format like JSON or CSV. This makes data collection accessible to a much broader audience, from business analysts to marketers, who require real-time data without a development team.

Key features: The platform allows users to extract specific data points like product prices, stock levels, contact details, or article text by describing them in plain English. For example, a user can prompt, 'Get all laptop model names and their current prices from this e-commerce page,' and Oxygen API will handle the rest. It supports dynamic content rendered by JavaScript, can paginate through results automatically, and offers scheduling for recurring data pulls. The API also provides built-in data normalization and validation, ensuring consistency across extracted datasets.

What sets Oxygen apart from many competitors is its focus on a truly no-code, prompt-first interface combined with robust underlying infrastructure. While other tools might offer visual selectors or require CSS/XPath knowledge, Oxygen uses machine learning models to understand webpage semantics and user intent directly from natural language. Technically, it operates on a distributed scraping infrastructure to ensure reliability and speed, handling CAPTCHAs and rotating IP addresses automatically. It offers seamless integrations via its REST API, with ready-made connectors for popular platforms like Google Sheets, Zapier, and Make, enabling easy data piping into existing workflows.

Ideal for e-commerce companies conducting price monitoring and competitor analysis, market researchers aggregating public data from multiple sources, and content teams tracking mentions or news. It is also highly valuable for startups and SMBs that need to automate lead generation from directories or review sites without investing in custom development. Industries such as finance for aggregating market data, real estate for listing compilations, and academia for large-scale data collection for studies can significantly benefit from its automation capabilities.

Pricing follows a freemium model with a generous free tier for testing and low-volume use, while paid plans scale based on the number of API calls and data points extracted. The service is designed to be cost-effective for both individual professionals and large enterprises requiring high-volume, reliable data extraction.