Olostep is a web data API for AI agents and developers. A single service covers scraping pages into clean Markdown, HTML, screenshots or JSON, crawling every page of a site, mapping its URLs, searching the web with natural language, getting AI-powered answers and monitoring pages for changes. Batch jobs process up to 100k URLs in five to seven minutes, and native Python and Node.js SDKs, metadata support and webhook events keep integration simple. Visitors can start for free and contact sales for larger needs.
The audience is developers and technical teams building products on live web data: AI agent builders, RAG and research pipelines, sales and data-enrichment teams, and startups that need dependable scraping without running their own crawler infrastructure. Engineers comfortable with a REST API or an SDK can be productive quickly, since the endpoints are object-oriented and examples exist in Python, Node.js and cURL. Larger organizations can talk to sales for volume needs.
Practical scenarios include feeding an AI agent fresh page content in Markdown, crawling a documentation site to build a retrieval index, collecting structured product or company data from many URLs in one batch, and asking a natural-language question that returns ranked links or a written answer. Monitors can watch for events such as a company publishing a new blog post or news updates, then notify a workflow through webhooks. Teams use the crawl endpoint with include and exclude patterns and a page limit to control exactly which parts of a site are collected.
