Olostep
Olostep provides web data infrastructure for AI applications and automated research workflows. Its API covers finding web pages, extracting their contents, producing structured results, and monitoring changes. Developers can use the operations together or choose the endpoint that matches a particular retrieval task.
Finding and collecting pages
Olostep supports search, scraping, crawling, website mapping, and batch processing. Search returns relevant links with titles and descriptions. Mapping discovers URLs through sitemaps and page links, with path filters for controlling which URLs to include.
Scraping extracts a specific page. Crawling collects content across a site's subpages and provides controls for depth and URL patterns. Olostep can return HTML, Markdown, text, PDF, JSON, screenshots, or raw bytes. The publisher describes handling rendered pages and the retrieval infrastructure rather than requiring customers to maintain their own browsers and proxies.
Structured research and monitoring
The Answers operation searches the web and returns an answer in a requested JSON shape. The homepage's examples include the structured content and its sources. For extraction, developers can describe desired fields with a prompt or use parsers for a repeatable JSON result.
Olostep's monitors track web changes on a schedule and send notifications. The publisher lists email, webhook, and SMS channels. This can support a workflow that checks price changes, stock, job openings, or newly published content instead of repeating the same manual search.
The service offers Python and Node.js SDKs, a CLI with JSON output, and an MCP integration. These access paths give application developers, scripts, and compatible agent tools different ways to call the same web capabilities.
Requests and pricing
The pricing page lists a free trial with 500 successful requests. Starter is listed at $9 per month with 5,000 successful requests; larger plans increase the included volume. Credit packs are also available and are valid for six months.
Olostep defines a request as one webpage or PDF processed. It says failed requests are not charged by Olostep, while underlying model costs may still apply to endpoints involving language-model processing. Consider both successful-page volume and any model processing when estimating a workflow's cost. The website also distinguishes rate and concurrency allowances, so a request total alone does not determine how fast a large collection can run.