Olostep is a web data API built for AI applications and developers who need clean, structured data from public websites without maintaining their own scraping stack. It replaces the usual mix of browser automation, proxy rotation and CAPTCHA handling with a managed API that returns pages as HTML, Markdown, PDF or structured JSON — ready to feed LLM pipelines, RAG systems and data workflows.
The platform covers the full extraction lifecycle: scrape a single URL, crawl an entire site even without a sitemap, or submit large batches for bulk retrieval. Custom parsers let you define exactly the schema you want returned, and its self-healing LLM parsers adapt when page layouts change. Full JavaScript rendering, premium residential proxies and built-in handling for rate limits and failed requests keep jobs reliable at scale, while extras such as PDF and DOCX parsing and browser actions like click, scroll and wait cover interactive pages.
Olostep starts with a free trial of 500 successful requests. Paid plans begin at $9 per month for 5,000 requests, scaling through Standard ($99, 200,000 requests) and Scale ($399, 1 million requests) to custom Enterprise tiers, so it is listed here as Freemium.
Typed SDKs and asynchronous workflows make it straightforward to integrate into existing pipelines, and the service is designed for high-volume workloads, from one-off research pulls to continuous monitoring of pages for changes. For teams comparing providers, the combination of LLM-based parsing and managed infrastructure removes most of the maintenance burden that makes in-house scraping expensive over time.
Olostep is for developers, AI teams and data-driven companies that need dependable web data at volume — for example for LLM training and retrieval, price or content monitoring, and market research — without building extraction infrastructure in-house.