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Olostep
Web search, scraping and crawling API for AI agents, with JS rendering, residential IPs, an MCP server and published cost-per-request.
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https://olostep.com
About Olostep
Olostep is a web data API built for AI systems rather than for human browsing. It exposes five primitives behind one interface — scrape a single page, crawl a site, map a domain's URL structure, search the web with a natural-language query, and answer a question directly from live pages — so an agent can go from a prompt to clean, structured web data without a separate scraping stack. Every request is JavaScript-rendered and routed through residential IP addresses by default, which is the part teams usually end up building or buying separately once a naive HTTP fetch starts returning empty shells and bot walls. Beyond the raw endpoints, Olostep ships an MCP server and a CLI so agent frameworks can call it as a tool directly, a monitoring feature that watches for events across the web and fires when a page changes, and an agent mode that automates multi-step web research from a single prompt. Pricing is unusually transparent for the category: each tier publishes an explicit cost-per-1,000-successful-requests alongside the monthly fee, and one-off credit packs are available for teams whose volume is bursty rather than steady. Documentation covers the API reference, integrations, glossary and demos, and there is a public playground for testing endpoints before committing to a plan.
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