Olostep Technologies, Inc.
Olostep builds web-data infrastructure for the Web's second user: AI agents. Its APIs let AI systems and businesses search the live web, scrape and crawl sites, extract structured data, and obtain grounded answers for agents, research workflows, and data products.
At a Glance
- Seed to Series B startups
- AI-native application and agent companies
- Traditional enterprises deploying agent-based workflows
- AI platform and automation vendors
- +3 more
AI Tools by Olostep Technologies, Inc.
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Olostep
Web Scraping API for AI Agents
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Latest News
Olostep introduced the storage parameter for persistent extraction results and configurable retention.
Olostep's Web Search API became generally available with ranked normalized results, citations, optional content retrieval, and region/language targeting.
Olostep published its company manifesto and described its API-first strategy for the Web's second user; it also announced Olostep Orbit was planned for launch in 2026.
Olostep published a Gumloop case study showing Gumloop using Olostep as its default web node for search, scraping, crawling, and structured extraction.
Products & Services
Fetches a known URL as clean Markdown, HTML, screenshots, PDF, or structured JSON, including JavaScript-rendered pages and protected sites.
Recursively discovers and retrieves pages across a site, with URL filters, depth/scope controls, and structured content output.
Discovers and inventories URLs on a domain so agents can plan routes and select pages to retrieve.
Processes large arbitrary URL lists in parallel, with support for high-volume ingestion, webhooks, and structured outputs.
Market Position
Olostep positions itself as an AI-native, API-first web-data layer combining search, scraping, crawling, URL mapping, batch processing, monitoring, and structured answers in one platform. Its differentiation is reliability on dynamic and protected websites, LLM-ready structured output and citations, developer/MCP integrations, and lower stated production cost than legacy scraping providers. Competitors identified in its comparison content and the broader market include Firecrawl, ScraperAPI, ScrapingBee, Zyte, Bright Data, Oxylabs, Apify, and Tavily.
Leadership
Founders
Hamza Ali
Co-founder and CEO. Previously co-founded Zecento, an Italian AI e-commerce productivity product; he studied medicine before moving into technology entrepreneurship.
Arslan Ali
Co-founder. Computer Science student at Stanford; previously lead engineer at Sameday (YC W23) and worked at YC startups including Legora and Zenfetch. He also worked with Hamza at Zecento.
Executive Team
Hamza Ali
Co-founder and CEO
Previously co-founded Zecento, an Italian AI e-commerce productivity product.
Arslan Ali
Co-founder
Stanford Computer Science student and former lead engineer at two YC startups; previously worked at Sameday, Legora, and Zenfetch.
Founding Story
Olostep was started around the founders' conviction that the primary user of the web for work would shift from humans to AI agents. Their initial vision was an API-first abstraction layer that makes the live web reliable, structured, and usable by AI systems, rather than forcing every AI company to maintain its own brittle scraping and search infrastructure.
Business Model
Revenue Model
Usage-based web-data API monetization combined with monthly subscription plans, prepaid credit top-ups, and custom enterprise contracts. Billing is based on successful requests/credits, with enterprise discounts for very large volumes.
Pricing Tiers
500 successful requests; JavaScript-rendered requests using residential IP addresses; low rate limits.
5,000 successful requests and 150 concurrent requests.
200,000 successful requests and 500 concurrent requests.
1 million successful requests and AI-powered browser automations.
Credit pack valid for six months.
Credit pack valid for six months.
Credit pack valid for six months.
Hundreds of millions of credits with enterprise-grade reliability and custom discounts.
Target Markets
- Seed to Series B startups
- AI-native application and agent companies
- Traditional enterprises deploying agent-based workflows
- AI platform and automation vendors
- Sales intelligence, RevOps, and GTM teams
- RAG, search, and research platforms
- Powering AI applications and agent platforms with real-time web data
- RAG and search products
- Deep research and multi-source information retrieval
- Sales lead enrichment, company research, and CRM enrichment
- Competitive intelligence and market monitoring
- SEO and AI-search visibility analysis
- AirOps
- Gumloop
- Openmart
- Aurium