Semantic search and ranked discovery
Search the web with natural-language queries and receive ranked links with titles and descriptions, which is useful when you need discovery before extraction.
Olostep
Olostep is a web data infrastructure API for AI agents and developers to search, scrape, crawl, structure, and monitor web content with LLM-ready outputs.
Web data infrastructure for AI agents
Olostep is a web data infrastructure platform for AI agents and developer teams that need to search, scrape, crawl, structure, and monitor web content through one API. The site positions it as a way to power research, enrichment, RAG, and real-time data workflows with structured, LLM-ready output.
Its public API is organized into focused endpoints for different jobs: Scrapes for known URLs, Maps for domain URL discovery, Crawls for multi-page site walks, Batches for large arbitrary URL lists, Searches for semantic discovery, Answers for source-backed responses, and Monitors for recurring checks. The homepage also shows native Python and NodeJS SDK clients, plus cURL examples, so teams can use the service from code or directly over HTTP.
Core capabilities
Single-URL scraping
Extract content from a URL you already know and request formats such as markdown, HTML, text, JSON, screenshots, and parser output.
Site crawling with page retrieval
Walk a site from a start URL with depth and page limits, then list pages and retrieve each page’s content separately.
Domain URL mapping
Discover URLs for one domain with filters and cursor pagination, which helps build a source list without maintaining your own discovery pipeline.
Batch processing for large URL sets
Process large lists of arbitrary URLs in one job, with parsers, metadata, webhooks, and cursor-based access to items.
Web monitoring and alerts
Set up recurring monitors to track web pages and send change alerts through email, Slack, SMS, or webhook.
Common workflows
Find candidate sources for a research task
Use Search when you need ranked links from a natural-language question and want to move from discovery to extraction without managing your own search scraper.
Extract content from a single page
Use Scrapes when you already know the URL and need page content in a specific format such as markdown, HTML, JSON, or screenshots for downstream processing.
Collect content from a site walk
Use Crawls when the content is spread across a site, such as documentation, blogs, or other multi-page structures, and you need page-by-page retrieval from a start URL.
Build a domain URL list
Use Maps when you need to inventory the URLs on a domain before deciding which pages to fetch or process further.
Process large URL lists at scale
Use Batches when you have a large arbitrary list of URLs and want to process them in one job with predictable completion and operational tooling such as webhooks.
Pros and Cons
Pros
- Covers several common web-data workflows in one platform, including search, scraping, crawling, mapping, batches, answers, and monitors.
- Supports multiple output shapes, including markdown, HTML, text, JSON, screenshots, and parser output where applicable.
- Provides code samples for Python, NodeJS, and cURL, which makes it easier to adopt in different stacks.
- The pricing page includes a free trial with 500 successful requests, plus paid plans, top-ups, and an enterprise option.
- The endpoint pages describe operational features such as webhooks, metadata, and cursor pagination for scale-oriented workflows.
Cons
- The product is split across multiple endpoints, so choosing the right one depends on the workflow rather than using a single catch-all call.
- The sources do not provide full documentation for every endpoint capability, so some advanced behaviors, limits, and integrations are not fully visible from the public pages alone.
FAQ
Which endpoint should I use for a given workflow?
Olostep exposes focused endpoints for different web data tasks. The source pages say Scrapes are for a single known URL, Maps for discovering URLs on one domain, Crawls for walking a site from a start URL, Batches for large arbitrary URL lists, Searches for ranked web results, Answers for source-backed natural-language responses, and Monitors for recurring checks.
Does Olostep provide SDKs or just raw HTTP APIs?
The source shows native Python and NodeJS SDK clients, as well as cURL examples. The public pages also show endpoint-specific HTTP requests and code samples for scrapes, crawls, maps, and batches.
Is there a free plan or trial?
The pricing page says the free trial includes 500 successful requests, and paid plans start at $9/month. The same page also mentions top-up credit packs and an enterprise option with custom pricing.
What kind of output does Olostep return?
The homepage shows Scrapes returning markdown, HTML, screenshots, and JSON, while the endpoint page also mentions text and parser output. Crawls return per-page retrieve IDs and content can then be fetched from /v1/retrieve.
Can Olostep be used for ongoing monitoring?
The endpoint page describes Monitors as recurring checks that can detect page changes and send alerts by email, Slack, SMS, or webhook. The home page and pricing page focus more on the web data APIs, while the monitors detail appears on the endpoint overview page.
Quick Facts
- Category
- Web data infrastructure
- Primary users
- AI agents, developers, and research teams
- Interface
- HTTP API with SDK clients and cURL examples
- Key endpoints
- Scrapes, Crawls, Maps, Batches, Searches, Answers, Monitors
- Pricing entry point
- Free trial available; paid plans and top-ups on the pricing page
- Website
- olostep.com
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