Clean Web Data for Every Team

A Web Data API allows developers to extract, crawl and structure data from websites at scale. It handles rendering, anti-bot protection and parsing, returning clean outputs such as JSON or HTML for use in applications, analytics or AI workflows.

Olostep is reliable (99.5% uptime), cost-effective (up to 70% cheaper), scalable, and flexible to work with your existing workflows and backend. It is one of the few platforms where you can create custom parsers to return deterministic results at scale in a cost-effective way. You can request features you need, and our team will work on adding them. You can also test Olostep for free to see if it fits your use case. Get your free API keys here.

Olostep is built for AI startups, developers, AI engineers, data scientists and research teams that rely on web data to power products, enrich datasets and automate workflows.
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It is especially useful for teams that need to search, crawl, scrape and structure web data for use cases such as market research, website monitoring, data enrichment, historical web analysis, LLM fine-tuning and grounding AI systems with real-world data.

By returning clean, structured outputs through a single API, Olostep makes it easier to plug web data into existing backends, pipelines and AI applications.

Olostep can access and interact with most publicly available websites, including those that require JavaScript rendering.

If your use case involves authentication, cookies or logged-in sessions, you can get in touch at info@olostep.com to explore supported options.

Yes, Olostep is built to handle high-volume data extraction at scale, supporting up to billions of requests per month. With features like batch processing, distributed infrastructure and scalable workflows, it is designed for both growing teams and enterprise-level use cases.

Crawling refers to discovering and navigating multiple pages across a website, while scraping focuses on extracting data from a specific page. A Web Data API typically supports both processes in a unified workflow.

Most Web Data APIs return data in structured formats such as JSON, as well as HTML, Markdown or raw content depending on the use case. Structured outputs are commonly used for automation and AI workflows.

Yes, Olostep is designed to support automated data pipelines and research workflows on the web. With capabilities for searching, crawling, scraping, structuring data and running repeatable workflows, it can support a wide range of business and AI use cases.
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If you have a specific workflow in mind, contact the team at info@olostep.com or via the Contact Sales page to discuss the best setup for your use case.

Yes, Olostep lets you extract data using natural language prompts. If you already know the exact page you want to process, you can use the /scrapes endpoint with LLM extraction to describe the data you want returned.

For high-volume or deterministic extraction, Olostep's parsers are the better option, as they return structured JSON more consistently at scale.

For more advanced workflows, such as searching for data, navigating across pages, handling pagination or validating results, the /agents endpoint can automatically carry out multi-step extraction based on your prompt.

One request equals one webpage or one PDF processed. We do not charge separately for bandwidth, proxies, or data usage. All infrastructure costs are included in the price per request.

No, Olostep does not charge for failed requests. You are only billed for successful requests, ensuring predictable and fair usage-based pricing.

For endpoints that involve LLM processing (such as the Answers API), any underlying model costs may still apply. However, Olostep itself only charges for requests that are successfully completed.

Web scraping is legal in many cases, but depends on how the data is accessed and used. It is important to follow website terms of service, data privacy regulations and applicable laws when extracting web data.