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Summary
Olostep is a powerful web scraping API designed to extract clean data from any website in a remarkably fast timeframe – typically between 1 and 5 seconds. It positions itself as the most reliable and cost-effective solution available, catering to a wide range of data acquisition needs. The API is built to handle substantial workloads, capable of parallelizing up to 100,000 requests within minutes, making it ideal for large-scale data projects. Access to the platform currently requires an invite code, emphasizing a controlled and potentially exclusive user base.
Key Features
Fast data extraction (1-5 seconds)
Data formatting options (Markdown, HTML, PDF, JSON)
Pre-built parsers for popular websites
Custom parser creation
JS execution and residential IP rotation
Crawling and batch execution capabilities
Scalable to 100k+ requests per minute
About Olostep
This API excels in providing data specifically formatted for use with artificial intelligence applications. It doesn't just deliver raw HTML; it offers the ability to transform scraped content into clean Markdown, HTML, PDF, or structured JSON, giving developers flexibility in how they utilize the data. Olostep also provides pre-built parsers for popular websites like Brave Search, Reddit, Instagram, Amazon, Google Maps, Perplexity, and Gemini, simplifying the extraction of specific data points from these platforms. Furthermore, users can create their own custom parsers to tailor data extraction to their unique requirements.
Olostep is designed with developers in mind, offering code examples in Python and JavaScript to facilitate easy integration. It supports advanced features like JS execution and residential IP rotation to bypass bot detection and ensure reliable data retrieval. Beyond simple scraping, Olostep offers crawling capabilities to extract data from entire websites and batch execution for processing large volumes of URLs quickly. Transparent pricing plans range from a free tier to paid subscriptions based on usage, with options for credit packs to accommodate fluctuating demands, and custom discounts for high-volume users.
