Olostep

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Olostep: The web scraping API for fast, reliable, real-time data. Power your AI & data apps with clean, structured web data. Bypasses all bot detection.0
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What is Olostep?

Olostep is a robust web scraping API designed to deliver clean, real-time data from any website efficiently. It addresses the critical need for fast, reliable, and cost-effective data acquisition, particularly for AI development and large-scale data aggregation. Developers, startups, and established companies leverage Olostep to power their data-driven applications and automate workflows.

Key Features

  • 🚀 Rapid Data Retrieval: Olostep quickly extracts content from any publicly available web page, delivering results within 1-5 seconds. This speed ensures you receive timely information critical for dynamic applications and real-time decision-making.

  • ⚡ Massive Batch Processing: Process up to 100,000 URLs in just 5-7 minutes. This capability is ideal for large-scale data aggregation, enabling efficient collection of vast datasets for analysis or AI training.

  • 🧠 Intelligent Parsing with Pre-built & Custom Options: Obtain structured JSON data from popular websites using Olostep's growing library of pre-built parsers (e.g., Google Search, Amazon Product). You can also create custom parsers to precisely extract data tailored to your specific needs.

  • 🛡️ Automated Bot Detection Bypass: Olostep handles the complexities of web scraping by automatically managing rotating proxies, solving CAPTCHAs, and navigating rate limits and JavaScript-rendered content. This ensures consistent data access without manual intervention.

  • 📄 Flexible Output Formats & Document Parsing: Receive extracted content in your preferred format, including clean Markdown, raw HTML, structured JSON, or even parsed content from web-hosted PDFs and DOCX files. This versatility supports diverse data consumption requirements.

Use Cases

  • Competitive Intelligence: Track competitor pricing, product features, and market trends in real-time. This allows businesses to adjust their strategies dynamically, maintaining a competitive edge.

  • AI Training Data: Collect vast, clean datasets from diverse web sources to train and fine-tune AI models. This provides the rich, contextual information necessary for developing sophisticated AI agents and large language models.

  • Market Research & Lead Generation: Systematically gather customer reviews, market sentiment, and business contact information from directories. This supports informed market analysis and targeted outreach efforts.

Why Choose Olostep?

  • Unmatched Cost-Effectiveness: Olostep is designed to be significantly more affordable than many existing solutions, potentially reducing your scraping costs by up to 90%. You only pay for successful requests, ensuring maximum value for your investment.

  • Superior Reliability & Performance: Our API leverages premium rotating proxies and advanced bypass mechanisms to ensure you get the content you want, precisely when you need it. It's built for scale, handling tens of millions of requests daily with consistent uptime.

  • Developer-Centric & Flexible: With extensive API documentation, Python and Node.js examples, and the ability to create custom parsers, Olostep empowers developers to integrate web data seamlessly into any application or workflow.

Conclusion

Olostep provides a powerful, reliable, and highly scalable solution for extracting web data, transforming how businesses and AI applications access information. By simplifying complex scraping challenges, it enables you to focus on leveraging clean data for innovation and growth. Start your data journey today with a free account and explore Olostep's capabilities firsthand.


More information on Olostep

Launched
2023-06
Pricing Model
Freemium
Starting Price
$9 per month
Global Rank
5669430
Follow
Month Visit
<5k
Tech used

Top 5 Countries

100%
United States

Traffic Sources

10.89%
1.11%
0.05%
5.73%
31.39%
50.83%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 25, 2025)
Olostep was manually vetted by our editorial team and was first featured on 2025-09-05.
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