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Octoparse AI is a web data extraction tool that uses artificial intelligence to help users collect structured data from websites without coding. The platform allows users to describe what data they want in natural language, and the AI agent automatically identifies and extracts the relevant content. It supports scraping of dynamic and JavaScript-rendered pages, handles pagination and login-required pages, and can export data in formats such as CSV, Excel, and JSON. Octoparse AI is designed to simplify the data collection process for business users, researchers, and analysts who need web data at scale. The platform offers cloud-based scraping with scheduled runs, allowing automated and recurring data collection. It also provides pre-built templates for common scraping tasks such as e-commerce product data, social media content, and job listings. The tool positions itself as accessible to non-technical users while also offering API access for developers who want to integrate scraped data into their own workflows and applications.

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Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

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Pricing

Pricing details:
Free trial
Free version
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Key features

AI-powered data extractionNo-code scraping interfaceNatural language task configurationCloud-based scrapingScheduled and automated runsDynamic and JavaScript page supportPre-built scraping templatesData export (CSV, Excel, JSON)Pagination and infinite scroll handlingLogin-required page scrapingAPI access

Use cases

  • Extract e-commerce product data at scale
  • Monitor competitor pricing and listings
  • Collect job listings from multiple platforms
  • Gather social media and review data
  • Automate recurring data collection workflows
  • Integrate scraped data into external applications

Best for

  • Business analysts who need to collect and structure web data without writing code
  • E-commerce managers who need to monitor competitor pricing and product listings automatically
  • Researchers who need to aggregate large volumes of public web data for analysis
  • Developers who need to integrate web-scraped data into applications via API