ai-powered visual data extraction
Automatically identifies and extracts structured data from web pages by analyzing visual layout and content patterns without requiring CSS selectors or XPath expressions. The AI understands context to determine what data is relevant based on user intent.
automatic proxy rotation and header management
Handles IP rotation and HTTP header management transparently to avoid detection and blocking by target websites. Eliminates the need for users to manually configure proxies or manage rotating user agents.
multi-page batch data extraction
Processes multiple URLs or paginated content in a single workflow, applying the same extraction rules across all pages and aggregating results into a unified dataset. Handles pagination automatically when configured.
no-code workflow builder
Provides a visual interface to define scraping workflows without writing code, including URL input, data selection, scheduling, and output configuration. Users can create and modify extraction jobs entirely through the UI.
scheduled automated data collection
Allows users to schedule scraping jobs to run automatically on a recurring basis (daily, weekly, monthly) without manual intervention. Results are collected and stored for later access or export.
data format conversion and export
Converts extracted data into multiple output formats (CSV, JSON, spreadsheet) and provides download or API access for integration with other tools and workflows.
website structure learning and adaptation
The AI engine learns the structure of target websites and adapts extraction rules when page layouts change slightly, reducing the need for manual rule updates when sites are redesigned.
freemium trial and validation
Provides a generous free tier that allows users to test and validate scraping workflows before committing to paid plans, with clear quota limits and upgrade paths.