Octoparse AI

Point-and-click interface for defining web scraping tasks without writing code. Users select elements on a webpage visually and the tool automatically generates extraction rules.

Cloud-based infrastructure that executes scraping tasks repeatedly and at high volume without consuming local computing resources. Handles scheduling, retries, and large dataset management.

Provides free access to core web scraping functionality with limited extraction volume and scheduled runs, allowing users to evaluate the platform before upgrading.

AI suggests pre-built workflow templates and automation patterns based on user intent, reducing setup time for common scraping scenarios. Templates can be customized through the visual builder.

Converts extracted data into multiple formats (CSV, JSON, Excel, database connections) for seamless integration with downstream tools and workflows.

Automatically tracks and extracts pricing data from competitor websites on a scheduled basis, enabling price comparison and market intelligence gathering.

Schedules scraping tasks to run automatically at specified intervals (daily, weekly, monthly) without manual intervention, with built-in retry logic and error handling.

Executes JavaScript on target websites before scraping to capture dynamically-loaded content that wouldn't be visible in raw HTML.

Automatically removes duplicate records and cleans extracted data to ensure quality and consistency before export.

Manages IP rotation and proxy connections to avoid rate-limiting and IP bans when scraping at scale.

Connects scraped data to external APIs and services via webhooks, enabling real-time data flow to downstream applications and databases.