Scrapy Cloud by Zyte is a cloud-based service for deploying, managing, and scaling Scrapy spiders used for web data extraction. It abstracts away infrastructure management, allowing users to focus on building and running crawlers. The platform provides a web interface and command-line tools for deploying projects, scheduling jobs, monitoring spider activity, and exporting data. Scrapy Cloud is designed for both small and large-scale scraping operations, supporting automation, parallel execution, and integration with Zyte’s APIs and proxy management tools.

Key Features

Cloud Hosting for Scrapy Spiders Run, monitor, and control Scrapy spiders in the cloud.

• No need to manage servers or infrastructure
• Supports both manual and scheduled spider runs

Scalable Crawling Operations Easily increase or decrease resources as needed.

• On-demand scaling for concurrent crawls
• Suitable for projects from small to enterprise scale

Web Interface and Command-Line Tools Deploy and manage projects via browser or CLI.

• Real-time dashboard for monitoring jobs
• Command-line utility and GitHub integration for deployments

Automated Job Scheduling and Intelligent Scheduling Automate spider execution and optimize resource use.

• Schedule spiders to run at specific times or intervals
• Intelligent scheduling for efficient resource allocation

Built-in Monitoring and Logging Comprehensive tools for tracking spider performance.

• Access logs, statistics, and error tracking
• Integration with Spidermon for advanced monitoring

Data Export and Storage Securely store and export scraped data.

• Export data in formats like CSV and JSON
• Built-in storage with configurable retention periods

Zero Vendor Lock-in Maintain flexibility and portability for your code.

• Use open-source Scrapy framework
• Migrate projects to other hosting solutions if required

Proxy and API Integration Integrate with Zyte’s Smart Proxy Manager and API.

• Handle anti-bot measures and site bans
• Headless browser support for JavaScript-heavy sites

Benefits

Reduced Infrastructure Overhead No need to set up or maintain servers for scraping.

• Focus on data extraction logic, not infrastructure
• Rapid deployment and scaling without IT bottlenecks

Improved Efficiency and Scalability Handle projects of any size with ease.

• Parallel execution of multiple spiders
• Elastic pricing ensures cost-effective scaling

Enhanced Data Quality and Reliability Built-in QA and monitoring tools.

• Automated error detection and logging
• Consistent, reliable data delivery

Developer Productivity Streamlined workflow for teams and individuals.

• Unlimited projects and team members (on most plans)
• Easy integration with CI/CD pipelines