Web Scraping
Made Simple

ScrapingLab is a visual web scraping platform that lets teams build data extraction workflows without writing code. You create tasks using a drag-and-drop editor, schedule them to run automatically, and export structured data in CSV, JSON, or via webhooks.

No. ScrapingLab is a no-code platform. You build scraping workflows visually by adding steps like click, extract, scroll, and solve CAPTCHAs. For advanced users, we also offer API access to trigger tasks programmatically.

The workflow builder lets you define a sequence of browser actions — navigate to a URL, click elements, extract text or images, solve CAPTCHAs, and more. Each step is configured visually. When you run the task, ScrapingLab executes these steps in a real browser and returns the extracted data.

ScrapingLab supports exporting extracted data as CSV, JSON, or sending it directly to webhooks. You can also access data programmatically through our API.

Web scraping of publicly available data is generally legal in most jurisdictions. However, you should always respect a website's terms of service and robots.txt directives. ScrapingLab provides built-in proxy rotation and rate limiting to help you scrape responsibly.

ScrapingLab automatically rotates IP addresses across a pool of residential and datacenter proxies during your scraping runs. This prevents IP-based blocking and ensures reliable data collection from websites that implement rate limiting.

Yes. You can schedule tasks to run daily, weekly, or at custom intervals. Scheduled runs execute automatically and deliver fresh data without any manual intervention.

Custom scrapers require ongoing maintenance — they break when websites change their layout. ScrapingLab's visual workflows are easier to update, include built-in proxy rotation and scheduling, and don't require any infrastructure setup. Teams can build and maintain scrapers without developer involvement.