Get a complete text archive of any website for analysis or training.
List of URLs to start with (format: abc.com)
Results to deliver
700 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Provide a list of website domains to crawl every linked page and extract all text content. Ideal for full-site content audits, competitor research, or creating training datasets for AI models.
The Deep Website Content Crawler is designed to create a complete text archive of one or more websites. You provide a starting URL, and the tool systematically follows all internal links to discover and download the text from every page on that domain. This isn't about scraping a single page; it's about capturing the entire public-facing written content of a website. The output is a clean dataset that maps each domain to the full body of text found across all its pages, stripped of HTML, scripts, and other code. ### Who is this for? This tool is built for anyone who needs bulk text content from websites without manual copy-pasting. * **AI & Machine Learning Teams:** Feed your Large Language Models (LLMs) or Retrieval-Augmented Generation (RAG) systems with high-quality, domain-specific text from company websites, knowledge bases, or documentation portals. * **SEO & Content Strategists:** Conduct a comprehensive content audit across an entire site. Analyze keyword usage, find outdated information, or assess the thematic focus of a competitor's web presence. * **Market Researchers:** Analyze the messaging, tone, and product descriptions across multiple competitor websites to identify market positioning and strategic narratives. * **Digital Archivists:** Create a permanent, searchable text record of a website at a specific point in time for legal, compliance, or historical purposes.
Enter the full URL of the website(s) you wish to crawl into the 'Start URLs' field.
The tool will visit each starting URL.
It then follows every internal link it finds to discover and queue up all pages on that domain.
For each page, it extracts the visible text content, stripping away code and navigation.
Finally, it aggregates all text from the domain and provides a single downloadable dataset.