llama_cloud_services vs deepscrape
Document processing and website scraping compared
llama_cloud_services connects TypeScript applications to Llama Cloud document parsing and knowledge services. deepscrape is a self-hosted TypeScript service for scraping and crawling websites, with options for structured extraction and agent workflows.
llama_cloud_services: Parse Documents and Use Llama Cloud Services
A TypeScript client and service repository for Llama Cloud document processing and knowledge workflows. It is deprecated; new projects should use the replacement packages linked by the maintainers.
deepscrape: Scrape Websites and Extract Structured Data
DeepScrape is a self-hosted TypeScript service for scraping and crawling websites, returning clean content or structured data. It combines HTTP fetching, Playwright, optional LLM extraction, and APIs for building data pipelines and agent workflows.
| llama_cloud_services | deepscrape | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | MIT |
| Stars | 4.3k | 320 |
| Forks | 463 | 26 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- llama_cloud_services focuses on parsing PDF, DOCX, and PowerPoint content; deepscrape focuses on scraping and crawling web pages.
- llama_cloud_services connects to Llama Cloud services, while deepscrape is deployed as a self-hosted service.
- deepscrape offers HTTP fetching, Playwright, CSS extraction, and optional schema-based LLM extraction; llama_cloud_services centers on document-processing workflows.
- llama_cloud_services is deprecated, with maintainers directing new projects to replacement packages; deepscrape's supplied information describes an active self-hosted service but does not establish its maintenance quality.
- Both are TypeScript projects under the MIT license; llama_cloud_services has 4.3k stars and 463 forks, while deepscrape has 320 stars and 26 forks.
Choose llama_cloud_services if you…
- need to integrate Llama Cloud document parsing into an existing TypeScript application.
- work with PDFs or office documents and want text, Markdown, or structured-data outputs.
- maintain an existing integration and are checking the documented successor packages.
Choose deepscrape if you…
- need a self-hosted service to scrape or crawl websites.
- want to extract page content or structured records using CSS selectors or optional LLM extraction.
- need crawling, browser sessions, or MCP access for data pipelines and agent workflows.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.