Scrape.do is a web scraping API for large language model (LLM) data preparation, focused on converting public website content into Markdown-format data that can be used directly for model training.
[Purpose] This tool is used to collect data from the public web to serve AI-driven business scenarios. Its official description states that its goal is to "train LLMs with clean, public web data," and it can scrape forum posts, long-form content, public knowledge graphs, and metadata from arbitrary websites.
[Main capabilities]
- Flexible output formats: It returns raw HTML by default, and the output= parameter can be used to specify returning .md or .json format, suitable for LLMs.
- Domain-specific content collection: It can collect structured data in Markdown format from niche forums, blogs, research centers, and product review websites, suitable for vertical-domain LLMs or fine-tuning existing models.
- Crawler-style experience: Users send a single URL and can retrieve structured, rendered, and navigated content, suitable for feeding model-ready data into AI pipelines.
- Deduplication support: It can use URL normalization, content hashing, or domain-specific selectors to achieve large-scale deduplication at low overhead.
- API-first, language-agnostic: Easy to integrate into various training stacks, from local scripts to production-grade data ingestion workflows.
[Usage] The official materials do not provide specific installation commands or code examples. The materials only explain sending a URL through the API and setting the output= parameter to switch output formats. You can start scraping with 1,000 free credits first, with no credit card required. If needed, you can contact the official engineers to discuss large-scale data needs.
[Applicable scenarios]
- Collecting large-scale public training data for large language models (forums, news, reviews, articles, academic sources).
- Building vertical-domain LLMs or fine-tuning existing models.
- Integrating scraped data into data annotation or training pipelines.
- Crawling entire site content and feeding it into AI pipelines.
[Limitations] The materials do not mention specific pricing, platform compatibility, scraping rate limits, legal compliance terms, and other information; these contents are not currently provided.
