# Extract LLM-Ready Data from The Web

> Source: https://scrape.do/industries/ai-llm/

Turn public websites into LLM-ready data in markdown format with the best web scraping API on the market. Fuel your AI-powered business with clean data.

**Train Your LLM with Clean, Public Web Data**

Scrape the public web with precision; forum threads, longform content, public knowledge graphs, and metadata from any site.

![Train Your LLM with Clean, Public Web Data](/images/ai-llm-hero.png)

## Use Cases

### Train LLMs with Domain-Specific Web Content

Collect structured data in Markdown format from niche forums, blogs, research hubs, and product review sites, ideal for vertical LLMs or fine-tuning existing models

### Use a Crawler to Feed Entire Websites to Your LLM

Scrape.do powers a crawler-like experience where you send a single URL and retrieve structured, rendered, and navigated content, ideal for feeding model-ready data into AI pipelines.

## FAQ

### Can I use Scrape.do to build my own custom dataset for LLM training?

Yes. You can use Scrape.do to collect large-scale public data from across the web including forums, news, reviews, articles, and academic sources to structure for model training.

### Does Scrape.do help structure scraped content into clean, model-ready text?

Scrape.do returns raw HTML by default and you can change output using output=<format> to return .md or .json formats, which are perfect for LLM use.

### Can I avoid scraping duplicate pages or near-identical content across sources?

Yes. You can use URL normalization, content hashing, or domain-specific selectors alongside Scrape.do to deduplicate at scale with minimal overhead.

### Can I integrate Scrape.do directly into my data labeling or training pipeline?

Absolutely. Scrape.do is API-first and language-agnostic which makes it easy to plug into any training stack from local scripts to production-scale ingestion workflows.