VOOZH about

URL: https://apify.com/jeweled_jockstrap/my-actor-3

⇱ Website to Markdown for LLM and RAG [DEPRECATED] · Apify

👁 Website to Markdown for LLM and RAG avatar

Website to Markdown for LLM and RAG

Deprecated

Pricing

Pay per usage

Go to Apify Store

Website to Markdown for LLM and RAG

Deprecated

Convert any URL to clean Markdown text for AI applications. Strips HTML extracts content. For LLM training RAG pipelines and vector databases. Free Firecrawl alternative.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

👁 Juan Triviño

Juan Triviño

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

a month ago

Last modified

Share

The Actor has no README.md file. Sad!

You might also like

Website to Markdown Crawler for LLM & RAG

logiover/website-text-markdown-crawler

Crawl any website to clean Markdown and plain text for LLM training and RAG. HTML to Markdown, no API or login. Export website text to CSV or JSON.

Website To Markdown

smart_api/website-to-markdown

Convert any webpage into clean, LLM-ready Markdown in seconds — perfect for AI training data, RAG pipelines, and content archiving.

22

5.0

(1)

Website Content Pipeline for AI: Markdown, Tokens, RAG Chunks

scrapemint/website-content-crawler

Crawl any website and ship clean Markdown, plain text, and HTML for AI, LLM, and RAG pipelines. Each row carries token estimates, JSON LD metadata, link graph, and optional auto chunk splitting for vector databases. Pay per page.

JSON-LD Schema & Meta Tag Extractor

logiover/json-ld-schema-meta-tag-extractor

Bulk JSON-LD structured data scraper and meta tag extractor for any URL. Export Schema.org, OpenGraph and Twitter Cards to CSV/JSON. No API.

Llm Ready Documentation Scraper

direct_duty/llm-ready-documentation-scraper

Developers and AI agents need to read documentation (e.g. Stripe Docs, Next.js Docs), but standard scrapers return noisy HTML that includes: navigation bars headers / footers ads / cookie banners This Actor must return pure content-only Markdown, suitable for vectorization and semantic search.