Q&A Dataset Extractor for LLM Fine-Tuning

AI Training Data Scraper - LLM and RAG-Ready

george.the.developer/ai-training-data-scraper

Extract web content formatted for LLM fine-tuning and RAG pipelines. Output in OpenAI JSONL, Claude JSONL, Markdown, or raw text.

Crawl websites and convert to clean markdown for AI/RAG, LLM fine-tuning, and document pipelines.

AI Dataset Converter - Website to Training Data

boztek-ltd/ai-dataset-converter

Crawl websites and convert content into AI-ready formats: RAG chunks, fine-tuning JSONL, Q&A pairs, clean Markdown. Token-aware chunking, quality scoring, deduplication. No external LLM API needed.

AI Training Data Curator

ryanclinton/ai-training-data-curator

Crawl any website and extract clean, structured text data ready for LLM fine-tuning, RAG pipelines, and AI model training.

​AI-Ready Documentation Crawler

funny_electrician/Korak1901

Scrapes developer docs and outputs perfectly formatted Markdown for LLM fine-tuning.

Generates verified Q&A training pairs from PubMed Central (biomedical) or CourtListener (legal). Every answer has a verbatim evidence anchor from the source document. Output: JSONL ready for LLM fine-tuning.

AI Training Dataset Builder: Articles, Blogs & Web Pages

turboextract/ai-training-dataset-builder

Turn any list of URLs into clean, structured training data for AI models, RAG systems, and LLM fine-tuning. Built for ML engineers and AI teams.

Convert web pages to clean, LLM-friendly text. Perfect for RAG pipelines, AI chatbot training, and fine-tuning datasets. Removes ads,menus, and clutter automatically.

AI Training Data Scraper (Substack / Medium)

juryless_lens/ai-training-data-scraper

Extract clean, structured text data from Substack and Medium publications — formatted as Markdown or Plain Text — ready for LLM fine-tuning, RAG pipelines, and content analysis.

RAG-Ready Markdown Converter & Chunker

foxpink/apify-rag-markdown-chunker

Convert raw HTML/text into clean Markdown and split into ready-to-ingest chunks for RAG pipelines, Vector DBs, and LLM fine-tuning workflows.