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Website to RAG chunks for a vector database
Created by
Scrape Lads
Crawl a website and split every page into overlapping, heading-aware text chunks ready for a vector database such as Pinecone, Qdrant or pgvector. Works with LangChain and LlamaIndex pipelines.
Web Crawler: Website to Markdown for LLM & RAGscrape-lads/website-content-crawler-rag
URL
Title
Chunks
TextNumberBooleanListObject
Input
Start URLs(required)
url:https://crawlee.dev/js/docs/introduction
Max pages:30
Max crawl depth:5
Crawl scope:path
Include URLs (globs)
Exclude URLs (globs)
Crawler type:auto
Output formats:markdown+1
Remove boilerplate:true
Chunk size (characters):1000
Chunk overlap (characters):150
Discover pages from sitemaps:false
Respect robots.txt:true
Max concurrency:10
Output fields
URL
Title
Chunks
Sign up on Apify01
Create your Apify account to access the Web Crawler: Website to Markdown for LLM & RAG.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
