Go to example tasks

Crawl FastAPI docs into Markdown chunks for a vector database

Crawl the FastAPI tutorial and split each page into Markdown chunks of about 1,500 characters with 150 characters of overlap, ready to embed into Pinecone, Qdrant, Chroma or pgvector. Pages are found via links and the sitemap; the include pattern keeps the crawl on /tutorial/.

Try for free
Website to Markdown Crawler - Content Crawler for LLM & RAG
Website to Markdown Crawler - Content Crawler for LLM & RAGtidytools/website-markdown-crawler
URL
Title
Depth
OK
+6 fields
Text
Number
Boolean
List
Object

Input

Start URLs:https://fastapi.tiangolo.com/tutorial/
Include URL patterns:https://fastapi.tiangolo.com/tutorial/**
Max pages:20
RAG chunk size (characters):1500

Output fields

URL
Title
Depth
OK
Markdown
Start URL
Charged
Error type
Error
What to try

How it works

Sign up on Apify or log in

The Website to Markdown Crawler - Content Crawler for LLM & RAG Actor is ready to run with the inputs already set for "Crawl FastAPI docs into Markdown chunks for a vector database". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Crawl FastAPI docs into Markdown chunks for a vector database" task

The Website to Markdown Crawler - Content Crawler for LLM & RAG Actor will start running based on the input automatically. You can also change all the input fields, like start urls, include url patterns, and more, to match your specific use case.

Receive the "Crawl FastAPI docs into Markdown chunks for a vector database" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, title, depth, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Crawl FastAPI docs into Markdown chunks for a vector database" task via API.

Image

Integrate "Crawl FastAPI docs into Markdown chunks for a vector database" into your workflow

Connect "Crawl FastAPI docs into Markdown chunks for a vector database" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay