Website to Markdown for LLM and RAG
Pricing
Pay per usage
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
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0.0
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Developer
Juan Triviño
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2
Total users
1
Monthly active users
a day ago
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You can access the Website to Markdown for LLM and RAG programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("jeweled_jockstrap/my-actor-3").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Website to Markdown for LLM and RAG API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: