Refinery — HTML to LLM Text (Cut RAG Token Cost)
Pricing
from $2.00 / 1,000 html extractions
HTML to LLM text cleaner for RAG pipelines. Strip scripts, nav & layout junk after Firecrawl or your fetch. BeautifulSoup-alternative speed. $0.002/page · 3 README demos in Console.
You can access the Refinery — HTML to LLM Text (Cut RAG Token Cost) 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 "urls": ["https://example.com"],10 "raw_payload": "<html><head><script>gtag('event','page_view')</script><style>.nav,.footer{display:block}</style></head><body><nav>Home · Pricing · Login</nav><article><h1>Quarterly update</h1><p>We reduced embedding cost by cleaning HTML before chunking.</p></article><footer>© 2026 · Legal · Careers</footer></body></html>",11}12
13# Run the Actor and wait for it to finish14run = client.actor("larelabs/refinery-html-to-llm-cleaner").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 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 Refinery — HTML to LLM Text (Cut RAG Token Cost) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: