RAG Content Quality Auditor
Pricing
from $3.00 / 1,000 page auditeds
Audit websites or Apify datasets before RAG/LLM ingestion. Score content quality, detect duplicates and low-value pages, estimate tokens, and identify what to keep for AI knowledge bases, embeddings, and vector databases.
You can access the RAG Content Quality Auditor 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 API & Integrations 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 "start_url": "https://docs.python.org/3/tutorial/",10 "max_pages": 8,11 "max_depth": 1,12 "include_patterns": ["https://docs.python.org/3/tutorial/*"],13}14
15# Run the Actor and wait for it to finish16run = client.actor("komelf/rag-content-quality-auditor").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 RAG Content Quality Auditor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: