RAG-Ready Website Research & Knowledge Crawler
Pricing
from $2.10 / 1,000 results
Turn public web pages into clean research records with text quality, provenance, fingerprints, chunk-ready content and change signals for RAG and AI-agent pipelines.
You can access the RAG-Ready Website Research & Knowledge Crawler 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 "currentItems": [10 {11 "id": "r1",12 "url": "https://docs.example.com/guide",13 "title": "API Guide",14 "description": "Integration documentation",15 "text": "This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. This guide explains authentication, endpoints, pagination, retries and examples. ",16 "headings": [17 "Authentication",18 "Endpoints",19 "Pagination",20 ],21 "jsonLd": [{ "@type": "TechArticle" }],22 },23 {24 "id": "r2",25 "url": "https://docs.example.com/changelog",26 "title": "Changelog",27 "description": "Product updates",28 "text": "Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. Version 2.4 adds batch operations and retry controls. ",29 "headings": ["Version 2.4"],30 },31 ],32 "previousItems": [{33 "id": "r1",34 "url": "https://docs.example.com/guide",35 "title": "API Guide",36 "description": "Integration documentation",37 "text": "This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. This guide explains authentication, endpoints and examples. ",38 "headings": [39 "Authentication",40 "Endpoints",41 ],42 "jsonLd": [{ "@type": "TechArticle" }],43 }],44}45
46# Run the Actor and wait for it to finish47run = client.actor("quanmatrix/rag-ready-web-research-crawler").call(run_input=run_input)48
49# Fetch and print Actor results from the run's dataset (if there are any)50print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")51for item in client.dataset(run.default_dataset_id).iterate_items():52 print(item)53
54# 📚 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-Ready Website Research & Knowledge Crawler API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: