Pricing

from $0.20 / 1,000 page scrapeds

Docs-to-RAG AI Crawler

Stop wasting space on website headers, footers, cookie banners, and navigation menus. Extract clean body text, chunk it for RAG, and detect page changes across runs crawling public docs, blogs, and knowledge bases,

Pricing

from $0.20 / 1,000 page scrapeds

Rating

0.0

(0)

Developer

charitable_jeopardy

Actor stats

Bookmarked

Total users

Monthly active users

6 hours ago

Last modified

Categories

Developer tools

Automation

You can access the Docs-to-RAG AI 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://example.com/" }],
10    "sitemapUrls": [],
11    "maxPagesPerSite": 1,
12    "includePatterns": [],
13    "excludePatterns": [],
14    "crawlDepth": 0,
15    "maxCrawlRetries": 1,
16    "useBrowserRendering": False,
17    "languageDetection": True,
18    "chunkText": False,
19    "chunkSize": 1000,
20    "chunkOverlap": 150,
21    "outputFormat": "pages",
22    "detectChanges": False,
23    "storeRawHtml": False,
24    "storeCleanText": True,
25}
26
27# Run the Actor and wait for it to finish
28run = client.actor("charitable_jeopardy/webscraperap").call(run_input=run_input)
29
30# Fetch and print Actor results from the run's dataset (if there are any)
31print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
32for item in client.dataset(run["defaultDatasetId"]).iterate_items():
33    print(item)
34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI & RAG Doc Ingester API in Python

The Apify API client for Python is the official library that allows you to use Docs-to-RAG AI Crawler API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Docs-to-RAG AI Crawler API in JavaScript

Docs-to-RAG AI Crawler API through CLI

Docs-to-RAG AI Crawler OpenAPI definition

Docs-to-RAG AI Crawler API

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