👁 LLM-Ready Web Scraper – RAG & Vertical Data Extraction avatar

LLM-Ready Web Scraper – RAG & Vertical Data Extraction

Pricing

from $5.00 / 1,000 url crawleds

👁 LLM-Ready Web Scraper – RAG & Vertical Data Extraction

LLM-Ready Web Scraper – RAG & Vertical Data Extraction

Scrapes any URL and returns clean LLM-ready content. Strips ads, nav, and boilerplate. Returns markdown, chunked text, token estimates, and metadata. Vertical modes for Legal, Medical, Property, E-commerce, Research, and News. Firecrawl alternative at $0.005 per URL.

Pricing

from $5.00 / 1,000 url crawleds

Rating

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Developer

👁 joseph fadero

joseph fadero

Maintained by Community

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Monthly active users

13 days ago

Last modified

LLM-Ready Web Scraper – RAG Data Extraction with Vertical Processing

The affordable Firecrawl alternative. $0.005 per URL. No subscription.

Scrapes any public URL and returns clean, structured content optimised for LLMs and RAG pipelines — stripped of navigation, ads, cookie banners, and HTML boilerplate.

What makes it different

Vertical processing modes — Legal, Medical, Property, E-commerce, Research, and News modes apply domain-specific extraction rules for better content quality
RAG-ready chunking — splits content into configurable token-sized chunks ready for embedding
Token estimation — every result includes estimated token count so you know your LLM context usage upfront
Pay per URL — $0.005/URL, no subscription

Use cases

Feed RAG pipelines with fresh web content for Claude, GPT-4, or LlamaIndex
Build AI agents that need live web data
n8n/Make: scrape URLs from a spreadsheet → get clean markdown → send to your LLM
Research aggregation: scrape multiple sources → chunk → embed → search
Legal research: extract clean text from case law and statutes
Property analysis: extract listing descriptions for AI comparison

Pricing

Event	Price
Run started	$0.05
URL crawled (no chunks)	$0.005
URL crawled (with chunking)	$0.008
URL failed	$0.001

100 URLs = $0.55 total. Firecrawl Hobby plan: $19/month for 500 URLs.

Input

Field	Default	Description
urls	required	Array of URLs to scrape
outputFormat	markdown	markdown / plaintext / json
vertical	general	general / legal / medical / property / ecommerce / research / news
chunkContent	false	Split into RAG-sized chunks
chunkTokenSize	512	Target tokens per chunk (128–4096)
includeMetadata	true	Include title, author, dates, word/token count
removeElements	[]	Extra CSS selectors to strip
followLinks	false	Follow internal links from starting URLs
maxDepth	1	Link follow depth (1–3)
maxPagesPerUrl	10	Max pages per starting URL

Output fields

url, sourceUrl, crawledAt
title, description, author, publishDate, language
wordCount, estimatedTokens
content — clean text in chosen format
vertical — which extraction mode was applied
chunks — array of { index, content, tokenEstimate } when chunking enabled
status — success / failed / partial
chargedEvent

Example n8n workflow

Apify node → this actor → Claude AI node → Google Sheets

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URL: https://apify.com/conceivable_extension/llm-ready-web-scraper