LLMLayer

LLMLayer is a web API for AI applications. Use one account and one API key to search the web, scrape pages, crawl websites, map URLs, extract structured data, process PDFs and YouTube transcripts, and generate web-grounded answers.

Get API Key

Create an account and start with free credits.

API Reference

Inspect every endpoint and schema.

Choose the Right API

Job	API	Use it when
Answer a question with current web context	Answer	You want an LLM response with optional sources/images
Get raw search results	Web Search	You want to rank, filter, or scrape results yourself
Scrape one page	Scraper	You need markdown, HTML, or a screenshot from a URL
Extract data from one page	Extract	You need schema-shaped data, a summary, Q&A, links, or brand data
Crawl multiple pages	Crawl	You need streamed markdown from a site
Discover URLs	Map	You need a URL inventory before scraping or crawling
Read a PDF	PDF Content	You need text from a public PDF URL
Read a YouTube video	YouTube Transcript	You need transcript text and video metadata

Install an SDK

pip install llmlayer

npm install llmlayer

First Request

from llmlayer import LLMLayerClient

client = LLMLayerClient(api_key="YOUR_LLMLAYER_API_KEY")

response = client.answer(
    query="What changed in AI regulation this week?",
    model="llmlayer-web",
    search_type="news",
    return_sources=True,
)

print(response.answer)
print(response.sources)

import { LLMLayerClient } from 'llmlayer';

const client = new LLMLayerClient({
  apiKey: process.env.LLMLAYER_API_KEY,
});

const response = await client.answer({
  query: 'What changed in AI regulation this week?',
  model: 'llmlayer-web',
  searchType: 'news',
  returnSources: true,
});

console.log(response.answer);
console.log(response.sources);

curl -X POST https://api.llmlayer.dev/api/v2/answer \
  -H "Authorization: Bearer YOUR_LLMLAYER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What changed in AI regulation this week?",
    "model": "llmlayer-web",
    "search_type": "news",
    "return_sources": true
  }'

Core Patterns

Structured extraction

program = client.extract(
    "https://www.ycombinator.com/about",
    modes=["json"],
    json_schema={
        "program": "string",
        "duration": "string",
        "funding": "string",
        "benefits": ["string"],
    },
)

print(program.structured_data)

Search then scrape

const search = await client.searchWeb({
  query: 'latest LLM evaluation research',
  domainFilter: ['arxiv.org', 'openai.com', '-reddit.com'],
});

const firstUrl = search.results[0]?.link;
if (typeof firstUrl === 'string') {
  const page = await client.scrape(firstUrl, {
    formats: ['markdown'],
    mainContentOnly: true,
  });
  console.log(page.markdown);
}

Stream a crawl

for event in client.crawl_stream("https://www.ycombinator.com", max_pages=10):
    if event.get("type") == "page":
        print(event["page"].get("final_url"))

Models

The currently documented model IDs are:

Model	Pricing style	Best for
`llmlayer-web`	Flat per query	Default web-grounded answers
`llmlayer-fast`	Flat per query	Lower latency answers
`openai/gpt-4o-mini`	Token priced + LLMLayer fee	Budget token-priced answers
`openai/gpt-5.1`	Token priced + LLMLayer fee	Premium reasoning

provider_key is accepted for backward compatibility but currently ignored; provider usage is not billed to the user’s provider account.

Pricing Snapshot

API	Cost
Answer	`$0.004 × max_queries` + model tokens, or flat LLMLayer model pricing
Web Search	`$0.002` per request
Scraper	`$0.001` per supported format
Extract	`$0.005` per AI mode, `$0.001` links, `$0.002` brand
Crawl	`$0.001` per successful page, reported in the usage event
Map	`$0.002` per request
YouTube Transcript	`$0.003` per request
PDF Content	`$0.002` per request

Use response cost fields and the dashboard ledger as billing source of truth.

Next Steps

Answer API

Generate web-grounded answers.

Extract API

Turn pages into structured data.

Examples

Copy production-shaped recipes.

Get Started

Resources

Examples

Introduction

LLMLayer

Get API Key

API Reference

Choose the Right API

Install an SDK

First Request

Core Patterns

Structured extraction

Search then scrape

Stream a crawl

Models

Pricing Snapshot

Next Steps

Answer API

Extract API

Examples

​LLMLayer

Get API Key

API Reference

​Choose the Right API

​Install an SDK

​First Request

​Core Patterns

​Structured extraction

​Search then scrape

​Stream a crawl

​Models

​Pricing Snapshot

​Next Steps

Answer API

Extract API

Examples

LLMLayer

Choose the Right API

Install an SDK

First Request

Core Patterns

Structured extraction

Search then scrape

Stream a crawl

Models

Pricing Snapshot

Next Steps