extract_with_llm

curl -X POST https://crawlforge.dev/api/v1/tools/extract_with_llm \
  -H "X-API-Key: cf_test_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/article/42",
    "prompt": "Extract the headline, author, and three key takeaways",
    "provider": "ollama"
  }'

// npm install crawlforge-sdk
import { CrawlForge } from 'crawlforge-sdk';

const client = new CrawlForge({ apiKey: process.env.CRAWLFORGE_API_KEY });

const result = await client.extractWithLlm({
  url: 'https://example.com/product/123',
  prompt: 'Extract product name, price in USD, and stock status',
  provider: 'openai',
  model: 'gpt-4o-mini',
  schema: {
    type: 'object',
    properties: {
      title: { type: 'string' },
      price: { type: 'number' },
      in_stock: { type: 'boolean' },
    },
    required: ['title', 'price'],
  },
});

// result.data is untyped in crawlforge-sdk 0.1 — its shape is the Response Example below.
const { extracted } = result.data as {
  extracted: { title: string; price: number; in_stock: boolean };
};
console.log(extracted);

# pip install crawlforge
from crawlforge import CrawlForge

client = CrawlForge()  # reads CRAWLFORGE_API_KEY

result = client.extract_with_llm(
    url='https://example.com/article/42',
    prompt='Extract headline, author, publish date (ISO 8601), and tags',
    provider='anthropic',
    model='claude-haiku-4-5-20251001',
    schema={
        'type': 'object',
        'properties': {
            'headline': {'type': 'string'},
            'author': {'type': 'string'},
            'published_at': {'type': 'string'},
            'tags': {'type': 'array'},
        },
        'required': ['headline'],
    },
)

# result.data is a plain dict — its shape is the Response Example below.
print(result.data['extracted'])