LLM Price Scraper

Scrape AI model pricing from provider pages using agent-browser. Supports multiple pricing types: token-based, per-image, per-second, per-request, and free.

Workflow

1) Scrape a provider URL

When user provides a URL to analyze:

agent-browser open <url>
agent-browser snapshot -i

Analyze the snapshot to find pricing data. If data is hidden behind tabs/buttons (e.g., "所有模型", "All Models"), click to reveal:

agent-browser click @<ref>    # Click tab/button to show all models
agent-browser snapshot -i     # Get updated view

2) Extract pricing data

Identify the pricing type for each model and extract accordingly:

Token-based models (LLM):

• pricing_type: "token"
• input_price: Input price per 1M tokens
• output_price: Output price per 1M tokens
• cache_price: Cache price (optional)

Image generation models:

• pricing_type: "per_image"
• price: Price per image
• price_unit: "image"

Video generation models:

• pricing_type: "per_second"
• price: Price per second
• price_unit: "second"

Other pricing:

• pricing_type: "per_request" / "per_minute" / "per_chars" / "free"
• price: Unit price
• price_unit: "request" / "minute" / "100chars" etc.

Price normalization for tokens: Convert to per-1M-token:

• /Mt or /M = already per 1M tokens
• /Kt or /K = multiply by 1000

3) Save to JSON

Save extracted data to prices/<provider>.json:

{
  "provider": "qiniu",
  "url": "https://www.qiniu.com/ai/models",
  "currency": "CNY",
  "retrieved_at": "2026-01-21T10:30:00Z",
  "models": [
    {
      "model": "DeepSeek-V3.2",
      "pricing_type": "token",
      "input_price": 2,
      "output_price": 3
    },
    {
      "model": "Kling-V2-1",
      "pricing_type": "per_second",
      "price": 0.4,
      "price_unit": "second"
    },
    {
      "model": "Kling-V1",
      "pricing_type": "per_image",
      "price": 0.025,
      "price_unit": "image"
    },
    {
      "model": "Mimo-V2-Flash",
      "pricing_type": "free"
    }
  ]
}

4) Merge results

When user says "merge" or "合并", run the merge script:

node scripts/merge_prices.js --in-dir prices --out prices.json --csv prices.csv

This combines all prices/*.json into a single prices.json and prices.csv.

Output Schema

Each model object supports these fields:

Field	Type	Description
model	string	Model name
pricing_type	string	token / per_image / per_second / per_request / per_minute / free
input_price	number	Token input price per 1M (token type only)
output_price	number	Token output price per 1M (token type only)
cache_price	number	Token cache price per 1M (optional)
price	number	Unit price (non-token types)
price_unit	string	second / image / request / minute / 100chars
context_length	number	Max context window (optional)

Resources

• scripts/merge_prices.js: Merge per-provider JSON files into consolidated output