AI Model Pricing Scraper

This Apify Actor scrapes live AI model pricing from the official websites of OpenAI, Anthropic, Google Gemini, and Mistral — all in a single run. It returns structured data including input and output price per 1 million tokens, context window size, and a timestamp, so you always have up-to-date pricing without manually checking four different websites.

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Input Parameters

Field	Type	Required	Default	Description
providers	Array of strings	No	["openai", "anthropic", "gemini", "mistral"]	Which providers to scrape. Omit this field to scrape all four providers.

Accepted values for providers: "openai", "anthropic", "gemini", "mistral"

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Output Fields

Each item pushed to the dataset represents one AI model and contains:

Field	Type	Description
provider	String	Provider name, e.g. "OpenAI"
modelName	String	Human-readable model name, e.g. "gpt-4o"
modelId	String	API identifier of the model, e.g. "gpt-4o-2024-08"
inputPricePer1MTokens	Number	Cost in USD per 1 million input tokens, e.g. 5.00
outputPricePer1MTokens	Number	Cost in USD per 1 million output tokens, e.g. 15.00
contextWindow	String	Maximum context window size, e.g. "128k"
lastScraped	String	ISO 8601 timestamp of when the data was collected

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Example Input

{
  "providers": ["openai", "anthropic"]
}

To scrape all four providers, send an empty input or omit the field entirely:

{}

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Example Output

[
  {
    "provider": "OpenAI",
    "modelName": "gpt-4o",
    "modelId": "gpt-4o-2024-08",
    "inputPricePer1MTokens": 5.00,
    "outputPricePer1MTokens": 15.00,
    "contextWindow": "128k",
    "lastScraped": "2026-05-10T12:00:00.000Z"
  },
  {
    "provider": "Anthropic",
    "modelName": "claude-3-5-sonnet-20241022",
    "modelId": "claude-3-5-sonnet-20241022",
    "inputPricePer1MTokens": 3.00,
    "outputPricePer1MTokens": 15.00,
    "contextWindow": "200k",
    "lastScraped": "2026-05-10T12:01:34.000Z"
  },
  {
    "provider": "Google Gemini",
    "modelName": "gemini-1.5-pro",
    "modelId": "gemini-1.5-pro",
    "inputPricePer1MTokens": 3.50,
    "outputPricePer1MTokens": 10.50,
    "contextWindow": "1M",
    "lastScraped": "2026-05-10T12:02:58.000Z"
  }
]

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Use Case Ideas

• Cost optimisation — Compare prices across providers and programmatically pick the cheapest model that meets your quality threshold.
• Price alerts — Schedule this Actor to run daily and trigger a notification (via Make, n8n, or Zapier) whenever a price changes.
• AI budget tracking — Feed pricing data into a spreadsheet or dashboard to forecast monthly LLM spend based on token usage.
• Competitive analysis — Track how providers adjust prices over time and spot market trends.
• Automation integrations — Connect the dataset to n8n, Make, or Zapier to automatically update internal pricing tables, Notion databases, or Slack channels whenever new data is scraped.

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Running Locally

# Install dependencies
npm install

# Run the Actor
npm start

Set your APIFY_TOKEN environment variable if you want data pushed to the Apify cloud dataset. Without it the Actor writes data locally to ./storage/datasets/default/.

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Tech Stack

• Node.js 18+
• Apify SDK — Actor lifecycle, input/output handling
• Crawlee — PlaywrightCrawler for JS-rendered pages
• playwright-extra + stealth plugin — avoid bot detection