# AI Model Pricing Tracker (`lulzasaur/ai-pricing-scraper`) Actor

Track and compare AI model pricing across 10+ providers. Get input/output token costs for OpenAI, Anthropic, Google, Mistral, Cohere, DeepSeek, Meta and more. Detect price changes over time.

- **URL**: https://apify.com/lulzasaur/ai-pricing-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** Other
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Model Pricing Tracker

Track and compare AI model pricing across 10+ providers in one scrape. Get input/output token costs, context windows, and model categories for all major LLM APIs.

### Supported Providers

| Provider | Models | Source |
|----------|--------|--------|
| OpenAI | GPT-4o, GPT-4, o1, o3, etc. | platform.openai.com/docs/pricing |
| Anthropic | Claude 4.6, Claude 4.5, Haiku, etc. | docs.anthropic.com |
| Google | Gemini 2.5, Gemini 2.0, etc. | ai.google.dev/pricing |
| Mistral | Mistral Large, Medium, Small | mistral.ai |
| Cohere | Command R+, Command R | cohere.com/pricing |
| DeepSeek | DeepSeek-V3, DeepSeek-R1 | api-docs.deepseek.com |
| Together AI | Llama, Mixtral, hosted models | together.ai/pricing |
| xAI | Grok-2, Grok-3 | docs.x.ai |
| Amazon Bedrock | Cross-provider hosted models | aws.amazon.com/bedrock |

### Output Fields

| Field | Description |
|-------|-------------|
| `provider` | AI provider name |
| `model` | Model identifier |
| `inputPricePer1M` | Cost per 1M input tokens (USD) |
| `outputPricePer1M` | Cost per 1M output tokens (USD) |
| `contextWindow` | Max context window size |
| `category` | Model category: flagship, small, code, embedding, audio, image, general |
| `sourceUrl` | Pricing page URL |
| `scrapedAt` | ISO timestamp |

### Use Cases

- **Cost optimization**: Compare providers for the same task
- **Price monitoring**: Detect when providers change pricing
- **Benchmarking**: Build cost/performance dashboards
- **Procurement**: Evaluate AI API spend across vendors

### Input Options

- **Providers**: Select specific providers or scrape all
- **Model Filter**: Filter by model name (e.g., "gpt-4", "claude", "gemini")
- **Proxy**: Optional proxy configuration for reliability

### Example Output

```json
{
  "provider": "Anthropic",
  "model": "Claude Opus 4.6",
  "inputPricePer1M": 15,
  "outputPricePer1M": 75,
  "contextWindow": "200K",
  "category": "flagship",
  "sourceUrl": "https://docs.anthropic.com/en/docs/about-claude/models",
  "scrapedAt": "2026-04-14T12:00:00.000Z"
}
```

### Notes

- Pricing pages change frequently. If a provider returns `PARSE_FAILED`, the page structure may have been updated.
- Prices are normalized to per-1M tokens where possible.
- Run daily or weekly to build a historical price dataset.

***

### Run on Apify

This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features.

[Try Apify free →](https://apify.com/?fpr=lulzasaur)

# Actor input Schema

## `providers` (type: `array`):

Which AI providers to scrape. Leave empty for all providers.

## `modelFilter` (type: `string`):

Filter models by name (case-insensitive substring match). E.g. 'gpt-4' or 'claude' or 'gemini'.

## `proxyConfiguration` (type: `object`):

Optional proxy to use.

## Actor input object example

```json
{
  "providers": [],
  "modelFilter": ""
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/ai-pricing-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/ai-pricing-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call lulzasaur/ai-pricing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/ai-pricing-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/lVzqLdQJY8mNbogmj/builds/vcgnfcZGgwdIah8XQ/openapi.json