# Models Dev Ai Model Catalog Scraper (`kawsar/models-dev-ai-model-catalog-scraper`) Actor

Collect an open catalog of LLMs from models.dev into clean JSON, CSV, or Excel. Scrape all providers or filter by provider ID to compare pricing, context limits, modalities, and capabilities instantly. Run with custom row caps and optional request delays

- **URL**: https://apify.com/kawsar/models-dev-ai-model-catalog-scraper.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## models.dev AI Model Catalog Scraper

![models.dev AI Model Catalog Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/models-dev-ai-model-catalog-scraper-cover.png)

Collect a structured catalog of Large Language Models, covering pricing, context windows, capabilities, and modalities across various providers. Choose all providers or narrow your focus to specific ones, set an item limit, and export your data directly into JSON, CSV, or Excel formats.

### What it does

This actor flattens model details into ready-to-use dataset rows. Each record organizes core metrics such as pricing structures, token context limits, input/output modalities, and feature flags. so you can easily evaluate and compare models side by side without searching manually.

### Modes

- **All providers & models**: Extract every provider and model into a single dataset.
- **Filter provider**: Target specific providers (for example, `openai` or `anthropic`).

### Input example

```json
{
  "mode": "all",
  "maxItems": 50,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

```

Filter mode example:

```json
{
  "mode": "provider",
  "providers": ["openai", "anthropic"],
  "maxItems": 100
}

```

### Output example

```json
{
  "provider": "deepinfra",
  "providerName": "Deep Infra",
  "modelId": "tencent/Hy3",
  "name": "Hy3",
  "modelSummary": "Tencent Hy reasoning model for coding, instruction following, and agent tasks",
  "family": "Hy",
  "attachment": false,
  "reasoning": true,
  "reasoningOptions": [],
  "toolCall": true,
  "structuredOutput": true,
  "temperature": true,
  "releaseDate": "2026-07-06",
  "lastUpdated": "2026-07-06",
  "modalities": {
    "input": ["text"],
    "output": ["text"]
  },
  "openWeights": true,
  "limit": {
    "context": 262144,
    "input": 192000,
    "output": 128000
  },
  "modelStatus": "deprecated",
  "cost": {
    "input": 0.13,
    "output": 0.53,
    "cache_read": 0.033
  },
  "canonicalModelId": "tencent/hy3",
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}

```

The dataset view highlights key attributes like `provider`, `providerName`, `modelId`, `name`, `modelSummary`, `family`, and capability flags.

### Use cases

- **Model comparison**: Build clean spreadsheets to compare costs and token limits across different AI providers.
- **Capability audits**: Quickly filter models by features like reasoning, tool calling, or open weights.
- **Product research**: Track model releases, updates, and deprecations over time.
- **Pipeline feeds**: Keep internal dashboards and analytics tools updated with the latest model specs on a set schedule.

### FAQ

**Who is this for?**

Developers, product managers, and data analysts who need structured model metrics for research, benchmarking, or integration.

**What formats can I export?**

You can download data in JSON, CSV, Excel, and other standard Apify export options.

**Can I run it on a schedule?**

Yes, you can configure automatic schedules within Apify to refresh your data periodically.

**What happens if a request fails?**

The actor continues running and records an error entry rather than halting the process.

### Trademark Notice

models.dev and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the source of the data and does not imply affiliation, sponsorship, endorsement, or partnership.

### Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with models.dev or its owners. All data is collected from publicly available sources. Users are responsible for complying with the source's terms of use and attribution requirements.

### Is web scraping legal?

This actor extracts publicly accessible data without bypassing security controls or technical protection layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

- **Personal data**: When collecting identifiers like emails, phone numbers, or social handles, ensure compliance with applicable data protection laws such as GDPR or CCPA.
- **Copyrighted content**: Public text, images, and visual assets are often protected by intellectual property rights. Avoid directly duplicating or re-distributing full creative works.
- **Platform terms & rate limits**: Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to rate limits, and respecting published platform policies.
- **Disclaimer**: This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.

For a detailed guide, see Apify's legal overview: [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)

# Actor input Schema

## `mode` (type: `string`):

What to scrape. All flattens every provider. Filter provider keeps only the provider ids you list.

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

Provider ids used in Filter provider mode (for example openai, anthropic).

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait before each request.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "all",
  "providers": [
    "openai",
    "anthropic"
  ],
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {
    "providers": [
        "openai",
        "anthropic"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/models-dev-ai-model-catalog-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 = { "providers": [
        "openai",
        "anthropic",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/models-dev-ai-model-catalog-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 '{
  "providers": [
    "openai",
    "anthropic"
  ]
}' |
apify call kawsar/models-dev-ai-model-catalog-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/models-dev-ai-model-catalog-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/YjLVXVytX0IdjCdnV/builds/EmzH1sP6TAFIhpvbn/openapi.json