# ArXiv AI Research Tracker (`woven_dimple/my-actor-2`) Actor

Extracts the latest AI and machine learning research papers from arXiv's official API. Perfect for researchers, AI companies, and tech bloggers tracking breakthroughs. Pricing: $0.10 per 10 papers.

- **URL**: https://apify.com/woven\_dimple/my-actor-2.md
- **Developed by:** [Gideon Immelmann](https://apify.com/woven_dimple) (community)
- **Categories:** AI, News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $100.00 / 1,000 10 ai research papers

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## ArXiv AI Research Tracker

Extracts the latest AI and machine learning research papers from arXiv's official API.

Stay ahead of breakthroughs in artificial intelligence, machine learning, and deep learning — get titles, authors, abstracts, and direct links to papers published *today*.

### 🚀 Features

- **Official arXiv API:** Uses arXiv's public, open academic API — reliable and legal.
- **Daily Updates:** Always fetches the newest submissions in AI (cs.AI) and Machine Learning (cs.LG).
- **Clean Data:** Returns structured paper metadata ready for analysis.

### 📊 Sample Output

```json
[
  {
    "title": "Advances in Large Language Model Reasoning",
    "summary": "This paper presents novel techniques for improving chain-of-thought reasoning in LLMs...",
    "authors": "Smith, J., Johnson, A., Williams, R.",
    "publishedDate": "2026-08-22T00:00:00Z",
    "link": "http://arxiv.org/abs/2608.12345",
    "source": "arXiv"
  }
]
```

### 💡 Use Cases

- **AI Researchers:** Track the latest papers in your field without manually checking arXiv daily.
- **AI Companies:** Monitor competitor research and emerging techniques.
- **Tech Bloggers & Journalists:** Find trending papers to write about.
- **Students & Educators:** Stay current with cutting-edge research.

### 💰 Pricing

Pay-per-event: **$0.10 per 10 papers** + platform usage costs.
A full run (50 papers) costs just **$0.50** + usage.

### ⚙️ How to use

No setup required — click **Start** to get today's latest AI research papers.

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://crawlee.dev"
    }
  ],
  "maxRequestsPerCrawl": 100
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://crawlee.dev"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("woven_dimple/my-actor-2").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 = { "startUrls": [{ "url": "https://crawlee.dev" }] }

# Run the Actor and wait for it to finish
run = client.actor("woven_dimple/my-actor-2").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 '{
  "startUrls": [
    {
      "url": "https://crawlee.dev"
    }
  ]
}' |
apify call woven_dimple/my-actor-2 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,woven_dimple/my-actor-2"
        }
    }
}

```

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/SZw2ncMpyNhkUp3vQ/builds/ZaS3g1UcYZYT7LUN1/openapi.json