# ML Conference Finder: NeurIPS, ICLR & ICML Alternatives (`h1018y/anvil-ml-conference-finder`) Actor

Finds machine learning conferences, journals and workshops for your topic: venues ranked by matching papers over the last 3 years, with OpenReview acceptance numbers where available. Alternatives to NeurIPS, ICLR and ICML in one table.

- **URL**: https://apify.com/h1018y/anvil-ml-conference-finder.md
- **Developed by:** [ANVIL Tools](https://apify.com/h1018y) (community)
- **Categories:** AI, Education, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.
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

## ML Conference Finder: NeurIPS, ICLR & ICML Alternatives

**ML Conference Finder** - Type your paper topic and get a ranked list of ML conferences and journals, other than NeurIPS, ICLR and ICML, that actually publish it.

### What does ML Conference Finder do?

Topic-to-venue ranking: for each keyword you get a table of venues (TMLR, COLM, AISTATS, UAI, CoLLAs, workshops and so on). Each row shows papers on that topic published there per year over the last 3 years, plus OpenReview submitted/accepted counts and the acceptance rate where the venue is public

- Input a topic or a few keywords and get venues ranked by how many matching papers they published in the last 3 years
- Acceptance counts and rate from public OpenReview venue data, where the venue is on OpenReview
- Venue type per row (conference, journal, workshop) and a link to the venue page, so you can check the deadlines yourself
- Option to leave out NeurIPS, ICLR and ICML, or any venues you name
- Flat CSV/JSON output, one row per venue, ready to open in a spreadsheet

### Why this ML Conference Finder?

The low cases fail because they are near-copies of bigger Actors (more YouTube scrapers) or serve a tiny niche with no clear reason to pick them over the leader. This ML Conference Finder checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

### How to use ML Conference Finder

1. Press **Start** - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an **Apify Schedule** to get fresh rows every day.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

#### Input example

```json
{
  "keywords": [
    "federated learning"
  ],
  "years": 3,
  "max_venues": 5
}
```

#### Output example (a real run)

```json
[
  {
    "keyword": "federated learning",
    "venue": "IEEE Access",
    "venue_id": "https://openalex.org/S2485537415",
    "total_papers": 1504,
    "papers_by_year": {
      "2023": 656,
      "2024": 517,
      "2025": 331
    },
    "rank": 1
  },
  {
    "keyword": "federated learning",
    "venue": "Scientific Reports",
    "venue_id": "https://openalex.org/S196734849",
    "total_papers": 1407,
    "papers_by_year": {
      "2023": 105,
      "2024": 276,
      "2025": 1026
    },
    "rank": 2
  }
]
```

One flat row per result.

### How much does ML Conference Finder cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the **Pricing** tab. Apify's free plan credit is enough to try it on real input.

### Also searched as

- alternatives to NeurIPS
- ML conference venues
- where to submit ML paper
- OpenReview acceptance rate
- ICLR ICML alternative
- machine learning conferences list

### FAQ

**Does ML Conference Finder need a login, cookies or an API key?** No. It reads public pages only.

**Can I run ML Conference Finder on a schedule?** Yes - with Apify Schedules; each run returns fresh rows.

**Can I call it from Python, JavaScript or an AI agent?** Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

**Is it legal?** It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

**What if the site blocks a request?** The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Data source: [openreview.net](https://openreview.net)

### More tools from this developer

- [Tweet Scraper: Tweet Details by URL, No Login or Cookies](https://apify.com/h1018y/anvil-tweet-scraper)
- [YouTube Thumbnail Downloader: Bulk, Every Size & Titles](https://apify.com/h1018y/anvil-youtube-thumbnail-downloader)
- [YouTube Transcript Search: Every Moment a Word Is Said](https://apify.com/h1018y/anvil-youtube-transcript-scraper)
- [Facebook Ads Library Scraper: Only New Ads & Days Running](https://apify.com/h1018y/anvil-facebook-ads-library-scraper)
- [Reddit Scraper: Keyword Alerts for New Posts & Comments](https://apify.com/h1018y/anvil-reddit-scraper)
- [Twitter Scraper: New Tweets From Any X Account, No Login](https://apify.com/h1018y/anvil-twitter-scraper)

# Actor input Schema

## `keywords` (type: `array`):

Research topics, up to 5 (e.g. federated learning)

## `years` (type: `integer`):

How many past full years to count (1-5)

## `max_venues` (type: `integer`):

How many top venues to return per topic (1-50)

## Actor input object example

```json
{
  "keywords": [
    "federated learning"
  ],
  "years": 3,
  "max_venues": 5
}
```

# Actor output Schema

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

All result rows (open as table, JSON, CSV or Excel).

# 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 = {
    "keywords": [
        "federated learning"
    ],
    "years": 3,
    "max_venues": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("h1018y/anvil-ml-conference-finder").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 = {
    "keywords": ["federated learning"],
    "years": 3,
    "max_venues": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("h1018y/anvil-ml-conference-finder").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 '{
  "keywords": [
    "federated learning"
  ],
  "years": 3,
  "max_venues": 5
}' |
apify call h1018y/anvil-ml-conference-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,h1018y/anvil-ml-conference-finder"
        }
    }
}
```

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/XpzpnXUMdKzMXLeyA/builds/lWxWTdv5IAZ4kYO4K/openapi.json