# Lichess Player Scraper — Ratings & Stats (`hipersoft/lichess-scraper`) Actor

Scrape Lichess player data in bulk: title, real name, country, FIDE rating and ratings for bullet, blitz, rapid, classical, correspondence and puzzles, plus games played, win/loss/draw counts, play time and account age. Just pass usernames. One row per player as JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/lichess-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0004 / player scraped

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

## Lichess Player Scraper — Ratings & Stats

Pull **Lichess player data** in bulk with the **Lichess Player Scraper**. Pass a list of usernames and export each player's **title, real name, country, FIDE rating and ratings for bullet, blitz, rapid, classical, correspondence and puzzles** — plus games played, win/loss/draw counts, play time and account age — one clean row per player as **JSON, CSV or Excel**.

Built for **chess coaches and analysts, tournament organisers, chess apps and leaderboards, and research**, it turns a list of usernames into a structured ratings dataset.

### What it does

- ♟️ **Ratings across variants** — bullet, blitz, rapid, classical, correspondence and puzzle ratings.
- 📊 **Game record** — total and rated games with win/loss/draw counts.
- 🏅 **Identity** — title (GM, IM…), real name, country and FIDE rating.
- ⏱️ **Activity** — total play time, account creation date, last-seen and online status.
- 📤 **Export anywhere** — JSON, CSV or Excel, or straight into a leaderboard, sheet or app.

### Example output

```json
{
  "username": "penguingm1",
  "title": "GM",
  "realName": "Andrew Tang",
  "bulletRating": 2542,
  "blitzRating": 1027,
  "rapidRating": 1516,
  "fideRating": 2461,
  "gamesTotal": 3281,
  "wins": 2391, "losses": 832, "draws": 58
}
```

### How to use it

1. Add a list of **usernames** (or profile URLs).
2. Set **Max players** if you want a cap.
3. Run, and download the results as **JSON, CSV or Excel**.

### Input fields

| Field | Description |
|-------|-------------|
| **Lichess usernames** | Usernames or profile URLs to look up. |
| **Max players** | Maximum players to process (0 = no limit). |

### Output fields

`username`, `found`, `title`, `patron`, `verified`, `realName`, `country`, `fideRating`, `bio`, `bulletRating`, `blitzRating`, `rapidRating`, `classicalRating`, `correspondenceRating`, `puzzleRating`, `gamesTotal`, `gamesRated`, `wins`, `losses`, `draws`, `playTimeHours`, `createdAt`, `lastSeen`, `online`, `url`.

### Popular use cases

- **Coaching & analysis** — pull ratings and records for a group of students.
- **Tournaments & clubs** — build leaderboards and seed by rating.
- **Chess apps** — power profile and rating displays.
- **Research** — study rating distributions across variants and players.
- **Community tools** — track members' ratings and activity over time.

### FAQ

**Do I need an account or key?**
No. Add usernames and run — only public player data is collected.

**Which ratings are included?**
Bullet, blitz, rapid, classical, correspondence and puzzle ratings, plus FIDE rating where set.

**Can I look up many players at once?**
Yes — add a list of usernames and each is processed individually.

**Can I export to Excel or Google Sheets?**
Yes — results download as JSON, CSV or Excel and integrate with Sheets, apps and leaderboards.

***

Bulk **Lichess player profiles and ratings** — across every variant, with game records and FIDE — clean and export-ready for coaching, tournaments and apps.

# Actor input Schema

## `usernames` (type: `array`):

Lichess usernames or profile URLs — e.g. 'thibault', 'penguingm1'. Each is looked up individually.

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

Maximum number of players to process (0 = no limit).

## Actor input object example

```json
{
  "usernames": [
    "thibault",
    "penguingm1"
  ],
  "maxItems": 0
}
```

# Actor output Schema

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

The results as dataset items.

# 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 = {
    "usernames": [
        "thibault",
        "penguingm1"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/lichess-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 = { "usernames": [
        "thibault",
        "penguingm1",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/lichess-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 '{
  "usernames": [
    "thibault",
    "penguingm1"
  ]
}' |
apify call hipersoft/lichess-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/lichess-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/qio7dPxIgkfZNzrSb/builds/VLQPjRC98tit0NdTk/openapi.json