# MLS Standings Scraper (`parseforge/mlssoccer-standings-scraper`) Actor
Grab MLS standings from MLSsoccer.com with team, conference, position, played, wins, draws, losses, goals for, goals against, goal difference, points, points per game, form, and season. Filter by season and conference. Useful for soccer analytics, fan apps, and league trend dashboards.
- **URL**: https://apify.com/parseforge/mlssoccer-standings-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## โฝ MLS Soccer Standings Scraper
> ๐ **Export MLS standings in seconds. Eastern, Western, full table - direct from mlssoccer.com.**
> ๐ **Last updated:** 2026-05-29 ยท **๐ 17 fields** per team ยท Eastern and Western conferences ยท Live standings ยท Form, PPG, goal difference
The MLS Soccer Standings Scraper queries the public mlssoccer.com sport API for live league standings. Get every team's position, points, goals, and recent form in one structured dataset.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| โฝ Soccer fans | Track your team's progress |
| ๐ Sports analysts | Build season-long datasets |
| ๐ฐ Sports journalists | Pull tables for stories |
| ๐ค ML engineers | Train MLS prediction models |
| ๐ฉโ๐ป Developers | Mirror MLS data into your app |
### ๐ What the MLS Soccer Standings Scraper does
- Queries the mlssoccer.com sport API.
- Returns full Eastern + Western standings.
- Includes position, played, wins, draws, losses, GF, GA, GD, points, PPG, form.
- Exports CSV, Excel, JSON, JSONL, XML, RSS, HTML.
> ๐ก **Why it matters:** MLS standings update live during matchdays. This actor gives you a snapshot in one API call.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
season
integer
No
Season year. Defaults to current.
conference
enum
No
both, eastern, western.
maxItems
integer
No
Free 10, paid up to 1,000,000.
**Example 1:**
```json
{ "season": 2026, "maxItems": 30 }
````
**Example 2:**
```json
{ "conference": "eastern", "maxItems": 15 }
```
> โ ๏ธ **Good to Know:** Standings reflect the latest results pushed to MLS's API.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ผ๏ธ `imageUrl` | string | Team crest. |
| โฝ `team` | string | Team name. |
| ๐ `conference` | string | Eastern or Western. |
| ๐ฅ `position` | number | Standings position. |
| ๐ฎ `played` | number | Games played. |
| โ `wins` | number | Wins. |
| ๐ค `draws` | number | Draws. |
| โ `losses` | number | Losses. |
| โฝ `gf` | number | Goals for. |
| ๐ฅ `ga` | number | Goals against. |
| ๐ `gd` | number | Goal difference. |
| ๐ `points` | number | Total points. |
| ๐ `ppg` | number | Points per game. |
| ๐ฅ `form` | string | Last 5 form (WDLWW). |
| ๐ `season` | number | Season year. |
| ๐ `scrapedAt` | string | Fetched at. |
| โ `error` | string | Set on error. |
### โจ Why choose this Actor
| โฝ | Real MLS data, official source. |
| โก | Single API call. |
| ๐ | PPG and form included. |
| ๐งน | Flat schema, BI-ready. |
| ๐พ | CSV / Excel / JSON / XML export. |
### ๐ How it compares to alternatives
| Approach | Setup | Live | Form |
|---|---|---|---|
| HTML scrape | 1 hr | brittle | manual |
| **This Actor** | 5 sec | yes | yes |
### ๐ How to use
1. Click **Try for free**.
2. Pick a season (or leave default).
3. Click **Start**.
### ๐ผ Business use cases
**๐ Fantasy MLS.** Pull weekly standings for projections.
**๐ฐ Newsroom.** Instant tables.
**โฝ Clubs.** Track rivals.
**๐ค Modelling.** Build prediction features.
### ๐ Automating MLS Soccer Standings Scraper
- **Make / Zapier**: weekly digest.
- **Cron**: matchday refresh.
- **Webhooks**: instant push.
- **BigQuery**: native pipeline.
### ๐ Beyond business use cases
**๐ Education.** Sports analytics teaching.
**๐งช Personal.** Track your favourite team.
**๐ค Non-profit.** Community-league dashboards.
**๐งฐ Tinkering.** Discord standings bot.
### ๐ค Ask an AI assistant about this scraper
Drop this README into your favourite LLM for pipeline ideas.
### โ Frequently Asked Questions
**โ API key?** No.
**โ Both conferences?** Yes.
**โ Form?** Yes, last 5.
**โ Historical?** Yes via `season`.
**โ Format?** CSV, Excel, JSON, JSONL, XML, RSS, HTML.
**โ Schedule?** Yes.
**โ Rate-limited?** Reasonable use.
**โ Free tier?** 10 teams preview.
**โ Schema stable?** Core fields stable.
**โ Crest URLs?** Yes.
### ๐ Integrate with any app
Make, Zapier, Slack, Discord, Drive, Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, REST/webhook.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge Bundesliga Stats Scraper](https://apify.com/parseforge/bundesliga-stats-scraper) | German Bundesliga player stats. |
| [ParseForge LaLiga Stats Scraper](https://apify.com/parseforge/laliga-stats-scraper) | Spanish LaLiga stats. |
| [ParseForge PGA Tour Scraper](https://apify.com/parseforge/pgatour-leaderboard-scraper) | Golf leaderboards. |
| [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Markets data. |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ scrapers.
***
**Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with Major League Soccer. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `season` (type: `integer`):
Season year (e.g. 2026). Defaults to current year.
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `conference` (type: `string`):
Filter by conference.
## Actor input object example
```json
{
"maxItems": 10,
"conference": "both"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/mlssoccer-standings-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/mlssoccer-standings-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/mlssoccer-standings-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/mlssoccer-standings-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "MLS Standings Scraper",
"description": "Grab MLS standings from MLSsoccer.com with team, conference, position, played, wins, draws, losses, goals for, goals against, goal difference, points, points per game, form, and season. Filter by season and conference. Useful for soccer analytics, fan apps, and league trend dashboards.",
"version": "0.1",
"x-build-id": "gUUaZdyAcm15BMipQ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~mlssoccer-standings-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-mlssoccer-standings-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~mlssoccer-standings-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-mlssoccer-standings-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~mlssoccer-standings-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-mlssoccer-standings-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"season": {
"title": "Season",
"type": "integer",
"description": "Season year (e.g. 2026). Defaults to current year."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"conference": {
"title": "Conference",
"enum": [
"both",
"eastern",
"western"
],
"type": "string",
"description": "Filter by conference.",
"default": "both"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```