# Sports Betting Odds Scraper — NFL, NBA, MLB, NHL, Soccer Lines (`seemuapps/sports-odds-scraper`) Actor

Scrape live betting lines — moneyline, spread, total over/under. NFL, NBA, MLB, NHL, NCAAF, NCAAB, EPL, MLS, UCL, UFC, PGA, and more. Plus scores, venue, status. No API key.

- **URL**: https://apify.com/seemuapps/sports-odds-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, E-commerce, Developer tools
- **Stats:** 488 total users, 156 monthly users, 94.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 odds rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Sports Betting Odds Scraper - NFL, NBA, MLB, NHL, Soccer Lines

Scrape live betting lines - moneyline, spread, total over/under - for NFL, NBA, MLB, NHL, NCAAF, NCAAB, EPL, MLS, UCL, UFC, PGA, and more. Plus scores, venue, status. No API key required.

### What you get

- One row per outcome quote - event × bookmaker × market × outcome - ready for spreadsheet workflows, Sheets formulas, and dashboards
- **Moneyline (h2h)** prices for home and away
- **Point spread** with the line and the standard -110 vig
- **Totals (over / under)** with the line and the actual juice
- Live **scores** and game **status** (Scheduled / In Progress / Final) included on every row
- **Venue**, team abbreviations, and ESPN event ID for joining to other datasets
- Both **American** and **Decimal** odds on every row regardless of the chosen display format
- Direct export to JSON, CSV, Excel, or Google Sheets - no transformation needed

### Supported leagues

| Key | League |
|-----|--------|
| `nfl` | NFL |
| `ncaaf` | NCAA Football (FBS + FCS) |
| `nba` | NBA |
| `wnba` | WNBA |
| `ncaam` / `ncaaw` | NCAA Men's / Women's Basketball |
| `mlb` | MLB |
| `nhl` | NHL |
| `mls` | MLS |
| `epl` | English Premier League |
| `laliga` | La Liga |
| `seriea` | Serie A |
| `bundesliga` | Bundesliga |
| `ligue1` | Ligue 1 |
| `ucl` | UEFA Champions League |
| `uel` | UEFA Europa League |
| `ufc` | UFC |
| `pga` | PGA Tour |

Pass multiple league keys at once to scrape every supported league in a single run.

### Use cases

- **Daily lines dashboard** - schedule a run each morning, paste the dataset into Sheets
- **Line shopping** - pull the same slate from this actor and a second sportsbook source, compare prices in a spreadsheet join
- **Bankroll analytics** - feed historical line snapshots into a model alongside scores from the same row
- **Content / media** - power "tonight's lines" widgets and game previews
- **Bet tracking** - match your tickets back to the closing line for CLV analysis

### How to use

1. Pick one or more **Leagues** (e.g. `nfl`, `nba`).
2. Optionally enter **Dates** - `YYYYMMDD` for one day or `YYYYMMDD-YYYYMMDD` for a range. Leave empty for today's slate.
3. Pick **Odds format** - American or Decimal. Both columns are always emitted regardless.
4. Set **Max items** (0 = no cap) and run.

### Output format

```json
{
  "league": "nfl",
  "leagueName": "NFL",
  "eventId": "401872656",
  "eventName": "New England Patriots at Seattle Seahawks",
  "commenceTime": "2026-09-10T00:20Z",
  "status": "STATUS_SCHEDULED",
  "completed": false,
  "venue": "Lumen Field",
  "homeTeam": "Seattle Seahawks",
  "homeTeamAbbr": "SEA",
  "homeScore": null,
  "awayTeam": "New England Patriots",
  "awayTeamAbbr": "NE",
  "awayScore": null,
  "bookmaker": "Draft Kings",
  "marketKey": "h2h",
  "outcomeName": "Seattle Seahawks",
  "price": -205,
  "priceAmerican": -205,
  "priceDecimal": 1.4878,
  "point": null,
  "oddsFormat": "american",
  "details": "SEA -3.5",
  "fetchedAt": "2026-05-18T12:00:01.234Z"
}
```

For each event you'll typically get 6 rows from the available bookmaker(s):

- 2 × `h2h` (home / away moneyline)
- 2 × `spreads` (home / away with the `point` field set)
- 2 × `totals` (over / under with the line in `point`)

### Bookmakers

This actor sources from ESPN, which surfaces lines from its current sportsbook partners (typically DraftKings, ESPN BET, or Caesars depending on the sport and event). The `bookmaker` column tells you exactly which book each row is from. Coverage varies by league and game - preseason and off-season events often have no lines.

### Input options

| Field | Type | Description |
|-------|------|-------------|
| Leagues | array | One or more league keys from the table above |
| Dates | string | `YYYYMMDD` or `YYYYMMDD-YYYYMMDD`, UTC. Empty = today |
| Odds format | enum | `american` or `decimal` |
| Max items | integer | Max rows per run. 0 = no cap |

### Notes

- Coverage depends on whether ESPN has odds for the event - preseason / off-season games often have none, and very obscure leagues (lower-division soccer, minor tournaments) are excluded
- Spreads use the standard −110 juice on both sides (ESPN exposes the line, not the price)
- Live scores are populated when the game is in progress or final

# Actor input Schema

## `leagues` (type: `array`):

League keys. Valid: nfl, ncaaf, nba, wnba, ncaam, ncaaw, mlb, nhl, mls, epl, laliga, seriea, bundesliga, ligue1, ucl, uel, ufc, pga. Pass multiple to scrape several leagues in one run.

## `dates` (type: `string`):

Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's slate.

## `oddsFormat` (type: `string`):

Format for the price field. Both priceAmerican and priceDecimal are always included on each row regardless.

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

Maximum rows (quotes) to return. 0 = no cap. Each row is one outcome from one bookmaker for one market.

## Actor input object example

```json
{
  "leagues": [
    "nfl"
  ],
  "oddsFormat": "american",
  "maxItems": 0
}
```

# Actor output Schema

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

Fields: league, leagueName, eventId, eventName, commenceTime, status, completed, venue, homeTeam, homeTeamAbbr, homeScore, awayTeam, awayTeamAbbr, awayScore, bookmaker, marketKey, outcomeName, price, priceAmerican, priceDecimal, point, oddsFormat, details, fetchedAt.

# 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 = {
    "leagues": [
        "nfl"
    ],
    "dates": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/sports-odds-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 = {
    "leagues": ["nfl"],
    "dates": "",
}

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/sports-odds-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 '{
  "leagues": [
    "nfl"
  ],
  "dates": ""
}' |
apify call seemuapps/sports-odds-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/sports-odds-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/u5tgp5BchEooNj9IP/builds/lrwaIkYaCOCa9B67f/openapi.json