# Covers Scraper - Sports Odds Comparison & Betting Lines (`lulzasaur/covers-scraper`) Actor

Scrape sports betting odds, lines, scores, standings, and futures from Covers.com. Compare spreads, moneylines, and totals across 10+ sportsbooks for NBA, MLB, NFL, NHL, NCAAB, NCAAF, soccer, and UFC.

- **URL**: https://apify.com/lulzasaur/covers-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 24 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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.

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

## Covers Scraper - Sports Odds Comparison & Betting Lines

Scrape live sports betting odds, scores, standings, and futures from [Covers.com](https://www.covers.com) -- the leading sports odds comparison site. Compare lines across 10+ major sportsbooks including DraftKings, FanDuel, BetMGM, Caesars, and more.

### Features

- **Odds Comparison**: Get spread, moneyline, and over/under lines from 10+ sportsbooks side-by-side
- **Scores & Matchups**: Live and final scores with quarter/period breakdowns, ATS results, and O/U margins
- **Standings**: Full season standings with W/L records, ATS records, O/U records, home/away splits
- **Futures**: Championship and conference futures odds for all teams
- **Best Odds Highlighted**: Identifies which sportsbook has the best line for each side
- **8 Sports**: NBA, MLB, NFL, NHL, NCAAB, NCAAF, MLS, UFC

### Supported Sports

| Sport | Odds | Scores | Standings | Futures |
|-------|------|--------|-----------|---------|
| NBA | Yes | Yes | Yes | Yes |
| MLB | Yes | Yes | Yes | Yes |
| NFL | Yes | Yes | Yes | Yes |
| NHL | Yes | Yes | Yes | Yes |
| NCAAB | Yes | Yes | Yes | Yes |
| NCAAF | Yes | Yes | Yes | Yes |
| MLS | Yes | Yes | Yes | Yes |
| UFC | Yes | Yes | - | Yes |

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `sport` | string | `nba` | Sport/league: nba, mlb, nfl, nhl, ncaab, ncaaf, mls, ufc |
| `dataType` | string | `odds` | Data type: odds, scores, standings, futures |
| `date` | string | (today) | Specific date in YYYY-MM-DD format (for odds/scores) |
| `maxResults` | integer | 100 | Maximum results to return (1-500) |

### Output Examples

#### Odds Output

```json
{
    "gameId": "377479",
    "sport": "basketball",
    "league": "NBA",
    "gameTime": "Today, 13:00",
    "awayTeam": "DET",
    "homeTeam": "ORL",
    "gameStatus": "Scheduled",
    "openingSpreadAway": "-2.5",
    "openingSpreadHome": "+2.5",
    "openingMoneylineAway": "-142",
    "openingMoneylineHome": "+126",
    "openingTotal": "o 214.5",
    "sportsbooks": [
        {
            "name": "DraftKings",
            "spreadAway": { "line": "-2.5", "price": "-110" },
            "spreadHome": { "line": "+2.5", "price": "-110" },
            "moneylineAway": "-140",
            "moneylineHome": "+120",
            "over": { "line": "o 213.5", "price": "-110" },
            "under": { "line": "u 213.5", "price": "-110" },
            "bestMoneylineAway": true
        }
    ],
    "lastUpdated": "Apr 25, 2026, 3:36 AM ET"
}
```

#### Scores Output

```json
{
    "gameId": "377351",
    "sport": "basketball",
    "league": "NBA",
    "header": "Boston @ Philadelphia",
    "awayTeam": "BOS",
    "homeTeam": "PHI",
    "awayScore": 108,
    "homeScore": 100,
    "winner": "BOS",
    "gameStatus": "Final",
    "periodScores": {
        "away": [29, 25, 25, 29],
        "home": [24, 23, 27, 26]
    },
    "summary": "Philadelphia covered the spread of +9.5. The total score of 208 was under 216."
}
```

#### Standings Output

```json
{
    "sport": "basketball",
    "league": "NBA",
    "division": "Atlantic",
    "team": "Boston Celtics",
    "w": "55",
    "l": "26",
    "pct": ".679",
    "ats": "48-32-1",
    "o_u": "30-51-0",
    "home": "30-11",
    "away": "26-15"
}
```

#### Futures Output

```json
{
    "sport": "basketball",
    "league": "NBA",
    "team": "Oklahoma City Thunder",
    "teamAbbr": "OKC",
    "openingOdds": "+120",
    "allOdds": [
        { "american": "+120", "decimal": "2.20", "fractional": "6/5" }
    ]
}
```

### Use Cases

- **Sports Betting Research**: Compare odds across books to find the best value
- **Line Shopping**: Identify which sportsbook offers the best spread or moneyline
- **Historical Analysis**: Track how lines move throughout the day
- **Score Tracking**: Monitor live and final scores with ATS/O-U results
- **Season Analytics**: Analyze team standings with betting-specific stats (ATS, O/U records)
- **Futures Tracking**: Monitor championship and conference odds movement

### Notes

- Odds are refreshed frequently on Covers.com; the `lastUpdated` timestamp shows when data was last updated
- During off-season periods, some sports may not have active odds or scores
- The scraper extracts all SSR data without needing a browser -- fast and efficient
- Use the `date` parameter to look at historical odds/scores for specific dates

# Actor input Schema

## `sport` (type: `string`):

Which sport/league to scrape odds for.

## `dataType` (type: `string`):

What kind of data to scrape.

## `date` (type: `string`):

Specific date for odds/scores in YYYY-MM-DD format. Leave empty for today.

## `maxResults` (type: `integer`):

Maximum number of results to return.

## `proxyConfiguration` (type: `object`):

Select proxies to use for scraping.

## Actor input object example

```json
{
  "sport": "nba",
  "dataType": "odds",
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/covers-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/covers-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 '{}' |
apify call lulzasaur/covers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/covers-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/9giXMTKi5WkaxXC1I/builds/8831U3mnvru5Dfxmv/openapi.json