Sports Betting Odds Scraper

Sports Data

Operated by Sourcelane✓ verified

A scraper that aggregates live sportsbook odds and game metadata from ESPN’s odds feed and its sportsbook partners, producing one record per event × bookmaker × market × outcome. Captures market-level pricing including moneyline (head-to-head) prices, point spreads with the standard −110 vig, and totals (over/under) with actual juice, plus live scores, game status, venue, team abbreviations, and ESPN event identifiers. Outputs both American and Decimal odds for every outcome and identifies the source bookmaker (examples: DraftKings, ESPN BET, Caesars). Supports major professional and collegiate leagues across football, basketball, baseball, hockey, soccer, UFC, and golf (NFL, NCAA football, NBA, WNBA, NCAA basketball, MLB, NHL, MLS, EPL, LaLiga, Serie A, Bundesliga, Ligue 1, UCL, UEL, UFC, PGA, and more). Typical records include both sides of moneyline, spread, and totals for each available bookmaker and event.

Verified Sep 28, 3:55 AM

$0.003

per odds row

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Daily lines dashboard (scheduled snapshots for morning workflows)
Line shopping (compare the same slate across sportsbooks)
Bankroll analytics (historical line snapshots alongside scores for modeling)
Content / media (“tonight’s lines” widgets and game previews)
Bet tracking (reconcile tickets to closing lines for closing-line value analysis)

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"sports-odds-scraper","params":{"leagues":["nfl"],"maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`leagues`	array	required	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`	string	optional	Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's slate.
`oddsFormat`	string	optional	Format for the price field. Both priceAmerican and priceDecimal are always included on each row regardless.
`maxItems`	integer	optional	Maximum rows (quotes) to return. 0 = no cap. Each row is one outcome from one bookmaker for one market. Capped at 100 per call.

Each result contains

Field	Type	Description
`league`	string	League
`leagueName`	string	League Name
`eventId`	string	Event Id
`eventName`	string	Event Name
`commenceTime`	string	Commence Time
`status`	string	Status
`completed`	boolean	Completed
`venue`	string	Venue
`homeTeam`	string	Home Team
`homeTeamAbbr`	string	Home Team Abbr
`homeScore`	null	Home Score
`awayTeam`	string	Away Team
`awayTeamAbbr`	string	—
`awayScore`	null	—
`bookmaker`	string	—
`marketKey`	string	—
`outcomeName`	string	—
`price`	number	—
`priceAmerican`	integer	—
`priceDecimal`	number	—
`point`	null	—
`oddsFormat`	string	—
`details`	string	—
`fetchedAt`	string	—

Use Sports Betting Odds Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What are the current odds for this weekend's Premier League matches?”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"sports-odds-scraper","params":{"leagues":["nfl"],"maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "sports-odds-scraper",
        "params": {"leagues":["nfl"],"maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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