# Soccer Odds Delta Feed - LaLiga, Champions League, EPL (`khavel/soccer-odds-delta-feed`) Actor

Soccer odds with line movement for LaLiga, Champions League, EPL and 100+ competitions. Returns only the lines that moved since your last run, with previous price and change percent, so an agent can poll cheaply. Decimal and American prices, implied probability, moneyline/spread/total.

- **URL**: https://apify.com/khavel/soccer-odds-delta-feed.md
- **Developed by:** [Alejandro Oceja](https://apify.com/khavel) (community)
- **Categories:** E-commerce, Business, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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?

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

## Soccer Odds Delta Feed — line movement, not line dumps

Every odds actor on this store hands you the whole board every run. You pay for the same
hundreds of rows a hundred times a day and diff them yourself.

This one returns **only the lines that moved**. Poll it every minute, pay for the movement,
and get `previous → current` already computed.

Covers LaLiga, Champions League, Premier League, Serie A, Bundesliga, Ligue 1 and MLS
through ESPN's public feed.

### What you get per row

```json
{
  "event_key": "soccer:uefa.champions:740123",
  "event": "VFB @ GAL",
  "market": "total",
  "selection": "over",
  "point": 2.5,
  "book": "draftkings",
  "decimal_price": 1.8696,
  "american_price": -115,
  "implied_prob": 0.534884,
  "kickoff_utc": "2026-11-03T20:00Z",
  "captured_at": "2026-11-03T23:20:32+00:00"
}
```

Markets: `moneyline` (1X2), `spread` (handicap), `total` (goals). Decimal and American
prices plus implied probability.

### Two modes

| Mode | Use it for | Cost |
|---|---|---|
| `latest` | First call, or a full resync | Every row returned |
| `deltas` | Polling — the normal case | Only rows that moved |

`deltas` needs a `sinceRun`. Run once in `latest`, read the `run_id` from the run summary,
then poll `deltas` with that id.

### Leagues

`esp.1` LaLiga · `uefa.champions` Champions League · `eng.1` Premier League · `ita.1` Serie A
· `ger.1` Bundesliga · `fra.1` Ligue 1 · `usa.1` MLS

Set `league` to any ESPN soccer league slug. Default is LaLiga (`esp.1`).

### Who this is for

- **Line-movement and closing-line-value work** on soccer, without storing the world.
- **Agents and LLM tools** that poll on a schedule and only want the diff.
- **Arbitrage scanners** that need to know when a price moved, not what every price is.

### Honest limitations

- **One book via the live source** (ESPN's public feed surfaces DraftKings). Multi-book
  coverage comes through the `ingest` source, where you supply a normalised JSON file.
- **Pre-match prices**, not in-play. `is_live` is on the row.
- **Upstream is best-effort.** A match that fails to answer is skipped, never invented.

### Keywords

soccer odds, football odds, LaLiga odds, Champions League odds, Premier League odds,
line movement, closing line value, handicap odds, over under goals, odds API, betting odds

# Actor input Schema

## `mode` (type: `string`):

latest = the full current board. deltas = only lines that moved since sinceRun. Use deltas for polling.

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

ESPN sport path. Soccer is 'soccer'.

## `league` (type: `string`):

esp.1 LaLiga, uefa.champions Champions League, eng.1 Premier League, ita.1 Serie A, ger.1 Bundesliga, fra.1 Ligue 1, usa.1 MLS.

## `maxEvents` (type: `integer`):

How many matches to price per run. Each match is one upstream request.

## `sinceRun` (type: `integer`):

Deltas mode only. Return movement after this run id. Leave empty to return everything known to have moved.

## `market` (type: `string`):

Optional. Restrict latest mode to one market.

## `limit` (type: `integer`):

Optional cap on returned rows. You are charged per returned row, so this caps your cost.

## `source` (type: `string`):

espn = live public odds. ingest = read a JSON file you supply. fixture = deterministic sample.

## `file` (type: `string`):

Required when source = ingest: path to a JSON array of quote objects.

## Actor input object example

```json
{
  "mode": "latest",
  "sport": "soccer",
  "league": "esp.1",
  "maxEvents": 12,
  "market": "",
  "source": "espn"
}
```

# Actor output Schema

## `dataset` (type: `string`):

One row per book/market/selection. Fields: event_key, event, market, selection, point, book, decimal_price, american_price, implied_prob, previous_decimal_price, price_change_pct, kickoff_utc, captured_at.

## `summary` (type: `string`):

Row count, events, books, markets and refresh statistics.

# 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("khavel/soccer-odds-delta-feed").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("khavel/soccer-odds-delta-feed").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 khavel/soccer-odds-delta-feed --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,khavel/soccer-odds-delta-feed"
        }
    }
}
```

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/Pikq2YIEcDfhH3gPH/builds/Vdewp7jwpu2EghCLO/openapi.json