# Soccer Odds Pulse (`0xgollum/soccer-odds-pulse`) Actor Tracks live soccer odds across major football nations and international tournaments, and flags implied-probability steamers and drifters between runs. - **URL**: https://apify.com/0xgollum/soccer-odds-pulse.md - **Developed by:** [0xGollum](https://apify.com/0xgollum) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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/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 ## Soccer Odds Pulse ⚽ **Catch the money before the match does.** Sharp bettors and syndicates watch odds move for a reason: when a lot of money hits one side of a match fast, the market's implied probability shifts — often ahead of news (injury, lineup change, sharp/insider money) reaching the public. This actor watches that movement for you, across major football nations and international tournaments, continuously. ### What you get Two row types: - **Snapshot** — current odds + implied probability per outcome (home/draw/away) for every tracked match - **Signal** — a named, fired condition: | Signal | Meaning | |--------|---------| | `steamer` | An outcome's implied probability jumped between runs — money coming in fast | | `drifter` | An outcome's implied probability faded between runs — confidence draining out | ### Sources (public, no API key, no proxy) **Pinnacle** — a sharp bookmaker's own key-less guest API (the same JSON its web client renders). No proxy needed: unlike DraftKings/FanDuel, Pinnacle isn't geo-gated or Akamai-protected, so it works cleanly from any datacenter IP. Leagues are **not hardcoded** — every run, the actor pulls Pinnacle's live league index and keeps every league/tournament matching a broad allow-list of major football nations (Europe's top leagues, South America, Asia, Africa, North America) and international competitions (FIFA World Cup, UEFA Champions League, Copa América, etc.), ranked by how many matches Pinnacle is currently pricing — a proxy for where the real betting depth is. That means it automatically surfaces World Cup or Euro matches during a tournament and settles back to domestic leagues the rest of the year, with no code change needed. ### Use cases - **Sharp bettors** — spot steam moves and drifts before they show up everywhere - **Syndicate/value bettors** — line movement is a core signal for closing-line-value strategies - **Content & picks sites** — power previews and odds widgets with live movement data - **Bots & automations** — feed clean signals into your own alerting or execution pipeline ### Input (all optional) | Field | Default | Description | |-------|---------|--------------| | `max_leagues` | `20` | How many currently-active major leagues/tournaments to scan, ranked by match volume | | `movement_threshold_pct` | `5` | Minimum implied-probability change (percentage points) between runs to fire a signal | | `only_signals` | `false` | Skip snapshots, only push steamer/drifter rows | ### Output ```json { "type": "signal", "signal": "steamer", "league": "World - FIFA - World Cup", "match_id": 1632336437, "home": "France", "away": "Morocco", "side": "home", "prob_change_pct": 7.2, "current_prob_pct": 63.9, "previous_prob_pct": 56.7, "message": "France vs Morocco (World - FIFA - World Cup): 'home' shortened from 56.7% to 63.9% implied — money coming in fast." } ```` ### Pricing **Pay per result:** **$0.002 per row** (snapshots + signals). ### Tips - **Schedule it** every 15–30 min during matchdays to catch steam as it happens; movement between two runs is what triggers a signal, so it needs a persistent schedule (not one-off runs) to be useful. - Lower `movement_threshold_pct` for more sensitivity (more signals, more noise) or raise it to only catch big moves. - Works two-way (no draw) automatically for knockout-stage matches. *** *⚠️ Not betting advice. Odds movement reflects market activity, not a guaranteed outcome. This actor surfaces public odds data — it does not place bets or guarantee profit.* # Actor input Schema ## `max_leagues` (type: `integer`): How many currently-active major football leagues/tournaments to scan, ranked by how many matches Pinnacle is currently pricing (a proxy for betting depth/liquidity). ## `movement_threshold_pct` (type: `number`): Minimum implied-probability change (in percentage points) between runs to fire a steamer/drifter signal. Default 5. ## `only_signals` (type: `boolean`): If true, skip snapshot rows and only push steamer/drifter signal rows. ## Actor input object example ```json { "max_leagues": 20, "movement_threshold_pct": 5, "only_signals": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("0xgollum/soccer-odds-pulse").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("0xgollum/soccer-odds-pulse").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 0xgollum/soccer-odds-pulse --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=0xgollum/soccer-odds-pulse", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Soccer Odds Pulse", "description": "Tracks live soccer odds across major football nations and international tournaments, and flags implied-probability steamers and drifters between runs.", "version": "0.1", "x-build-id": "cLyTkrd2i7hjGMhI8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/0xgollum~soccer-odds-pulse/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-0xgollum-soccer-odds-pulse", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/0xgollum~soccer-odds-pulse/runs": { "post": { "operationId": "runs-sync-0xgollum-soccer-odds-pulse", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/0xgollum~soccer-odds-pulse/run-sync": { "post": { "operationId": "run-sync-0xgollum-soccer-odds-pulse", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "max_leagues": { "title": "Max active leagues", "type": "integer", "description": "How many currently-active major football leagues/tournaments to scan, ranked by how many matches Pinnacle is currently pricing (a proxy for betting depth/liquidity).", "default": 20 }, "movement_threshold_pct": { "title": "Movement threshold (percentage points)", "type": "number", "description": "Minimum implied-probability change (in percentage points) between runs to fire a steamer/drifter signal. Default 5.", "default": 5 }, "only_signals": { "title": "Only output signals", "type": "boolean", "description": "If true, skip snapshot rows and only push steamer/drifter signal rows.", "default": false } } }, "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 } } } } } } } } } } ```