# TippmixPro Odds Scraper (`caleno/tippmixpro-odds-scraper`) Actor Extract every market and odds for a TippMixPro event. Paste event URLs or IDs, get the full odds structure. - **URL**: https://apify.com/caleno/tippmixpro-odds-scraper.md - **Developed by:** [Caleno](https://apify.com/caleno) (community) - **Categories:** Other, Automation - **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 per events This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## TippMixPro Odds Scraper ⚽ **Get every betting market and odds for any TippMixPro event — from a URL or event ID.** Paste a TippMixPro event link (or just its ID) and get back the complete odds structure for that match: 1X2, Over/Under, Both Teams To Score, handicaps, correct score, corners, cards, half-time markets and 250+ more. Choose exactly how much you want — only the popular markets, everything, or specific market groups. --- ### ✨ What it does - 🎯 **All markets in one call** — every market and outcome for an event, with live prices. - 📦 **Pick your scope** — 🔥 Popular markets only, 📊 all markets, or 🎯 selected groups (⚽ goals, 🚩 corners, 🟨 cards, ➕ handicaps, ⏱️ half-time, and more). - 🕐 **Filter by period** — full time only, 1st half or 2nd half. - 🔗 **URL or ID** — paste the full event URL or just the event ID, both work. - 📅 **List upcoming matches** — optionally list a sport's upcoming events to collect event IDs. - ⚡ **Fast & clean** — structured JSON, ready for your model, sheet or app. --- ### 🎯 Use cases - Odds comparison and line shopping - Value-betting and arbitrage models - Tracking how odds move for an event - Feeding a tipster tool, dashboard or spreadsheet - Building a sports-odds dataset --- ### 📥 Input | Field | Description | |-------|-------------| | **Events (link or ID)** | One or more TippMixPro event URLs or event IDs. | | **Which markets?** | 🔥 Popular, 📊 all, or specific market groups. | | **Match period** | All, full time, 1st half or 2nd half. | | **Market filter** | Optional: keep only markets whose name matches your text (e.g. `1X2`). | | **List matches** | Optional: list upcoming events for a sport instead of scraping odds. | #### Example input ```json { "eventUrls": ["308741329561284608"], "markets": ["NEPSZERU"] } ```` *** ### 📤 Output One dataset item per event: ```json { "eventId": "308741329561284608", "home": "Nyiregyhaza Spartacus FC", "away": "FC Ujpest", "startTimeLocal": "2026-07-24 20:00", "marketCount": 101, "markets": [ { "market": "1X2", "part": "Ordinary Time", "outcomes": [ { "name": "Nyiregyhaza Spartacus FC", "side": "home", "odds": 2.48 }, { "name": "Draw", "side": "draw", "odds": 3.65 }, { "name": "FC Ujpest", "side": "away", "odds": 2.9 } ] } ] } ``` *** ### 💳 Pricing **Pay per event:** you are charged once per event whose odds you retrieve — any number of markets included. Failed or unavailable events are free. *** ### ❓ Notes - Works for both prematch and live events (live odds move fast; each run is a snapshot). - Odds and available markets are provided as published on TippMixPro at the moment of the request. - Unofficial tool — not affiliated with or endorsed by TippMixPro. Questions or a feature request? Open an issue on the actor page — the actor is actively maintained. 🔄 # Actor input Schema ## `eventUrls` (type: `array`): TippMixPro event links OR event IDs — both work. Paste the full URL (e.g. https://www.tippmixpro.hu/.../308741329561284608/all) or just the long number (308741329561284608). ## `markets` (type: `array`): Pick 🔥 Popular for the main markets, 📊 All markets for everything, or select one or more specific groups (⚽ Goals, 🚩 Corners, 🟨 Cards, …). Picking 📊 All markets overrides the rest. ## `period` (type: `string`): Keep only markets for a given period. 🕐 All keeps everything, or narrow to full time / a single half. ## `marketFilter` (type: `array`): Extra fine-tuning: keep only markets whose name contains any of these texts (e.g. '1X2', 'Total Score', 'Both Teams'). Leave empty to keep everything. ## `listSport` (type: `integer`): Instead of odds, list upcoming matches for a sport (1 = ⚽ football). Leave empty to scrape odds. ## `days` (type: `integer`): For the 📅 List matches mode: how many days ahead to include. ## `proxyConfiguration` (type: `object`): Optional. Not needed by default — only enable it if you specifically want to route requests through a proxy. ## Actor input object example ```json { "eventUrls": [ "308741329561284608" ], "markets": [ "NEPSZERU" ], "period": "all", "days": 7, "proxyConfiguration": { "useApifyProxy": 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 = { "eventUrls": [ "308741329561284608" ] }; // Run the Actor and wait for it to finish const run = await client.actor("caleno/tippmixpro-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "eventUrls": ["308741329561284608"] } # Run the Actor and wait for it to finish run = client.actor("caleno/tippmixpro-odds-scraper").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 '{ "eventUrls": [ "308741329561284608" ] }' | apify call caleno/tippmixpro-odds-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=caleno/tippmixpro-odds-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TippmixPro Odds Scraper", "description": "Extract every market and odds for a TippMixPro event. Paste event URLs or IDs, get the full odds structure.", "version": "0.1", "x-build-id": "BT4q2JZva4622syHY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/caleno~tippmixpro-odds-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-caleno-tippmixpro-odds-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/caleno~tippmixpro-odds-scraper/runs": { "post": { "operationId": "runs-sync-caleno-tippmixpro-odds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/caleno~tippmixpro-odds-scraper/run-sync": { "post": { "operationId": "run-sync-caleno-tippmixpro-odds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "eventUrls": { "title": "🔗 Events (link or ID)", "type": "array", "description": "TippMixPro event links OR event IDs — both work. Paste the full URL (e.g. https://www.tippmixpro.hu/.../308741329561284608/all) or just the long number (308741329561284608).", "items": { "type": "string" } }, "markets": { "title": "📦 Which markets?", "type": "array", "description": "Pick 🔥 Popular for the main markets, 📊 All markets for everything, or select one or more specific groups (⚽ Goals, 🚩 Corners, 🟨 Cards, …). Picking 📊 All markets overrides the rest.", "items": { "type": "string", "enum": [ "NEPSZERU", "all", "Golok", "Szogletek", "Hendikep", "Lapok", "Felido", "Jatekos", "Statisztikak", "Kombi", "Gyorspiacok", "Flash", "Markets_Insights", "Fogadaskeszito" ], "enumTitles": [ "🔥 Popular", "📊 All markets", "⚽ Goals", "🚩 Corners", "➕ Handicap", "🟨 Cards", "⏱️ Half Time markets", "🧍 Player", "📊 Statistics", "🧩 Combo", "⚡ Fast Markets", "💥 Flash", "🧠 Markets Insights", "🛠️ BetBuilder" ] }, "default": [ "NEPSZERU" ] }, "period": { "title": "🕐 Match period", "enum": [ "all", "fulltime", "firsthalf", "secondhalf" ], "type": "string", "description": "Keep only markets for a given period. 🕐 All keeps everything, or narrow to full time / a single half.", "default": "all" }, "marketFilter": { "title": "🔎 Market name filter (optional)", "type": "array", "description": "Extra fine-tuning: keep only markets whose name contains any of these texts (e.g. '1X2', 'Total Score', 'Both Teams'). Leave empty to keep everything.", "items": { "type": "string" } }, "listSport": { "title": "📅 List matches (collect event IDs)", "type": "integer", "description": "Instead of odds, list upcoming matches for a sport (1 = ⚽ football). Leave empty to scrape odds." }, "days": { "title": "📆 Days ahead (for listing)", "minimum": 1, "maximum": 60, "type": "integer", "description": "For the 📅 List matches mode: how many days ahead to include.", "default": 7 }, "proxyConfiguration": { "title": "🌐 Proxy (optional)", "type": "object", "description": "Optional. Not needed by default — only enable it if you specifically want to route requests through a proxy.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```