# Kenya Football Odds: Betika, SportPesa, Odibets, Shabiki (`germane_binoculars/kenya-football-odds`) Actor Betika, SportPesa, Odibets, Shabiki - **URL**: https://apify.com/germane\_binoculars/kenya-football-odds.md - **Developed by:** [matata\_cK](https://apify.com/germane_binoculars) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 odds rows This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Kenya Football Odds API: Betika, SportPesa, Odibets, Shabiki Get live and pre-match football odds from Kenya's four biggest local bookmakers in a single call. Every fixture is already matched across the books, so you can put four prices for the same game side by side without doing any team-name reconciliation yourself. The big international odds feeds skip Kenyan operators entirely. If your model, site, or research needs Betika, SportPesa, Odibets or Shabiki prices, this is the data source for it. ### What you get - Named odds from all four bookmakers, one row per fixture, bookmaker and market - 1X2 (three-way) and Both Teams To Score markets - Live (in-play) and upcoming (pre-match) coverage - A `match_confidence` rating on every cross-bookmaker fixture match - Per-event and per-outcome active flags, so you know which prices are actually open right now - A `data_age_seconds` field on every row telling you exactly how fresh the snapshot is Snapshots refresh roughly every minute. Events the bookmakers have stopped updating are removed automatically (within 3 minutes for live, 11 minutes for pre-match), so finished matches never show up in your results. ### What people build with this - Pricing and prediction models calibrated to the Kenyan market - Best-price tables and comparison content for tipster sites - Line movement tracking across the four books - Consensus implied probabilities from local prices ### Example output row ```json { "source": "live", "market": "three_way", "fixture_id": 412, "kickoff": "2026-06-11 19:00:00", "date": "2026-06-11", "home": "gor mahia", "away": "tusker fc", "competition": "fkf premier league", "country": "kenya", "match_confidence": "HIGH", "bookmaker": "betika", "event_active": true, "odds": { "home": "2.10", "draw": "3.05", "away": "3.60" }, "odds_active": { "home": true, "draw": true, "away": true }, "odds_updated_at": "2026-06-11T19:12:41+03:00", "snapshot_generated_at": "2026-06-11T19:12:55+00:00", "data_age_seconds": 38 } ```` A fixture covered by all four books gives you four directly comparable rows like this one. ### How to use it #### From this page Pick your filters in the Input tab and press Start. Results land in the run's dataset, ready to download as JSON, CSV or Excel. #### One HTTP call, results in the response ```bash curl -X POST \ "https://api.apify.com/v2/acts/USERNAME~kenya-football-odds/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"source": "live", "market": "three_way", "onlyActive": true}' ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("USERNAME/kenya-football-odds").call( run_input={"source": "both", "market": "both"} ) rows = client.dataset(run["defaultDatasetId"]).list_items().items ``` #### Node.js ```js const { ApifyClient } = require('apify-client'); const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('USERNAME/kenya-football-odds').call({ source: 'upcoming', market: 'btts', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` ### Input reference | Field | Values | Default | What it does | |---|---|---|---| | `source` | `live` / `upcoming` / `both` | `both` | In-play, pre-match, or everything | | `market` | `three_way` / `btts` / `both` | `both` | 1X2 and/or Both Teams To Score | | `onlyActive` | `true` / `false` | `false` | Drop suspended events | | `minConfidence` | `LOW` / `MEDIUM` / `HIGH` | none | Keep only fixtures matched at this confidence or better | ### Good to know - Odds are factual sports information collected from publicly displayed prices, provided as-is. This service is independent and is not affiliated with or endorsed by any bookmaker listed. - Coverage follows what the four books actually price: Kenyan leagues plus the international football calendar. Row counts vary by time of day. - Status fields are normalized to `true`, `false` or `null` (unknown), so you never have to interpret each bookmaker's own status vocabulary. ### Requests and support More markets (Over/Under and Double Chance are next in line) and more Kenyan bookmakers get added based on what users ask for. If you need something sooner, or a field looks wrong, leave a message in the Issues tab on this page. I read every message and usually reply the same day. # Actor input Schema ## `source` (type: `string`): Live (in-play) fixtures, upcoming (pre-match) fixtures, or both. ## `market` (type: `string`): 1X2 (three-way), Both Teams To Score, or both markets. ## `onlyActive` (type: `boolean`): Drop rows where the bookmaker reports the event as suspended or inactive. Rows with unknown status are kept. ## `minConfidence` (type: `string`): Keep only fixtures whose cross-bookmaker match confidence is at least this level. Leave empty to keep everything. ## Actor input object example ```json { "source": "both", "market": "both", "onlyActive": 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("germane_binoculars/kenya-football-odds").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("germane_binoculars/kenya-football-odds").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 germane_binoculars/kenya-football-odds --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=germane_binoculars/kenya-football-odds", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kenya Football Odds: Betika, SportPesa, Odibets, Shabiki", "description": "Betika, SportPesa, Odibets, Shabiki", "version": "0.1", "x-build-id": "6Zum30lG2HwWLCLJb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/germane_binoculars~kenya-football-odds/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-germane_binoculars-kenya-football-odds", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/germane_binoculars~kenya-football-odds/runs": { "post": { "operationId": "runs-sync-germane_binoculars-kenya-football-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/germane_binoculars~kenya-football-odds/run-sync": { "post": { "operationId": "run-sync-germane_binoculars-kenya-football-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "source": { "title": "Source", "enum": [ "live", "upcoming", "both" ], "type": "string", "description": "Live (in-play) fixtures, upcoming (pre-match) fixtures, or both.", "default": "both" }, "market": { "title": "Market", "enum": [ "three_way", "btts", "both" ], "type": "string", "description": "1X2 (three-way), Both Teams To Score, or both markets.", "default": "both" }, "onlyActive": { "title": "Only active events", "type": "boolean", "description": "Drop rows where the bookmaker reports the event as suspended or inactive. Rows with unknown status are kept.", "default": false }, "minConfidence": { "title": "Minimum match confidence", "enum": [ "LOW", "MEDIUM", "HIGH" ], "type": "string", "description": "Keep only fixtures whose cross-bookmaker match confidence is at least this level. Leave empty to keep everything." } } }, "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 } } } } } } } } } } ```