# ESPN Video Downloader (`codingfrontend/espn-video-downloader`) Actor Download and extract rich video metadata from Espn Video, supporting resolutions up to 4K. Scrapes titles, duration, channel information, view counts, likes, user comments, and subtitles. Built with complete proxy rotation and anti-bot bypass support. - **URL**: https://apify.com/codingfrontend/espn-video-downloader.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Videos, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ESPN Video Downloader Extract ESPN game highlight video metadata including direct MP4 download URLs and HLS stream links. Supports NBA, NFL, NHL, MLB, NCAA, MLS, and major European soccer leagues. ### Features - Fetches highlight videos from recent games - Returns direct MP4 URLs (360p and 720p HD) - HLS streaming URLs (M3U8) for video players - Video metadata: headline, description, duration, thumbnail - Game context: teams, date, league - Geo-restriction info ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `league` | string | `nba` | League code (see options below) | | `dates` | string | today | Date in YYYYMMDD format | | `maxGames` | integer | 10 | Max games to include | | `maxVideosPerGame` | integer | 5 | Max videos per game | | `maxItems` | integer | 50 | Total max video items | **Supported Leagues**: `nba`, `nfl`, `nhl`, `mlb`, `ncaaf`, `ncaab`, `mls`, `epl`, `laliga`, `bundesliga`, `seriea`, `ligue1` ### Output Fields | Field | Description | |-------|-------------| | `videoId` | ESPN video ID | | `headline` | Video title | | `description` | Video description | | `duration` | Length in seconds | | `gameName` | e.g. "Lakers at Warriors" | | `gameDate` | ISO game date | | `league` | League used | | `thumbnailUrl` | Thumbnail image | | `urls.mp4_360p` | Direct MP4 (360p) | | `urls.mp4_720p` | Direct MP4 (720p HD) | | `urls.hls` | HLS playlist (M3U8) | | `urls.hls_hd` | HD HLS stream | | `geoRestrictions` | Countries where video is restricted | | `originalPublishDate` | ISO publish timestamp | ### Notes - Uses ESPN's public site API — no authentication required. - Videos are from game highlights (publicly accessible). - Some videos may have geo-restrictions (e.g. US-only). - Use the HLS URL with `ffmpeg` or a compatible video player to stream/download. # Actor input Schema ## `league` (type: `string`): Sports league to fetch highlight videos for. ## `dates` (type: `string`): Date to fetch games for in YYYYMMDD format. Leave empty for today's games. ## `maxGames` (type: `integer`): Maximum number of games (events) to include. ## `maxVideosPerGame` (type: `integer`): Maximum number of video clips per game. ## `maxItems` (type: `integer`): Total maximum number of video items to return. ## Actor input object example ```json { "league": "nba", "dates": "20250516", "maxGames": 10, "maxVideosPerGame": 5, "maxItems": 50 } ```` # 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("codingfrontend/espn-video-downloader").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("codingfrontend/espn-video-downloader").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 codingfrontend/espn-video-downloader --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/espn-video-downloader", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Video Downloader", "description": "Download and extract rich video metadata from Espn Video, supporting resolutions up to 4K. Scrapes titles, duration, channel information, view counts, likes, user comments, and subtitles. Built with complete proxy rotation and anti-bot bypass support.", "version": "0.1", "x-build-id": "TRo1H6oUWGUL4fCbG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~espn-video-downloader/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-espn-video-downloader", "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/codingfrontend~espn-video-downloader/runs": { "post": { "operationId": "runs-sync-codingfrontend-espn-video-downloader", "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/codingfrontend~espn-video-downloader/run-sync": { "post": { "operationId": "run-sync-codingfrontend-espn-video-downloader", "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": { "league": { "title": "League", "enum": [ "nba", "nfl", "nhl", "mlb", "ncaaf", "ncaab", "mls", "epl", "laliga", "bundesliga", "seriea", "ligue1" ], "type": "string", "description": "Sports league to fetch highlight videos for.", "default": "nba" }, "dates": { "title": "Dates", "type": "string", "description": "Date to fetch games for in YYYYMMDD format. Leave empty for today's games." }, "maxGames": { "title": "Max Games", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of games (events) to include.", "default": 10 }, "maxVideosPerGame": { "title": "Max Videos Per Game", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of video clips per game.", "default": 5 }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Total maximum number of video items to return.", "default": 50 } } }, "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 } } } } } } } } } } ```