# NFL Schedule Scraper (`jungle_synthesizer/nfl-com-schedule-week-team-scraper`) Actor Scrape the official NFL schedule from nfl.com. Returns every game for a season -- home/away teams, kickoff time, venue, broadcast network (CBS/FOX/NBC/ESPN/TNF), game status, primetime flags, and international game markers. - **URL**: https://apify.com/jungle\_synthesizer/nfl-com-schedule-week-team-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## NFL Schedule Scraper Scrapes every game from the official NFL schedule at nfl.com. Returns preseason, regular season, and postseason games with kickoff times, venues, broadcast networks, and primetime flags — all from the canonical source. --- ### NFL Schedule Scraper Features - Scrapes preseason, regular season, and postseason games for any season year - Returns home and away teams with full names and three-letter abbreviations - Captures kickoff time in both local date and UTC ISO 8601 format - Identifies the primary broadcast network (CBS, FOX, NBC, ESPN, NFL Network) - Flags primetime games: Sunday Night Football (SNF), Monday Night Football (MNF), Thursday Night Football (TNF) - Marks international games (London, Munich, Brazil series) - Includes game status (SCHEDULED, IN_PROGRESS, FINAL) and venue information - Supports all season types with a single input parameter --- ### Who Uses NFL Schedule Data? - **Fantasy sports developers** — sync weekly game schedules, bye weeks, and kickoff times for draft apps and lineup tools - **Sports betting platforms** — pull primetime matchups, venue data, and broadcast networks to power odds display - **Media companies** — automate weekly schedule content, highlight TNF/MNF/SNF games for programming guides - **Data analysts** — build historical season datasets for performance modeling across venues and networks - **App developers** — display current-week NFL schedules without parsing the official site manually --- ### How NFL Schedule Scraper Works 1. Provide a season year (e.g. 2026) and optionally a season type (PRE, REG, POST) 2. The scraper enumerates all week URLs for the selected season type 3. Each page's embedded React Query JSON is parsed — no JavaScript execution required 4. Games are extracted and returned with all schedule fields --- ### Input ```json { "season": 2026, "seasonType": "REG", "maxItems": 0 } ```` | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `season` | integer | *(required)* | NFL season year (e.g. 2026) | | `seasonType` | string | `REG` | PRE, REG, POST, or blank for all three | | `maxItems` | integer | 0 | Maximum records to return. 0 = unlimited | *** ### Output Each record represents one NFL game. | Field | Type | Description | |-------|------|-------------| | `season` | integer | Season year (e.g. 2026) | | `week` | integer | Week number within the season type | | `game_id` | string | NFL game UUID | | `kickoff_local` | string | Kickoff date in YYYY-MM-DD format (local) | | `kickoff_utc` | string | Kickoff datetime in UTC (ISO 8601) | | `home_team` | string | Home team full name | | `home_team_abbrev` | string | Home team abbreviation (e.g. SEA) | | `away_team` | string | Away team full name | | `away_team_abbrev` | string | Away team abbreviation (e.g. NE) | | `home_score` | integer | Home team final score (null if not yet played) | | `away_score` | integer | Away team final score (null if not yet played) | | `venue` | string | Stadium/venue name | | `venue_city` | string | City where the game is played | | `broadcast_network` | string | Primary broadcast TV network | | `status` | string | Game status (SCHEDULED, IN\_PROGRESS, FINAL) | | `is_thursday_night` | boolean | Thursday Night Football game | | `is_monday_night` | boolean | Monday Night Football game | | `is_sunday_night` | boolean | Sunday Night Football game | | `is_international` | boolean | Game played outside the United States | | `source` | string | Source URL of the schedule page | *** ### Sample Output ```json { "season": 2026, "week": 1, "game_id": "a8fb0d78-4feb-11f1-abca-2c54536568a9", "kickoff_local": "2026-09-10", "kickoff_utc": "2026-09-10T00:20:00Z", "home_team": "Seattle Seahawks", "home_team_abbrev": "SEA", "away_team": "New England Patriots", "away_team_abbrev": "NE", "home_score": null, "away_score": null, "venue": "Lumen Field", "venue_city": "Seattle", "broadcast_network": "NBC", "status": "SCHEDULED", "is_thursday_night": false, "is_monday_night": false, "is_sunday_night": true, "is_international": false, "source": "https://www.nfl.com/schedules/2026/REG1/" } ``` *** ### Coverage & Season Structure The NFL 2026 season includes: - **Preseason**: Hall of Fame game (week 0) + 4 exhibition weeks (Aug 7 – Aug 28) - **Regular season**: 18 weeks, 272 games (Sept 10 – Jan 3) - **Postseason**: Wild Card, Divisional, Conference, Pro Bowl, Super Bowl (Jan 2027) Weeks that haven't been scheduled yet return zero records rather than erroring. *** ### Technical Notes Data is extracted from the NFL's Next.js server-rendered page. Game records are embedded in the HTML's React hydration payload — fully available without JavaScript execution, making Cheerio sufficient. No browser required, no proxies required. *** ### Need help or want a feature? Contact us at actor-support@orbtop.com or open a GitHub issue. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `season` (type: `integer`): NFL season year to scrape (e.g. 2026). ## `seasonType` (type: `string`): PRE (preseason), REG (regular season), POST (postseason), or blank for all three. ## `maxItems` (type: `integer`): Maximum number of game records to return. 0 = unlimited. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "season": 2026, "seasonType": "REG", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "season": 2026, "seasonType": "REG", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/nfl-com-schedule-week-team-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "season": 2026, "seasonType": "REG", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/nfl-com-schedule-week-team-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "season": 2026, "seasonType": "REG", "maxItems": 10 }' | apify call jungle_synthesizer/nfl-com-schedule-week-team-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/nfl-com-schedule-week-team-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NFL Schedule Scraper", "description": "Scrape the official NFL schedule from nfl.com. Returns every game for a season -- home/away teams, kickoff time, venue, broadcast network (CBS/FOX/NBC/ESPN/TNF), game status, primetime flags, and international game markers.", "version": "0.1", "x-build-id": "wEhhEctj6CUWqcB83" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~nfl-com-schedule-week-team-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-nfl-com-schedule-week-team-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/jungle_synthesizer~nfl-com-schedule-week-team-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-nfl-com-schedule-week-team-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/jungle_synthesizer~nfl-com-schedule-week-team-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-nfl-com-schedule-week-team-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", "required": [ "season" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "season": { "title": "Season Year", "type": "integer", "description": "NFL season year to scrape (e.g. 2026)." }, "seasonType": { "title": "Season Type", "enum": [ "", "PRE", "REG", "POST" ], "type": "string", "description": "PRE (preseason), REG (regular season), POST (postseason), or blank for all three." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of game records to return. 0 = unlimited." } } }, "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 } } } } } } } } } } ```