# Next-Episode.net TV Release Calendar Scraper (`jungle_synthesizer/next-episode-net-tv-release-calendar-scraper`) Actor Scrape upcoming and recent TV episode air dates from next-episode.net. The weekly schedule covers 100+ shows with season/episode codes, networks, and premiere/finale status. Ideal for EPG builders, content-alert apps, and streaming teams timing campaigns to premieres. - **URL**: https://apify.com/jungle\_synthesizer/next-episode-net-tv-release-calendar-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** News, For creators - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Next-Episode.net TV Release Calendar Scraper Scrape upcoming and recently aired TV episode air dates from [next-episode.net](https://next-episode.net). Each run produces one structured record per episode, covering 100+ shows with season/episode codes, networks, air times, and premiere/finale status flags. ### What it does The actor crawls next-episode.net's public weekly schedule pages and enriches each episode entry with show-level metadata from the individual show pages: 1. **Schedule pages** — fetches `/schedule/?week=0` (current week) and optionally future weeks. Each page lists every episode airing that week with its date, time slot, network, and episode code. 2. **Show detail pages** — for each unique show found on the schedule, fetches the show's page to extract the country of broadcast, show status (returning/cancelled/ended), and next/previous episode summaries. Output is one flat record per episode. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of episode records to return. Leave blank for all. | | `weeksAhead` | integer | 0 | Number of future weeks to include. `0` = current week only, `1` = adds next week, up to `8`. | **Tip:** A single week typically contains 80–150 episodes across 50–120 shows. Keep `weeksAhead` at `0`–`1` for focused runs, or increase it to build a multi-week release calendar. ### Output Each record represents one episode airing on the schedule. ```json { "show_name": "Andor", "show_slug": "andor", "season_number": 2, "episode_number": 6, "episode_code": "S02E06", "episode_title": null, "air_date": "2025-05-27", "air_time": "12:00 AM", "network": "Disney+", "country": "US", "is_series_premiere": false, "is_series_finale": false, "status": "upcoming", "next_episode_summary": "Episode 7 airs June 3", "previous_episode": "S02E05: Harvest (Wed May 21, 2025)" } ```` #### Field reference | Field | Description | |-------|-------------| | `show_name` | Full display name of the show | | `show_slug` | URL slug used on next-episode.net (e.g. `breaking-bad`) | | `season_number` | Season number (integer, or `null` if not parsed) | | `episode_number` | Episode number within the season (integer, or `null` if not parsed) | | `episode_code` | Formatted episode code (e.g. `S02E05`), derived from the schedule's `2x05` notation | | `episode_title` | Episode title — currently `null` (not exposed on schedule pages) | | `air_date` | Air date in `YYYY-MM-DD` format | | `air_time` | Scheduled air time as listed on the schedule (e.g. `9:00 PM`) | | `network` | Network or streaming platform (e.g. `Prime Video`, `AMC`, `Netflix`) | | `country` | Two or three-letter country code of the broadcast market (e.g. `US`, `UK`) | | `is_series_premiere` | `true` if this is S01E01 of the series | | `is_series_finale` | `true` if the show is cancelled/ended and this episode has season/episode data | | `status` | `upcoming` or `aired` based on the episode's air date relative to today | | `next_episode_summary` | Next episode block text from the show page, or `null` | | `previous_episode` | Formatted string with previous episode info, e.g. `S01E05: Name (date)` | ### Use cases - **EPG / release calendar apps** — build a weekly or multi-week episode grid keyed by air date and time slot - **Content alert bots** — trigger notifications when a favourite show's new episode appears on the schedule - **Streaming analytics** — track which platforms are airing new content each week and spot premiere/finale patterns - **Watchlist automation** — detect series premieres (`is_series_premiere: true`) to automatically add new shows to a tracker ### Notes - next-episode.net updates its schedule continuously. Re-run the actor weekly (or more frequently) to stay current. - Episode titles are not shown on the public schedule pages; `episode_title` will always be `null` in the current version. - The schedule is US-centric but includes international streaming releases (Netflix, Apple TV+, Disney+, etc.). - Air times reflect the timezone shown on next-episode.net, which is typically the originating network's local time. # 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. ## `maxItems` (type: `integer`): Maximum number of episode records to scrape. Leave blank for all. ## `weeksAhead` (type: `integer`): Number of weeks ahead (and behind) to crawl. Week 0 = current week, 1 = next week, -1 = last week. Default crawls weeks 0 through 2. ## 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...", "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...", "maxItems": 10, "weeksAhead": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/next-episode-net-tv-release-calendar-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...", "maxItems": 10, "weeksAhead": 0, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/next-episode-net-tv-release-calendar-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...", "maxItems": 10, "weeksAhead": 0 }' | apify call jungle_synthesizer/next-episode-net-tv-release-calendar-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/next-episode-net-tv-release-calendar-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Next-Episode.net TV Release Calendar Scraper", "description": "Scrape upcoming and recent TV episode air dates from next-episode.net. The weekly schedule covers 100+ shows with season/episode codes, networks, and premiere/finale status. Ideal for EPG builders, content-alert apps, and streaming teams timing campaigns to premieres.", "version": "0.1", "x-build-id": "Qpzbua1Zf9QVblX2b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~next-episode-net-tv-release-calendar-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-next-episode-net-tv-release-calendar-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~next-episode-net-tv-release-calendar-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-next-episode-net-tv-release-calendar-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~next-episode-net-tv-release-calendar-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-next-episode-net-tv-release-calendar-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": { "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." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of episode records to scrape. Leave blank for all." }, "weeksAhead": { "title": "Weeks Ahead", "type": "integer", "description": "Number of weeks ahead (and behind) to crawl. Week 0 = current week, 1 = next week, -1 = last week. Default crawls weeks 0 through 2." } } }, "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 } } } } } } } } } } ```