# TVMaze Scraper (`dami_studio/tvmaze-scraper`) Actor Search TV shows and people, or list a show's episodes, from the free no-key TVMaze API. Get clean structured rows: ratings, network, country, genres, IMDb id, plain-text summaries, images and more. No API key, no login. - **URL**: https://apify.com/dami\_studio/tvmaze-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Integrations, AI, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 item returneds 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 ## TVMaze Scraper Search TV shows and people, or list a show's episodes, using the free [TVMaze](https://www.tvmaze.com/api) API. No API key, no login. You get clean, flat rows — HTML `summary` fields are already converted to plain text. ### Modes | Mode | Needs | Returns | |---|---|---| | `shows` | `query` (show name) | Matching TV shows | | `people` | `query` (person name) | Matching actors / crew | | `episodes` | `showId` (integer) | Every episode of that show | Find a `showId` by running `shows` mode first — each show row includes its `id`. ### Output One dataset row per result, flagged `ok: true`. **Shows** (`mode: "shows"`): `id`, `name`, `type`, `language`, `genres` (array), `status`, `runtime`, `premiered`, `ended`, `rating` (average, 0–10 or null), `network` (network or web-channel name), `country` (name), `imdb` (IMDb id), `officialSite`, `summary` (plain text), `image` (URL), `url` (TVMaze page). **People** (`mode: "people"`): `id`, `name`, `country` (name), `birthday`, `gender`, `image` (URL), `url`. **Episodes** (`mode: "episodes"`): `showId`, `episodeId`, `name`, `season`, `number`, `airdate`, `runtime`, `rating`, `summary` (plain text), `url`. #### Fields that can be null TVMaze omits fields it doesn't have, so any field above can be `null` — e.g. `rating` when a show/episode has no votes, `ended` for a running show, `network`/`country` for web-only shows, `imdb` when no external id is mapped, `birthday`/`gender` for some people, or `image` when no artwork exists. ### Pricing Pay-per-result: you are charged once per genuine result row (`ok: true`). You are **never** charged for: - invalid input (a single `ok: false` row with `errorCode: "BAD_INPUT"`), - no matching results (`NO_RESULTS`), - an unknown `showId` (`NOT_FOUND`), - network / rate-limit / server errors (`NETWORK` / `RATE_LIMITED` / `SERVER_ERROR`). Results are deduplicated by id before charging. ### Proxy The TVMaze API is a public, no-auth JSON API with no anti-bot, so **no proxy is required** and the default runs without one (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume. ### Examples Search shows: ```json { "mode": "shows", "query": "breaking bad", "maxItems": 10 } ```` List a show's episodes: ```json { "mode": "episodes", "showId": 169 } ``` Search people: ```json { "mode": "people", "query": "bryan cranston", "maxItems": 5 } ``` ### Notes TVMaze search returns the best matches ranked by relevance (their `score`). Episode lists are returned in full for the show; use `maxItems` to cap how many rows you keep. Data is courtesy of [TVMaze.com](https://www.tvmaze.com) under their licensing terms. # Actor input Schema ## `mode` (type: `string`): What to fetch: "shows" searches TV shows by name (needs a query), "people" searches actors/crew by name (needs a query), "episodes" lists all episodes of one show (needs a showId). ## `query` (type: `string`): Search text. For mode "shows" this is a show name (e.g. "breaking bad"); for mode "people" it is a person name (e.g. "bryan cranston"). Ignored in "episodes" mode. ## `showId` (type: `integer`): TVMaze numeric show id to list episodes for (e.g. 169 = Breaking Bad). Required for mode "episodes"; ignored otherwise. Find ids by running mode "shows" first. ## `maxItems` (type: `integer`): Maximum number of result rows to return (shows, people, or episodes). Deduplicated by id before this limit is applied. ## `notionConnector` (type: `string`): Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): OPTIONAL. The TVMaze API is a public, no-auth JSON API with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits when running very high volumes. ## Actor input object example ```json { "mode": "shows", "query": "breaking bad", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "query": "breaking bad" }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/tvmaze-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 = { "query": "breaking bad" } # Run the Actor and wait for it to finish run = client.actor("dami_studio/tvmaze-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 '{ "query": "breaking bad" }' | apify call dami_studio/tvmaze-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/tvmaze-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TVMaze Scraper", "description": "Search TV shows and people, or list a show's episodes, from the free no-key TVMaze API. Get clean structured rows: ratings, network, country, genres, IMDb id, plain-text summaries, images and more. No API key, no login.", "version": "0.1", "x-build-id": "xSDHl7p2N0gszq4vp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~tvmaze-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-tvmaze-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~tvmaze-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-tvmaze-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~tvmaze-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-tvmaze-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "shows", "people", "episodes" ], "type": "string", "description": "What to fetch: \"shows\" searches TV shows by name (needs a query), \"people\" searches actors/crew by name (needs a query), \"episodes\" lists all episodes of one show (needs a showId).", "default": "shows" }, "query": { "title": "Search query", "type": "string", "description": "Search text. For mode \"shows\" this is a show name (e.g. \"breaking bad\"); for mode \"people\" it is a person name (e.g. \"bryan cranston\"). Ignored in \"episodes\" mode." }, "showId": { "title": "Show id (episodes mode)", "minimum": 1, "type": "integer", "description": "TVMaze numeric show id to list episodes for (e.g. 169 = Breaking Bad). Required for mode \"episodes\"; ignored otherwise. Find ids by running mode \"shows\" first." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of result rows to return (shows, people, or episodes). Deduplicated by id before this limit is applied.", "default": 50 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "OPTIONAL. The TVMaze API is a public, no-auth JSON API with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits when running very high volumes.", "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 } } } } } } } } } } ```