# Douban Movie, Book & Music Top List Scraper (`jungle_synthesizer/douban-movie-book-music-top-list-scraper`) Actor Scrape Douban Top 250 movies, top 250 books, and music charts. Returns ranked items with ratings, cast, authors, genres, IMDb cross-references, and snapshot timestamps across all three content types. - **URL**: https://apify.com/jungle\_synthesizer/douban-movie-book-music-top-list-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 50.0% 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 ## Douban Movie, Book & Music Top List Scraper Scrape the three canonical Douban ranked lists in a single run: - **Movie Top 250** (`movie.douban.com/top250`) — all 10 pages × 25 films = 250 results - **Book Top 250** (`book.douban.com/top250`) — all 10 pages × 25 books = 250 results - **Music New Albums Chart** (`music.douban.com/chart` 豆瓣新碟榜) — 10 chart entries Each result includes rank position, title, rating, and type-specific fields (directors/cast for movies, authors/publisher for books, artist for music). Movies include an IMDb ID cross-reference where available. ### What you get | Field | Movies | Books | Music | |-------|--------|-------|-------| | `list_type` | ✓ | ✓ | ✓ | | `rank_position` | ✓ | ✓ | ✓ | | `title` | ✓ | ✓ | ✓ | | `rating_value` | ✓ | ✓ | — | | `rating_count` | ✓ | ✓ | — | | `year` | ✓ | ✓ | — | | `directors` | ✓ | — | — | | `cast` | ✓ | — | — | | `country` | ✓ | — | — | | `genres` | ✓ | — | — | | `imdb_id` | ✓ | — | — | | `authors` | — | ✓ | — | | `publisher` | — | ✓ | — | | `artist` | — | — | ✓ | | `cover_url` | ✓ | ✓ | — | | `douban_subject_url` | ✓ | ✓ | ✓ | | `quote` | ✓ | ✓ | — | | `snapshotted_at` | ✓ | ✓ | ✓ | ### Usage #### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 750 | Maximum records to return. The full 3-list run produces ~510 records (250 movies + 250 books + 10 music). Set higher to ensure all lists complete, or lower for faster spot-checks. | #### Quick start Set `maxItems` to `750` (or leave at default) for a complete scrape of all three lists. The actor runs 21 HTTP requests total (10 movie pages + 10 book pages + 1 music chart page) and completes in under 30 seconds from Apify cloud. ### Example output (movie) ```json { "list_type": "movie_top250", "list_url": "https://movie.douban.com/top250?start=0", "rank_position": 1, "item_id": "1292052", "title": "肖申克的救赎", "title_alt": "The Shawshank Redemption", "cover_url": "https://img1.doubanio.com/view/photo/s_ratio_poster/public/p480747492.jpg", "rating_value": 9.7, "rating_count": 2987311, "year": 1994, "directors": "弗兰克·德拉邦特", "cast": "蒂姆·罗宾斯, 摩根·弗里曼, 鲍勃·冈顿", "country": "美国", "genres": "犯罪, 剧情", "imdb_id": "tt0111161", "douban_subject_url": "https://movie.douban.com/subject/1292052/", "quote": "希望让人自由。", "snapshotted_at": "2026-05-31T15:14:12.000Z" } ```` ### Example output (book) ```json { "list_type": "book_top250", "list_url": "https://book.douban.com/top250?start=0", "rank_position": 1, "item_id": "1007305", "title": "红楼梦", "cover_url": "https://img1.doubanio.com/view/subject/s/public/s1070959.jpg", "rating_value": 9.7, "rating_count": 439082, "year": 1996, "authors": "[清] 曹雪芹 著", "publisher": "人民文学出版社", "douban_subject_url": "https://book.douban.com/subject/1007305/", "quote": "都云作者痴，谁解其中味？", "snapshotted_at": "2026-05-31T15:14:18.000Z" } ``` ### Notes - **Rate limiting**: The actor sends 2 concurrent requests with automatic back-off on 429/503 responses. Douban list pages have no strict rate enforcement at this concurrency level. - **Music chart**: Returns entries from the "豆瓣新碟榜" (New Albums) section, which tracks recently charted albums. Unlike the movie/book lists, the music section does not expose ratings on the list page. - **Data freshness**: Douban's Top 250 lists update weekly. The music chart updates daily. Set `snapshotted_at` to compare snapshots over time. - **IMDb cross-reference**: Available for most Western films in the movie list. Not guaranteed for all entries (Chinese films often lack IMDb IDs on Douban's list page). # 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 records to scrape across all lists. Set to 0 for no limit. ## 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 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/douban-movie-book-music-top-list-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, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/douban-movie-book-music-top-list-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 }' | apify call jungle_synthesizer/douban-movie-book-music-top-list-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/douban-movie-book-music-top-list-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Douban Movie, Book & Music Top List Scraper", "description": "Scrape Douban Top 250 movies, top 250 books, and music charts. Returns ranked items with ratings, cast, authors, genres, IMDb cross-references, and snapshot timestamps across all three content types.", "version": "0.1", "x-build-id": "x1lAwQ4GA9TI3TutK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~douban-movie-book-music-top-list-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-douban-movie-book-music-top-list-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~douban-movie-book-music-top-list-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-douban-movie-book-music-top-list-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~douban-movie-book-music-top-list-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-douban-movie-book-music-top-list-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": [ "maxItems" ], "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 records to scrape across all lists. Set to 0 for no limit.", "default": 750 } } }, "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 } } } } } } } } } } ```