# Douban Reviews Scraper (`ws_tony/douban-reviews-scraper`) Actor Scrape Douban (豆瓣) ratings, reviews & comments with sentiment tags for movies, TV, books, music & groups. Clean JSON for NLP/LLM training & analysis. - **URL**: https://apify.com/ws\_tony/douban-reviews-scraper.md - **Developed by:** [Tony](https://apify.com/ws_tony) (community) - **Categories:** AI, Social media, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 1,000 long review (full body + sentiment)s 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 Reviews Scraper Scrape public **Douban (豆瓣)** ratings, long-form reviews and short comments — each tagged with a **positive / neutral / negative sentiment** label — for movies, TV, books, music and groups. Built for media & entertainment researchers, publishers, recommendation-engine teams and AI-training-data buyers who need structured Chinese cultural-opinion data. ### What you get Paste one or more Douban subject URLs and get a clean dataset with three record types: - **`subject`** — the title, year, overall rating, rating count and genres. - **`comment`** — short user comments (high volume) with star rating + sentiment. - **`review`** — long-form reviews with full body text, star rating + sentiment. Group URLs produce **`group_topic`** records (discussion topics with reply counts). Sentiment is derived from the author's own Douban star rating — no guesswork, no ML black box: 5–4★ = `positive`, 3★ = `neutral`, 2–1★ = `negative`, unrated = `null`. ### Supported URLs | Type | Example | |---|---| | Movie / TV | `https://movie.douban.com/subject/1292052/` | | Book | `https://book.douban.com/subject/1084336/` | | Music | `https://music.douban.com/subject/1407217/` | | Group | `https://www.douban.com/group/beethoven/` | ### Example input ```json { "startUrls": [ { "url": "https://movie.douban.com/subject/1292052/" } ], "scrapeShortComments": true, "scrapeLongReviews": true, "maxCommentsPerSubject": 200, "maxReviewsPerSubject": 50, "fetchFullReviewText": true, "tagSentiment": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Example output A short comment record: ```json { "record_type": "comment", "id": "comment:1234567890", "subject_id": "1292052", "subject_type": "movie", "subject_title": "肖申克的救赎 The Shawshank Redemption", "author": "影迷小王", "author_url": "https://www.douban.com/people/12345/", "rating_stars": 5, "rating_label": "力荐", "sentiment": "positive", "content": "希望让人自由。每看一次都有新的感动。", "useful_count": 1842, "created_at": "2021-03-14T21:05:00+08:00", "source_url": "https://movie.douban.com/subject/1292052/comments?status=P&start=0&limit=20&sort=new_score", "scraped_at": "2026-06-15T09:12:00.000Z" } ``` Field notes: - `id` is stable across runs (built from Douban's comment/review id) — use it to deduplicate on your side. - `rating_stars` / `sentiment` are `null` when the user left a comment without a rating. - `created_at` is the original Douban timestamp in China Standard Time (UTC+8); `scraped_at` is ISO-8601 UTC. - For long reviews, `content_truncated: false` means the full essay body was captured (`fetchFullReviewText` enabled). ### Pricing Pay-per-event — you pay per item actually extracted, so cost scales with value: | Event | Price | |---|---| | Long review (full body + sentiment) | $0.025 | | Short comment | $0.005 | | Subject info | $0.006 | | Group topic | $0.012 | | Actor start | $0.00005 | (Final prices are shown on the Apify Store listing.) ### Limitations - Douban serves a JavaScript proof-of-work anti-bot challenge, so this actor runs a **real headless browser** (Playwright + Chromium) to clear it. Recommended run settings: **4 GB memory** and **residential Apify Proxy**. The browser solves the challenge automatically and retries on a fresh session if it doesn't clear. - Douban limits how deep short-comment pagination goes for logged-out access (typically the first few hundred). Set `maxCommentsPerSubject` realistically. - A minority of titles (often sensitive ones) gate their **short comments** behind login entirely for logged-out visitors; for those, the actor still returns the subject info and long reviews, but short comments come back empty. Long reviews and ratings are not gated. - Keep `maxConcurrency` modest (default 3). Under heavy concurrency Douban occasionally soft-throttles a page, which can make a single comment page come back empty; lower concurrency avoids this. - Some music/book subject pages expose fewer fields (e.g. no genres); those come back `null`. - Public data only — the actor never logs in or scrapes login-walled content. ### FAQ **Which content should I scrape?** Toggle `scrapeShortComments`, `scrapeLongReviews` and `scrapeSubjectInfo` independently. Short comments are cheapest and highest-volume; long reviews are richer for sentiment / NLP work. **Can I run this on a schedule?** Yes — use Apify Schedules. Reviews are evergreen, so weekly is usually plenty. **How do I export to my DB / Google Sheets?** Use Apify Integrations or the Dataset API — every field above is available via `/items?format=json|csv|xlsx`. The dataset also ships pre-built **Short comments** and **Long reviews** table views. **Why is sentiment sometimes null?** The user rated nothing, so there's no star signal to map. The raw `content` is still captured. # Actor input Schema ## `startUrls` (type: `array`): One or more Douban URLs. Supported: movie & TV (movie.douban.com/subject/ID/), book (book.douban.com/subject/ID/), music (music.douban.com/subject/ID/) and group (douban.com/group/ID/). Paste the main subject page — the actor finds its reviews and comments automatically. ## `scrapeSubjectInfo` (type: `boolean`): Output one record per subject with its title, year, overall rating, rating count and genres. ## `scrapeShortComments` (type: `boolean`): Scrape short user comments (the high-volume rating + one-liner stream). Cheapest, highest-volume content. ## `scrapeLongReviews` (type: `boolean`): Scrape long-form reviews (full essays). Higher value, richer text for sentiment / AI-training use. ## `maxCommentsPerSubject` (type: `integer`): Hard cap on short comments scraped per subject. Douban paginates 20 per page. ## `maxReviewsPerSubject` (type: `integer`): Hard cap on long reviews scraped per subject. Douban paginates 20 per page. ## `fetchFullReviewText` (type: `boolean`): Long-review list pages only show a preview. When enabled, the actor opens each review to capture the full body. Costs one extra request per review. ## `tagSentiment` (type: `boolean`): Derive a positive / neutral / negative sentiment label from the author's Douban star rating (5–4 = positive, 3 = neutral, 2–1 = negative, no rating = null). ## `proxyConfiguration` (type: `object`): Douban blocks datacenter IPs. Residential Apify Proxy is strongly recommended for reliable runs. ## `maxConcurrency` (type: `integer`): Parallel headless-browser slots. Keep low — each uses a real Chromium instance and Douban rate-limits aggressively. Raise actor memory if you increase this. ## Actor input object example ```json { "startUrls": [ { "url": "https://movie.douban.com/subject/1292052/" } ], "scrapeSubjectInfo": true, "scrapeShortComments": true, "scrapeLongReviews": true, "maxCommentsPerSubject": 200, "maxReviewsPerSubject": 50, "fetchFullReviewText": true, "tagSentiment": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 3 } ``` # 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 = { "startUrls": [ { "url": "https://movie.douban.com/subject/1292052/" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("ws_tony/douban-reviews-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 = { "startUrls": [{ "url": "https://movie.douban.com/subject/1292052/" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("ws_tony/douban-reviews-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 '{ "startUrls": [ { "url": "https://movie.douban.com/subject/1292052/" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call ws_tony/douban-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ws_tony/douban-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Douban Reviews Scraper", "description": "Scrape Douban (豆瓣) ratings, reviews & comments with sentiment tags for movies, TV, books, music & groups. Clean JSON for NLP/LLM training & analysis.", "version": "0.1", "x-build-id": "GcxrCMc7Weo2xJTsN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ws_tony~douban-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ws_tony-douban-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ws_tony~douban-reviews-scraper/runs": { "post": { "operationId": "runs-sync-ws_tony-douban-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ws_tony~douban-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-ws_tony-douban-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Douban subject / group URLs", "type": "array", "description": "One or more Douban URLs. Supported: movie & TV (movie.douban.com/subject/ID/), book (book.douban.com/subject/ID/), music (music.douban.com/subject/ID/) and group (douban.com/group/ID/). Paste the main subject page — the actor finds its reviews and comments automatically.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "scrapeSubjectInfo": { "title": "Scrape subject info", "type": "boolean", "description": "Output one record per subject with its title, year, overall rating, rating count and genres.", "default": true }, "scrapeShortComments": { "title": "Scrape short comments", "type": "boolean", "description": "Scrape short user comments (the high-volume rating + one-liner stream). Cheapest, highest-volume content.", "default": true }, "scrapeLongReviews": { "title": "Scrape long reviews", "type": "boolean", "description": "Scrape long-form reviews (full essays). Higher value, richer text for sentiment / AI-training use.", "default": true }, "maxCommentsPerSubject": { "title": "Max short comments per subject", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Hard cap on short comments scraped per subject. Douban paginates 20 per page.", "default": 200 }, "maxReviewsPerSubject": { "title": "Max long reviews per subject", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Hard cap on long reviews scraped per subject. Douban paginates 20 per page.", "default": 50 }, "fetchFullReviewText": { "title": "Fetch full review text", "type": "boolean", "description": "Long-review list pages only show a preview. When enabled, the actor opens each review to capture the full body. Costs one extra request per review.", "default": true }, "tagSentiment": { "title": "Tag sentiment", "type": "boolean", "description": "Derive a positive / neutral / negative sentiment label from the author's Douban star rating (5–4 = positive, 3 = neutral, 2–1 = negative, no rating = null).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Douban blocks datacenter IPs. Residential Apify Proxy is strongly recommended for reliable runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Parallel headless-browser slots. Keep low — each uses a real Chromium instance and Douban rate-limits aggressively. Raise actor memory if you increase this.", "default": 3 } } }, "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 } } } } } } } } } } ```