# Douban Reviews Scraper: 豆瓣 Movie, TV, Book & Music Reviews (`forgedata/douban-reviews-scraper`) Actor

Scrape full-length Douban (豆瓣) reviews of movies, TV, books and music: complete Chinese review text, 1 to 5 star rating, helpful votes, date and the title reviewed. Great for Chinese AI training and sentiment data. No login. $5 per 1,000 reviews.

- **URL**: https://apify.com/forgedata/douban-reviews-scraper.md
- **Developed by:** [Data Forge](https://apify.com/forgedata) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 reviews

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Douban Reviews Scraper (豆瓣影评 / 书评 / 乐评)

Get full-length **Douban (豆瓣) reviews** of movies, TV, books and music as clean JSON: the complete review text, the reviewer's star rating, helpful votes, publish date and the title being reviewed. **$5 per 1,000 reviews.** No login, no cookies, no browser.

Douban is China's largest community for film, book and music reviews, with millions of long-form, star-rated reviews written in Chinese. That makes it one of the best sources of labelled Chinese opinion text anywhere.

### What you can use it for

- **Chinese-language AI training data:** long-form, human-written text with a 1 to 5 star label on each review
- **Sentiment analysis:** star ratings give you ready-made labels for supervised training and evaluation
- **Entertainment and publishing research:** see how Chinese audiences talk about films, series, books and albums
- **Brand and market research:** track reactions to Western releases in China (Hollywood films, translated books, global artists)

### What you get for each review

| Field | Example |
|---|---|
| reviewId | 17739220 |
| url | https://movie.douban.com/review/17739220/ |
| category | movie, book or music |
| title | 真的好看! |
| rating | 5 (1 to 5 stars, or null if the reviewer gave none) |
| ratingLabel | 力荐 |
| publishedAt | 2026-08-01T07:21:30 |
| edited | true |
| usefulCount / uselessCount | helpful and unhelpful votes |
| content | the full review text, paragraphs kept |
| contentLength | 535 |
| subjectId, subjectTitle, subjectType, subjectUrl, subjectImage | the movie, book or album being reviewed |
| authorName | the reviewer's public display name |
| language | zh |
| scrapedAt | when the review was collected |

In testing, the average review was about 1,800 characters long, and about 85% of reviews carry a star rating.

### How to use it

1. Choose **where to get reviews**:
   - **Recently updated reviews** (default, largest volume): reads Douban's own public sitemaps, which list tens of thousands of recently updated reviews per file.
   - **Most popular reviews** or **Newest reviews**: Douban's public review feeds (a few hundred per category).
   - **Only the review URLs I paste**: fetch specific reviews, e.g. https://movie.douban.com/review/1000369/
2. Tick the categories you want: **Movies & TV**, **Books**, **Music**.
3. Set **Max reviews**.
4. Optional filters: **minimum star rating** and **minimum review length**, handy for training data.
5. Run it and download as JSON, CSV, Excel or via API.

To collect a different batch of reviews on a later run, raise **Start at sitemap file** (each file holds roughly 49,000 reviews).

### Pricing

**$5 per 1,000 reviews** saved, pay per result. You are never charged for pages that fail, reviews filtered out by your settings, or anything beyond your Max reviews.

### Example output

```json
{
  "reviewId": "17739220",
  "url": "https://movie.douban.com/review/17739220/",
  "category": "movie",
  "title": "真的好看!",
  "rating": 5,
  "ratingLabel": "力荐",
  "publishedAt": "2026-08-01T07:21:30",
  "edited": true,
  "usefulCount": 1,
  "uselessCount": 0,
  "content": "看完《蜘蛛侠4》，我才明白：对一个英雄最残忍的惩罚，不是杀死他……",
  "contentLength": 535,
  "subjectId": "36246195",
  "subjectTitle": "蜘蛛侠：崭新之日 Spider-Man: Brand New Day",
  "subjectType": "movie",
  "subjectUrl": "https://movie.douban.com/subject/36246195/",
  "subjectImage": "https://img3.doubanio.com/view/photo/s_ratio_poster/public/p2934276912.webp",
  "authorName": "低温",
  "language": "zh",
  "scrapedAt": "2026-10-28T19:55:46.856Z"
}
```

### What it does not do

- It does not collect every review for one specific movie or book. Douban protects its title pages with a security check, and this Actor does not try to get around it. Use the sitemap or feed modes for volume, or paste review URLs you already have.
- It does not log in, use private data, or collect reviewers' profile details beyond their public display name.
- Short comments (短评) and group discussions are not included, only full reviews (影评, 书评, 乐评).
- For book and music details (ISBN, publisher, rating breakdown, Top 250, tags), use our companion Actor, [Douban Books & Music Scraper](https://apify.com/forgedata/douban-books-scraper).

### Is it legal?

This Actor reads only public review pages that Douban's robots.txt allows crawlers to visit, and finds them through the sitemaps Douban publishes for search engines. It does not log in or bypass any access control. Reviews are written by Douban users, so check copyright and data-protection rules (including China's PIPL) for your use case before republishing text. This Actor is not affiliated with Douban.

### Integrations and API

Run it from the Apify API, schedule it, or connect it to Make, Zapier, n8n, Google Sheets and AI agents through the Apify MCP server.

### More from Data Forge

- [Douban Books & Music Scraper](https://apify.com/forgedata/douban-books-scraper): Douban ratings, ISBNs and Top 250
- [App Store Reviews Scraper](https://apify.com/forgedata/app-store-reviews-scraper): Apple App Store reviews from 100+ countries
- [Luma Events Scraper](https://apify.com/forgedata/luma-events-scraper): tech and startup events by city

# Actor input Schema

## `source` (type: `string`):

Recently updated reviews come from Douban's own sitemaps and reach the largest volume. Popular and newest use Douban's public review feeds (a few hundred per category). Or paste specific review URLs.

## `includeMovies` (type: `boolean`):

Include movie and TV reviews from movie.douban.com.

## `includeBooks` (type: `boolean`):

Include book reviews from book.douban.com.

## `includeMusic` (type: `boolean`):

Include album reviews from music.douban.com.

## `maxReviews` (type: `integer`):

Stop after saving this many reviews. You pay only for reviews saved.

## `reviewUrls` (type: `array`):

Used when 'Only the review URLs I paste' is selected. Example: https://movie.douban.com/review/1000369/

## `minRating` (type: `integer`):

Keep only reviews rated at least this many stars (1 to 5). 0 keeps all, including unrated reviews.

## `minLength` (type: `integer`):

Skip reviews shorter than this. Useful for training data.

## `sitemapStart` (type: `integer`):

Recently updated mode reads Douban's sitemap files in order. Raise this to pull a different batch of reviews on later runs (each file holds about 49,000 reviews).

## Actor input object example

```json
{
  "source": "recent",
  "includeMovies": true,
  "includeBooks": true,
  "includeMusic": true,
  "maxReviews": 100,
  "reviewUrls": [],
  "minRating": 0,
  "minLength": 0,
  "sitemapStart": 0
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("forgedata/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("forgedata/douban-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call forgedata/douban-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,forgedata/douban-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PDLGWQseLA2AlwFwg/builds/rOtKa9hrmcylNpHnQ/openapi.json