# Douyin Comments Scraper (`hgservices/douyin-comments-scraper`) Actor Scrape Douyin (抖音) video comments and reply threads at scale. Export comment text, author, likes, reply count, and region to JSON, CSV, or Excel — no login needed. - **URL**: https://apify.com/hgservices/douyin-comments-scraper.md - **Developed by:** [Harish Garg](https://apify.com/hgservices) (community) - **Categories:** Videos, AI, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results 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 ## Douyin Comments Scraper **Scrape comments from any [Douyin](https://www.douyin.com) (抖音) video.** Paste one or more video URLs and get a clean, structured dataset with **one row per comment** — comment text, author, like count, reply count, and region. No login and no coding required. Runs on the [Apify platform](https://apify.com/actors), so you get API access, scheduling, integrations (Make, Zapier, Google Sheets, and more), automatic proxy rotation, and run monitoring out of the box. ### What does Douyin Comments Scraper do? **Douyin Comments Scraper extracts the public comments from Douyin videos** and turns them into structured data you can analyze or export. Give it a list of Douyin video URLs (or short `v.douyin.com` share links) and for each video it will: - collect **comments**, newest first; - return every comment as a flat, ready-to-analyze record with author, likes, timestamp, and region. No Douyin account or login is needed — the actor only reads publicly visible comments. Export the results to **JSON, CSV, Excel, or HTML**, or pull them straight from the Apify API. ### Why use Douyin Comments Scraper? - **Audience & sentiment research** — analyze what viewers say about a video, product, or campaign. - **Influencer vetting** — inspect real engagement and audience reactions on a creator's posts. - **Trend and market monitoring** — track how audiences in different regions respond. - **Brand & competitor analysis** — mine comments on competitors' viral videos. - **Datasets for NLP** — build Chinese-language comment corpora for research or training. ### How to scrape Douyin comments 1. Open the actor and go to the **Input** tab. 2. Paste one or more Douyin **video URLs** into **Video URLs** (e.g. `https://www.douyin.com/video/7045159024525905183`). Short share links like `https://v.douyin.com/xxxx/` work too. 3. (Optional) Set **Max comments per video**. 4. Click **Start**. When the run finishes, open the **Output** tab and download the data as JSON, CSV, Excel, or HTML. ### Input | Field | Type | Description | |---|---|---| | `startUrls` | array | **Required.** One or more Douyin video URLs or share links. | | `maxCommentsPerVideo` | integer | Max comments to fetch per video (default `100`). | | `proxyConfiguration` | object | Proxy settings. Uses Apify Proxy by default for the most reliable results. | Example input: ```json { "startUrls": [ "https://www.douyin.com/video/7045159024525905183" ], "maxCommentsPerVideo": 100 } ```` ### Output Each dataset item is a single comment. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ```json { "videoUrl": "https://www.douyin.com/video/7045159024525905183", "awemeId": "7045159024525905183", "cid": "7045200000000000000", "text": "太好看了！", "createTime": "2024-11-02T08:14:31+00:00", "diggCount": 128, "replyCount": 3, "authorName": "小明", "authorSecUserId": "MS4wLjABAAAA...", "authorUid": "987654321", "ipLabel": "广东" } ``` #### Data fields | Field | Description | |---|---| | `videoUrl` | The source video URL you provided. | | `awemeId` | Douyin's video ID. | | `cid` | Unique comment ID. | | `text` | The comment text. | | `createTime` | When the comment was posted (ISO 8601, UTC). | | `diggCount` | Number of likes on the comment. | | `replyCount` | Number of replies the comment received. | | `authorName` | Commenter's display name. | | `authorSecUserId` | Commenter's stable Douyin user ID. | | `authorUid` | Commenter's numeric user ID. | | `ipLabel` | Region shown by Douyin for the commenter (e.g. a province). | ### How much does it cost to scrape Douyin comments? Cost scales with how many comments you collect: the more comments per video, the more work per run. To keep costs down, lower `maxCommentsPerVideo`. Check the **Runs** tab after a small test run to gauge consumption for your workload before scaling up. ### Tips - **Start small.** Run one video with a low `maxCommentsPerVideo` first to confirm the output looks right, then scale up. - **Keep the default proxy.** Leaving proxy on Apify Proxy gives the most reliable and complete results. ### FAQ, disclaimers, and support **Do I need a Douyin account or login?** No. Only publicly visible comments are collected. **Can it scrape all comments on a video?** It collects comments up to your `maxCommentsPerVideo` limit. Very large threads may be limited by how many comments Douyin makes publicly available. **Is scraping Douyin legal?** This actor only accesses publicly visible data. You are responsible for complying with Douyin's Terms of Service and applicable laws (including privacy regulations such as GDPR) in how you collect and use the data. Do not scrape or store personal data without a lawful basis. **Something not working?** Use the **Issues** tab on the actor page to report bugs or request features. # Actor input Schema ## `startUrls` (type: `array`): One or more Douyin video URLs or share links (e.g. https://www.douyin.com/video/123... or https://v.douyin.com/xxxx/). The actor fetches each video's comments and emits one dataset row per comment. ## `maxCommentsPerVideo` (type: `integer`): Upper bound on comments fetched per video. The actor pages through comments (newest-first, in blocks of 20) until it reaches this number or the video runs out. ## `proxyConfiguration` (type: `object`): Proxy settings. Defaults to Apify Proxy — recommended, because un-proxied requests to Douyin's web endpoints get rate-limited (504s). Set {"useApifyProxy": false} to send requests directly. ## Actor input object example ```json { "startUrls": [ "https://www.douyin.com/video/7045159024525905183" ], "maxCommentsPerVideo": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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": [ "https://www.douyin.com/video/7045159024525905183" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hgservices/douyin-comments-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": ["https://www.douyin.com/video/7045159024525905183"] } # Run the Actor and wait for it to finish run = client.actor("hgservices/douyin-comments-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": [ "https://www.douyin.com/video/7045159024525905183" ] }' | apify call hgservices/douyin-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hgservices/douyin-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Douyin Comments Scraper", "description": "Scrape Douyin (抖音) video comments and reply threads at scale. Export comment text, author, likes, reply count, and region to JSON, CSV, or Excel — no login needed.", "version": "0.1", "x-build-id": "WHOaYJ5V8tRphYVsU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hgservices~douyin-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hgservices-douyin-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hgservices~douyin-comments-scraper/runs": { "post": { "operationId": "runs-sync-hgservices-douyin-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hgservices~douyin-comments-scraper/run-sync": { "post": { "operationId": "run-sync-hgservices-douyin-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Video URLs", "type": "array", "description": "One or more Douyin video URLs or share links (e.g. https://www.douyin.com/video/123... or https://v.douyin.com/xxxx/). The actor fetches each video's comments and emits one dataset row per comment.", "items": { "type": "string" } }, "maxCommentsPerVideo": { "title": "Max comments per video", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Upper bound on comments fetched per video. The actor pages through comments (newest-first, in blocks of 20) until it reaches this number or the video runs out.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Defaults to Apify Proxy — recommended, because un-proxied requests to Douyin's web endpoints get rate-limited (504s). Set {\"useApifyProxy\": false} to send requests directly.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```