# Bilibili Comments Scraper (`hgservices/bilbili-comments-scraper`) Actor Scrape comments from any Bilibili (哔哩哔哩) video — no login or code needed. Extract comment text, author, likes, reply counts, timestamps, IP region, and reply threads. Export to JSON, CSV, or Excel, or pull results via API. - **URL**: https://apify.com/hgservices/bilbili-comments-scraper.md - **Developed by:** [Harish Garg](https://apify.com/hgservices) (community) - **Categories:** Videos, Social media, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Bilibili Comments Scraper **Scrape comments from any [Bilibili](https://www.bilibili.com) (哔哩哔哩) video.** Paste one or more video URLs and get a clean, structured dataset with **one row per comment** — comment text, author, like count, and reply count. 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 Bilibili Comments Scraper do? **Bilibili Comments Scraper extracts the public comments from Bilibili videos** and turns them into structured data you can analyze or export. Give it a list of Bilibili video URLs (full links, `b23.tv` share links, or bare `BV` / `av` IDs) and for each video it will: - collect **comments**, sorted by **hottest** or **newest** first; - optionally pull the **reply threads** under each comment; - return every comment as a flat, ready-to-analyze record with author, likes, and timestamp. No Bilibili account or login is needed — only the comments any visitor can see on the website are collected. Export the results to **JSON, CSV, Excel, or HTML**, or pull them straight from the Apify API. ### Why use Bilibili Comments Scraper? - **Audience & sentiment research** — analyze what viewers say about a video, product, or campaign. - **Creator (UP主) vetting** — inspect real engagement and audience reactions on a channel's videos. - **Trend and market monitoring** — track how audiences react to trending videos and topics over time. - **Brand & competitor analysis** — mine comments on competitors' popular videos. - **Datasets for NLP** — build Chinese-language comment corpora for research or model training. ### How to scrape Bilibili comments 1. Open the actor and go to the **Input** tab. 2. Paste one or more Bilibili **video URLs** into **Video URLs** (e.g. `https://www.bilibili.com/video/BV1xx411c7mD`). Share links like `https://b23.tv/xxxx` and bare IDs like `av170001` or `BV1xx411c7mD` work too. 3. (Optional) Set **Max comments per video**, choose **Sort by** (hottest or newest), and toggle **Include replies**. 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 Bilibili video URLs, share links, or bare `BV`/`av` IDs. | | `maxCommentsPerVideo` | integer | Max comments to collect per video, including replies (default `100`). | | `sortBy` | string | `hot` (hottest first, default) or `time` (newest first). | | `includeReplies` | boolean | Also scrape the reply threads under each comment (default `false`). | | `proxyConfiguration` | object | Proxy settings. Off by default — works fine without a proxy for most runs. | Example input: ```json { "startUrls": [ { "url": "https://www.bilibili.com/video/BV1xx411c7mD" } ], "maxCommentsPerVideo": 200, "sortBy": "hot", "includeReplies": false } ```` ### Output Each dataset item is a single comment. Top-level comments have `isReply: false`; when **Include replies** is on, replies appear as extra rows with `isReply: true` and a `parentCommentId` pointing at the comment they answer. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ```json { "videoUrl": "https://www.bilibili.com/video/BV1xx411c7mD", "bvid": "BV1xx411c7mD", "oid": 2, "commentId": 495059, "parentCommentId": null, "isReply": false, "isPinned": false, "text": "前方高能！", "createTime": "2010-12-09T18:10:39Z", "likeCount": 52991, "replyCount": 1457, "authorName": "碧诗", "authorMid": 2, "authorAvatar": "https://i2.hdslb.com/bfs/face/....jpg", "authorLevel": 6, "authorSex": "男" } ``` #### Data fields | Field | Description | |---|---| | `videoUrl` | Canonical URL of the source video. | | `bvid` | Bilibili's `BV` video ID. | | `oid` | Bilibili's numeric video ID for the source video. | | `commentId` | Unique ID of the comment. | | `parentCommentId` | For replies, the ID of the comment being replied to; `null` for top-level comments. | | `isReply` | `true` if the row is a reply within a thread. | | `isPinned` | `true` if the comment is pinned by the creator. | | `text` | The comment text. | | `createTime` | When the comment was posted (ISO 8601, UTC). | | `timestamp` | Raw Unix timestamp of the comment. | | `likeCount` | Number of likes on the comment. | | `replyCount` | Number of replies the comment received. | | `authorName` | Commenter's display name. | | `authorMid` | Commenter's numeric Bilibili user ID. | | `authorAvatar` | URL of the commenter's avatar. | | `authorLevel` | Commenter's Bilibili account level (0–6). | | `authorSex` | Gender shown on the commenter's profile, if any. | ### How much does it cost to scrape Bilibili comments? Cost scales with how many comments you collect: the more comments per video (and whether you include replies), the more work per run. To keep costs down, lower `maxCommentsPerVideo` and leave **Include replies** off unless you need thread data. 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. - **Pick the right sort.** Use `hot` for the most influential comments, `time` when you want the freshest reactions. - **Proxy is optional.** Leave it off for speed and lower cost; enable Apify Proxy only if you scrape at very high volume and start seeing blocks. ### FAQ, disclaimers, and support **Do I need a Bilibili 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 also be limited by how many comments Bilibili makes publicly available. **Does it work with `av` and `b23.tv` links?** Yes. Full `bilibili.com` links, `b23.tv` short links, and bare `BV` / `av` IDs are all accepted. **Is scraping Bilibili legal?** This actor only accesses publicly visible data. You are responsible for complying with Bilibili'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 Bilibili video URLs, share links, or bare IDs (e.g. https://www.bilibili.com/video/BV1xx411c7mD, https://b23.tv/xxxx, av170001, or BV1xx411c7mD). The actor fetches each video's comments and emits one dataset row per comment. ## `maxCommentsPerVideo` (type: `integer`): Upper bound on comments collected per video (top-level comments plus any replies count toward this total). The actor pages through comments until it reaches this number or the video runs out. ## `sortBy` (type: `string`): 'hot' returns the most-liked / most-discussed comments first (matches Bilibili's default view). 'time' returns the newest comments first. ## `includeReplies` (type: `boolean`): If enabled, the reply thread under each top-level comment is also scraped and emitted as additional rows (marked with `isReply: true` and a `parentCommentId`). Replies count toward the max-comments limit. ## `proxyConfiguration` (type: `object`): Proxy settings. Proxy is OFF by default, which keeps runs fast and cheap and works for most use cases — Bilibili tolerates direct requests for public comments. Enable Apify Proxy only if you scrape at very high volume and start seeing blocks. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.bilibili.com/video/BV1xx411c7mD" } ], "maxCommentsPerVideo": 100, "sortBy": "hot", "includeReplies": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (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 = { "startUrls": [ { "url": "https://www.bilibili.com/video/BV1xx411c7mD" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("hgservices/bilbili-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": [{ "url": "https://www.bilibili.com/video/BV1xx411c7mD" }] } # Run the Actor and wait for it to finish run = client.actor("hgservices/bilbili-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": [ { "url": "https://www.bilibili.com/video/BV1xx411c7mD" } ] }' | apify call hgservices/bilbili-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hgservices/bilbili-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bilibili Comments Scraper", "description": "Scrape comments from any Bilibili (哔哩哔哩) video — no login or code needed. Extract comment text, author, likes, reply counts, timestamps, IP region, and reply threads. Export to JSON, CSV, or Excel, or pull results via API.", "version": "0.1", "x-build-id": "NjJFeg1nESmpsbp3R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hgservices~bilbili-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hgservices-bilbili-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hgservices~bilbili-comments-scraper/runs": { "post": { "operationId": "runs-sync-hgservices-bilbili-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hgservices~bilbili-comments-scraper/run-sync": { "post": { "operationId": "run-sync-hgservices-bilbili-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Bilibili video URLs, share links, or bare IDs (e.g. https://www.bilibili.com/video/BV1xx411c7mD, https://b23.tv/xxxx, av170001, or BV1xx411c7mD). The actor fetches each video's comments and emits one dataset row per comment.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxCommentsPerVideo": { "title": "Max comments per video", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Upper bound on comments collected per video (top-level comments plus any replies count toward this total). The actor pages through comments until it reaches this number or the video runs out.", "default": 100 }, "sortBy": { "title": "Sort comments by", "enum": [ "hot", "time" ], "type": "string", "description": "'hot' returns the most-liked / most-discussed comments first (matches Bilibili's default view). 'time' returns the newest comments first.", "default": "hot" }, "includeReplies": { "title": "Include replies", "type": "boolean", "description": "If enabled, the reply thread under each top-level comment is also scraped and emitted as additional rows (marked with `isReply: true` and a `parentCommentId`). Replies count toward the max-comments limit.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Proxy is OFF by default, which keeps runs fast and cheap and works for most use cases — Bilibili tolerates direct requests for public comments. Enable Apify Proxy only if you scrape at very high volume and start seeing blocks.", "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 } } } } } } } } } } ```