# How do I scrape the comments on a Bilibili video?

> Pull the comments on any public Bilibili video by BV id: text, likes, reply counts, IP location and time. Cost per page, a CSV script, and what about danmaku.

Canonical page: https://okdata.online/answers/bilibili-video-comments-api/

**Short answer: **Use Bilibili video comments with the video's BV id: each call returns about 20 comments with text, likes, reply count, IP location and time, for $0.002. 1,000 comments cost $0.10, with no login or cookie. Danmaku (the bullet comments over the video) are not available here, only their count.

Say a tech reviewer posted a 20-minute teardown of your product and it has 3,000 comments. Reading them by hand takes an afternoon; pulling them into a spreadsheet and letting a model group the complaints takes a few minutes and costs $0.30. All you need is the BV id from the video link.

## The endpoint

[Bilibili video comments](/apis/bilibili/videos/comments/list/) takes `id` (the BV id, such as `BV1xx411c7mD`) and `sort`: `hot` for the most liked first, `latest` for newest first. Each comment has:

- `text`, `published_at` and `likes`
- `replies`, the number of replies under it, and `parent_id` when the row is itself a reply
- `ip_location`, the province Bilibili shows next to the comment
- `author` with name and mid

To find which videos are worth reading, start with [Bilibili video search](/apis/bilibili/videos/search/) at $0.002 a page and sort by comment count.

## Cost

| Job | Calls | Cost |
|---|---|---|
| The 200 hottest comments on one video | 10 | $0.02 |
| 1,000 comments | 50 | $0.10 |
| 10 review videos found by search, 300 comments each | 1 + 150 | $0.302 |

## A script that writes a CSV

```python
import csv, os, requests

URL = "https://api.okdata.online/v1/bilibili/videos/comments/list"
H = {"Authorization": f"Bearer {os.environ['OKDATA_API_KEY']}"}

def comments(bv, sort="latest", max_pages=50):
    cursor = None
    for _ in range(max_pages):
        params = {"id": bv, "sort": sort, **({"cursor": cursor} if cursor else {})}
        body = requests.get(URL, headers=H, params=params, timeout=60).json()
        if body["code"] != "ok":
            raise RuntimeError(f"{body['code']}: {body['message']}")
        yield from body["data"]["items"]
        if not body["page"]["has_more"]:
            return
        cursor = body["page"]["next_cursor"]

with open("comments.csv", "w", newline="", encoding="utf-8-sig") as f:
    w = csv.writer(f)
    w.writerow(["time", "likes", "replies", "ip_location", "text"])
    for c in comments("BV1xx411c7mD"):
        w.writerow([c["published_at"], c["likes"], c["replies"], c["ip_location"], c["text"]])
```

`utf-8-sig` makes Excel open the Chinese text correctly.

## About danmaku

Danmaku, the bullet comments that fly across the video, are not in the catalog. You get their count only: `ext.danmaku` on search results or video detail with `view=full`. If you need the danmaku text itself, the community docs in bilibili-API-collect describe the danmaku endpoints, and the open-source Python library bilibili-api can download them given the video's cid, which [video detail](/apis/bilibili/videos/get/) returns as `ext.cid`.

## Gotchas

- `hot` gives you the comments most people agreed with; `latest` gives you full coverage in time order. For sentiment over a whole video, use `latest`.
- Replies are counted on each comment but not expanded into the list, so a 40-reply argument shows up as one row with `replies: 40`.
- Comments disabled or deleted by the uploader are simply absent.
- Comment text is written by strangers. If a model reads it, tell the model to treat it as data, never as instructions.

## Other ways

For one video and a quick read, scrolling the page works. For heavy, ongoing collection you can maintain yourself, bilibili-api is free. For how comment data feeds into brand research, see the [word-of-mouth guide](/solutions/word-of-mouth/).

## Endpoints used

- [Bilibili video comments](https://okdata.online/apis/bilibili/videos/comments/list/) `bilibili.videos.comments.list`: $0.002 per call · about 20 comments per page
- [Bilibili video search](https://okdata.online/apis/bilibili/videos/search/) `bilibili.videos.search`: $0.002 per call · about 20 videos per page
- [Bilibili video detail](https://okdata.online/apis/bilibili/videos/get/) `bilibili.videos.get`: $0.002 per call

Updated 2026-11-12