Bilibili Scraper - Chinese Video Intelligence
Pricing
from $20.00 / 1,000 item scrapeds
The most-used Bilibili scraper on Apify. Extract Chinese Gen-Z video sentiment, danmaku reactions and creator analytics from Bilibili (哔哩哔哩) — China's largest video platform, 300M+ users. Danmaku, coins and favorites included. No login required.
What to scrape from Bilibili
Search query — works in Chinese (人工智能) and English (AI tutorial). Used in 'search' mode.
When on, a Latin brand name (e.g. 'Nike') also searches its Chinese name ('耐克') and results are merged — so you get full native recall even when searching in English. Capped at maxResults (no extra cost). Add your own variants via Search aliases below.
Extra term variants to also search and merge with your query — e.g. add '耐克' for Nike, or alternate spellings. Useful for brands not in the built-in dictionary.
How to sort search results. Used in 'search' mode.
Filter search results by video duration. Used in 'search' mode.
Filter videos published after this date (YYYY-MM-DD). Leave empty for no filter. Used in 'search' mode.
Filter videos published before this date (YYYY-MM-DD). Leave empty for no filter. Used in 'search' mode.
Turn a one-off pull into a recurring monitor: when on, each run returns only videos not seen in previous runs (deduped by video ID across runs, per Delta state key). Pair it with an Apify Schedule for a hands-off daily/weekly 'what's new' feed — you pay only for genuinely new videos. Works in 'search' mode (new videos for your keyword) and 'popular' mode (new videos trending now that weren't before). Tip: in search mode set Sort order to 'Newest first' for monitoring.
Names the saved 'already-seen' state so independent monitors don't collide. Use a distinct key per query/category you track (e.g. 'nike-weekly', 'game-trending'). Only used when Delta mode is on.
Bilibili video URLs or BV IDs. Used in 'video_detail' and 'video_comments' modes. Example: https://www.bilibili.com/video/BV1xx411c7mD or BV1xx411c7mD
Bilibili user numeric IDs (mid). Used in 'user_videos' mode. Find a user's mid in their profile URL: space.bilibili.com/{mid}
Filter popular videos by category. Used in 'popular' mode.
Maximum number of results to scrape. Typical patterns: 20-50 for a quick lookup, 100-300 for daily creator / category monitoring, 500 for a full keyword sweep or content-analytics pull. Higher values automatically walk more result pages. See the Pricing tab for per-result cost.
In search, user videos and popular modes, also pull the comment thread of every video found and return each comment as its own row (type: comment, with likeCount, replyCount and author). Comments are where the audience opinion is — the video is the prompt, the replies are the sentiment. No login or cookie needed. Cap it with Max comments per video, and note that this multiplies the rows a run returns, and therefore what it costs: 100 videos × 20 comments is ~2,100 rows instead of 100. Off by default.
Bilibili serves an anonymous caller only 1-3 top-level comments per video, which is not a thread. Each of those roots arrives carrying some of its own replies in the same response, and without this flag they are discarded. Turn it on and every reply becomes its own row, tagged with rootRpid and isThreadReply so you can rebuild the conversation. How much more you get, measured 2026-08-15 and it varies a lot: a paired A/B on Apify itself returned +32% comment rows (31 to 41 across 25 videos), while the same code from a European residential IP saw 10 roots arrive with 20 inline replies. How many replies Bilibili inlines depends on the IP and on the video, so treat +32% as the realistic figure on Apify and anything above it as a bonus. Two honest caveats: replies bill as ordinary comment rows, so your bill grows with them; and roughly 4 in 10 videos return no comments at all anonymously, where the multiplier is simply zero. No extra requests are made either way. Off by default.
Danmaku (弹幕) is Bilibili's on-video scrolling commentary — comment text bound to a specific second of the video, which no other platform has. With this on, each video also returns one type: danmaku row with danmakuFetched, danmakuUniqueSenders, danmakuPerMinute, the peak minute and its count, first/last timestamps, and an evenly-spread text sample across the whole video. What it is for: second-by-second audience reaction on an ad or a launch, and creator vetting — danmaku-per-minute beats view count as an engagement signal because a danmaku costs the viewer effort. Measured: a single video carries ~3,000 danmaku (3,415 on one test). Cost is predictable: this adds ONE row per video, not one per danmaku. Off by default. Billing: each danmaku row is its own danmaku-profile event at $0.05 — 2.5x a normal $0.02 row — because it fetches and reduces ~3,000 danmaku per video. Profiling 200 videos costs $10. Off by default.
How many danmaku texts to include in the sample, spread evenly across the video timeline (not the first N, which would all come from the opening seconds). The sample rides inside the single danmaku row, so raising it does not add billable rows.
Maximum number of comments to scrape per video. Used in 'video_comments' mode.
How to sort comments. Used in 'video_comments' mode.
