Bilibili Video Scraper

Bilibili Video Scraper 🔍

Bilibili Video Scraper is a tool that extracts detailed metadata from Bilibili videos, turning a list of video links into structured results you can analyze, enrich, or export. Whether you’re looking for Bilibili video scraper tool outputs, Bilibili video downloader-style assets, or Bilibili metadata scraper data (likes, coins, favorites, author info, and topic tags), this actor helps you gather it at scale—saving you hours of manual work.

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Why choose Bilibili Video Scraper?

Feature	Benefit
✅ All-in-one video metadata extraction	Collect key video stats, author details, and topic tags from each Bilibili video link in one run
✅ Reliability with built-in fallbacks	Includes resilience and graceful handling when a video page can’t be processed
✅ Structured JSON output	Gets clean fields like title, author, like_count, favorite_count, and topic_tag ready for downstream workflows
✅ Scales to batches of URLs	Process multiple Bilibili video links sequentially and push all results to a dataset automatically
✅ Dataset-ready for analysis & export	Produces output that’s straightforward to preview and export as JSON/CSV from Apify
✅ Proxy support for stable scraping	Works with proxy configuration to improve success when sites are sensitive to traffic

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Key features

• 🔎 Bilibili video metadata extraction: Pulls video title, description, author info, and engagement stats into a structured item
• 📊 Engagement stats in Bilibili-style counts: Formats likes, coins, favorites, and shares into readable strings (e.g., “9.8万”)
• 🧠 Topic tag detection: Derives a topic_tag from available tags associated with the video page
• 🏷️ Comprehensive tagging output: Includes tags plus a primary topic_tag for easier categorization
• 📝 Note count support (when available): Extracts the “篇笔记” value when present on the page
• 💾 Dataset saving out of the box: Pushes results to the Apify dataset automatically after processing your input URLs
• 🔄 Resilient processing: Skips invalid inputs and handles missing metadata fields gracefully without crashing the entire batch
• 🌐 URL support for standard Bilibili video links: Accepts direct Bilibili video URLs like https://www.bilibili.com/video/BV.../

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Input

Provide input via an input.json file. Example structure:

{
  "urls": [
    "https://www.bilibili.com/video/BV1dj411E7vt/"
  ]
}

Input Fields

Field	Required	Description
urls	No	A list of Bilibili video URLs to scrape. Add one or more https://www.bilibili.com/video/BV.../ links.

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Output

The actor saves your scraped video metadata as a dataset containing an array of JSON objects.

[
  {
    "id": "BV1dj411E7vt",
    "cover": "@96w.webp",
    "title": "Video title",
    "url": "https://www.bilibili.com/video/BV1dj411E7vt/",
    "view_count": "",
    "dm_count": "",
    "pubdate": "",
    "copyright": "",
    "like_count": "9.8万",
    "coin_count": "123万",
    "favorite_count": "4.5万",
    "share_count": "6789",
    "note_count": "1篇笔记",
    "description": "Video description",
    "reply_count": "",
    "topic_tag": "tag-name",
    "author": "Author name",
    "author_url": "https://space.bilibili.com/123456789/",
    "avatar": "author-face-image-id",
    "tags": []
  }
]

Output Fields

Field	Type	Description
id	string	The Bilibili video identifier (bvid) extracted from the page state
cover	string	Cover image path built from the author avatar reference (when available)
title	string	Video title
url	string	The input video URL you provided
view_count	string	View count field (returned as an empty string in the current output mapping)
dm_count	string	Danmaku count field (returned as an empty string in the current output mapping)
pubdate	string	Publication date field (returned as an empty string in the current output mapping)
copyright	string	Copyright field (returned as an empty string in the current output mapping)
like_count	string	Like count formatted in Bilibili style (e.g., “9.8万”)
coin_count	string	Coin count formatted in Bilibili style
favorite_count	string	Favorite count formatted in Bilibili style
share_count	string	Share count formatted in Bilibili style
note_count	string	Extracted “篇笔记” count when present; otherwise empty
description	string	Video description text (desc)
reply_count	string	Reply count field (returned as an empty string in the current output mapping)
topic_tag	string	A primary topic tag selected from the available tag list (first tag name)
author	string	Author display name
author_url	string	Author profile URL (https://space.bilibili.com/{mid}/) when author mid is available
avatar	string	Author face reference value from the page state
tags	array	Full list of tag names (may be empty)

Note: Errors and per-URL failure states are not emitted as separate “error objects” in the output mapping—only successfully built items are pushed to the dataset.

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How to use Bilibili Video Scraper (via Apify Console)

1. Open Apify Console Log in at https://console.apify.com and go to the Actors section.

2. Find the actor Search for Bilibili Video Scraper and open its actor page.

3. Go to the INPUT panel Paste your input JSON, using the urls array.

4. Add your Bilibili video links Include one or more URLs like https://www.bilibili.com/video/BV.../.

5. (Optional) Proxy settings If you use proxy configuration in your workflow, enable it in the actor UI where applicable. This actor also uses built-in proxy support for more stable scraping.

6. Run the actor Click Run. Watch the logs for “Processing” updates and progress. Items with missing or unparseable metadata are skipped.

7. Open your dataset results After completion, open the OUTPUT section to access the dataset where results were pushed.

8. Export your data Export the dataset as JSON or CSV for your analysis pipeline or reporting workflows.

No coding required — get accurate Bilibili metadata outputs in minutes.

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Advanced features & SEO optimization

• 🚀 Engineered for Bilibili video metadata scraper workflows: Designed to transform a list of Bilibili video URLs into structured fields for analysis (likes, coins, favorites, author info, and topic tags).
• 🧰 Great for Bilibili batch video download planning: Even if you’re building a “download Bilibili videos” pipeline, this provides the metadata foundation you can join with other download steps.
• 🛡️ Resilience when pages change or blocks occur: Includes resilience and safe handling when metadata can’t be found, improving reliability across batches.
• 🔄 Politeness delays between URLs: Helps reduce friction when processing multiple Bilibili links in one run.
• 📌 Structured outputs for automation: Clean JSON fields make it easy to feed “Bilibili video scraping API” style pipelines without manual parsing.

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Best use cases

• 📈 Marketing teams enriching content libraries: Build a searchable database of Bilibili video metadata for campaign planning and performance analysis.
• 🔎 Analysts categorizing video topics at scale: Use topic_tag and tags to group content and compare engagement across niches.
• 🎯 Lead generation researchers: Collect author-facing details (like author_url) as part of broader creator discovery workflows.
• 🧪 Product and content research: Track engagement indicators such as likes, coins, favorites, and shares for hypothesis testing.
• 🗂️ Data pipeline builders: Feed structured JSON into downstream systems (ETL, dashboards, or “Bilibili video URL extractor” style automation).
• 🧾 Creators and community managers: Quickly compile metadata for multiple videos to support internal reporting and content strategy decisions.
• 💻 Developers building extensions or utilities: Use the dataset output as the metadata step for a larger “Bilibili danmaku downloader” / subtitles / audio workflow (when combined with other steps).

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Technical specifications

• Supported Input Formats

  • ✅ urls: an array of Bilibili video URLs (e.g. https://www.bilibili.com/video/BV.../)
  • ❌ No support for non-Bilibili video types (input should be Bilibili links)

• Proxy Support

  • ✅ Supported (built-in proxy support for stable scraping)
  • ❌ Not required, but recommended for larger batches or environments prone to blocking

• Retry Mechanism

  • ✅ Includes resilience and safe handling when metadata can’t be extracted
  • ❌ No user-configurable retry parameters are exposed in the provided input schema

• Dataset Structure

  • ✅ One dataset item per successfully parsed Bilibili URL
  • ✅ Output is an array of JSON objects pushed to the dataset

• Rate Limits & Performance

  • ✅ Processes the provided URLs in sequence with delays between requests
  • ✅ Designed for practical batching (no specific batch limit is defined in the provided files)

• Limitations

  • ❌ Some fields are returned as empty strings in the current output mapping (view_count, dm_count, pubdate, copyright, reply_count)
  • ❌ If the actor can’t parse metadata from the page state, that URL may be skipped (no item pushed for that entry)

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FAQ

What does the Bilibili Video Scraper extract from each video?

✅ It extracts structured metadata such as title, description, author information (author, author_url, avatar), engagement stats (like_count, coin_count, favorite_count, share_count), a topic_tag, and the list of tags when available.

Do I need to provide any special settings besides URLs?

No. The provided input schema only includes urls. Proxy support is handled as part of the actor’s execution, but you don’t need to add extra fields to use the basic functionality.

What does topic_tag mean?

topic_tag is derived from the available tag list found on the video page state. In the current mapping, it selects the first tag name as the primary topic.

Are view counts and reply counts included?

They are present as fields (view_count and reply_count) in the output schema, but in the current output mapping these specific fields are returned as empty strings.

Can I scrape multiple Bilibili videos in one run?

Yes. Provide multiple Bilibili video URLs in the urls array. The actor will process them and push successful results to the dataset.

Where can I download the results?

After the run completes, open the OUTPUT dataset in Apify Console and export the data as JSON or CSV.

Is this actor suitable for “Bilibili video downloader” projects?

Yes—especially if you need a metadata layer first. Many “download Bilibili videos” workflows depend on metadata like titles, authors, and engagement stats. This actor gives you that dataset-ready foundation.

Is the scraped data from publicly available sources?

✅ Yes. The actor is designed to collect information from publicly accessible sources. Please ensure your usage complies with applicable laws and platform policies (GDPR/CCPA and spam regulations where relevant).

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Support & feature requests

Want to improve Bilibili Video Scraper? We’d love your feedback on what you want next—like exporting richer fields, improving output formatting, or enhancing batch workflows.

💡 Feature Requests: For example, CSV export enhancements, additional metadata fields, or easier integrations into CRM pipelines.
📧 Contact: Email us at dataforleads@gmail.com.

Your feedback helps shape the roadmap for future versions of this Bilibili video scraper tool.

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Closing CTA / Final thoughts

Bilibili Video Scraper is the most comprehensive, SEO-optimized way to turn Bilibili video links into structured metadata—ready for analysis, enrichment, or automation.

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Disclaimer

This tool only accesses publicly accessible sources. It does not access private profiles, authenticated data, or password-protected content. It is the user’s responsibility to comply with applicable laws and regulations (including GDPR and CCPA where relevant), spam regulations, and the target platform’s Terms of Service.

For data removal requests, contact dataforleads@gmail.com. Please use this actor responsibly, ethically, and for legitimate purposes only.