Bilibili Homepage Scraper is a focused data extraction tool designed to collect structured information from the Bilibili homepage. It helps developers, analysts, and content teams turn dynamic homepage content into clean, reusable datasets. Built for reliability and flexibility, it simplifies working with large-scale Bilibili data.
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This project extracts structured list and detail data from the Bilibili homepage in a consistent and automation-friendly way. It solves the challenge of turning dynamic homepage content into usable datasets without manual effort. It’s ideal for developers, data analysts, researchers, and marketers working with Bilibili content insights.
- Collects structured homepage listing data in a single run
- Filters out sponsored and advertisement items automatically
- Supports multiple output formats for downstream workflows
- Designed for repeatable and scalable data collection
| Feature | Description |
|---|---|
| Homepage scraping | Extracts structured content directly from the Bilibili homepage. |
| Ad filtering | Automatically skips promoted or advertisement items. |
| Multi-format export | Outputs data in JSON, CSV, XML, Excel, HTML Table, RSS, or JSONL formats. |
| Flexible integration | Can be executed via scripts, API calls, or scheduled runs. |
| Stable parsing logic | Handles layout changes with resilient selectors. |
| Field Name | Field Description |
|---|---|
| video_id | Unique identifier of the video item. |
| title | Title of the video or content card. |
| url | Direct link to the video or content page. |
| author | Uploader or channel name. |
| play_count | Number of views displayed on the homepage. |
| like_count | Number of likes or interactions. |
| publish_time | Displayed publish or upload time. |
| thumbnail_url | URL of the video thumbnail image. |
| category | Content category or section on the homepage. |
[
{
"video_id": "BV1xx411c7mD",
"title": "Amazing Animation Short",
"url": "https://www.bilibili.com/video/BV1xx411c7mD",
"author": "CreativeStudio",
"play_count": 124532,
"like_count": 8421,
"publish_time": "2024-05-12",
"thumbnail_url": "https://i0.hdslb.com/example.jpg",
"category": "Animation"
}
]
Bilibili Homepage Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── homepage_parser.py
│ │ └── selectors.py
│ ├── exporters/
│ │ ├── json_exporter.py
│ │ ├── csv_exporter.py
│ │ └── excel_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_output.json
│ └── sample_input.txt
├── requirements.txt
└── README.md
- Content analysts use it to monitor homepage trends, so they can identify popular content patterns.
- Marketing teams use it to track featured videos, so they can optimize promotional strategies.
- Researchers use it to collect large datasets, so they can study audience engagement.
- Developers use it to automate data pipelines, so they can integrate Bilibili data into applications.
- Media teams use it to archive homepage content, so they can analyze changes over time.
Q: Does this scraper collect data beyond the homepage? A: No, it focuses specifically on homepage list and detail data to ensure accuracy and stability.
Q: Are advertisement items included in the output? A: Advertisement and sponsored items are automatically filtered out by default.
Q: What output formats are supported? A: The scraper supports JSON, CSV, XML, Excel, HTML Table, RSS, and JSONL formats.
Q: Can this handle frequent layout changes? A: Yes, the parsing logic is designed to be resilient against minor homepage structure updates.
Primary Metric: Average processing speed of 200–300 homepage items per minute under standard network conditions.
Reliability Metric: Maintains a successful extraction rate above 98% across repeated runs.
Efficiency Metric: Low memory footprint with optimized selectors and streaming exports.
Quality Metric: Data completeness consistently exceeds 95% for all supported fields.
