A fast and lightweight media extraction crawler designed to scan web pages and uncover videos, images, documents, archives, and more. It removes the need for manual searching by automatically collecting media links across multiple levels of a website. Ideal for researchers, analysts, developers, and anyone needing structured media discovery at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This tool crawls websites and extracts 12 types of media, including videos, audio files, PDFs, images, APKs, and documents. It solves the challenge of manually locating file links—especially hidden or deeply nested ones—by automating discovery with configurable depth, targeting, and proxy support. Perfect for workflows involving bulk media analysis, dataset creation, compliance checks, or content archiving.
- Detects 12 media categories using optimized pattern scanning.
- Follows internal links to uncover media across multiple levels.
- Works without a browser to remain lightweight and fast.
- Provides clean JSON output with file type, URL, and timestamps.
- Supports proxy routing for restricted or rate-limited websites.
| Feature | Description |
|---|---|
| Multi-type media extraction | Finds videos, audio, images, documents, PDFs, archives, fonts, ebooks, and more. |
| Configurable crawl depth | Controls how deep into the site structure the crawler navigates. |
| Lightweight architecture | No browser required, reducing overhead and increasing throughput. |
| Proxy support | Enables access to geo-restricted or protected content. |
| Pattern-based detection | Uses file signatures to identify hidden or embedded media. |
| Structured output | Clean, timestamped JSON for easy processing or integration. |
| Field Name | Field Description |
|---|---|
| sourceUrl | The page URL where media was discovered. |
| pageTitle | Title of the page being scanned. |
| mediaLinks | Array containing discovered media items. |
| url | Direct link to the media file. |
| type | Classification such as image, video, audio, pdf, etc. |
| foundAt | Timestamp of when the media item was detected. |
[
{
"sourceUrl": "https://example.com/gallery",
"pageTitle": "Photo Gallery",
"mediaLinks": [
{
"url": "https://example.com/images/photo1.jpg",
"type": "image",
"foundAt": "2025-05-20T11:17:17Z"
},
{
"url": "https://example.com/videos/presentation.mp4",
"type": "video",
"foundAt": "2025-05-20T11:17:17Z"
}
]
}
]
Website Media Link Scraper/
├── src/
│ ├── runner.py
│ ├── crawler/
│ │ ├── link_scanner.py
│ │ ├── media_patterns.py
│ │ └── depth_controller.py
│ ├── extractors/
│ │ ├── video_extractor.py
│ │ ├── image_extractor.py
│ │ ├── document_extractor.py
│ │ └── archive_extractor.py
│ ├── utils/
│ │ ├── http_client.py
│ │ ├── parser.py
│ │ └── timestamp.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Researchers collect image, video, and document datasets quickly for analysis and model training.
- Digital marketers audit websites to extract downloadable assets for competitive intelligence.
- Media teams gather dispersed content into a single structured output for production workflows.
- Cybersecurity analysts map exposed files like documents or archives for compliance checks.
- Developers integrate automated media discovery into internal tools or platforms.
How deep should I crawl? A depth of 1–2 works for most sites. Higher depths uncover more links but may increase runtime significantly on large websites.
Can I target only specific file types? Yes. The extractor supports selecting one of 12 categories or scanning for all types at once.
Do I need proxies? Only if the target site restricts regions, rate limits aggressively, or blocks direct requests.
What about JavaScript-heavy pages? Most static and semi-dynamic sites work fine. Heavily JS-rendered sites may require extended configuration.
Primary Metric: Processes an average of 180–250 pages per minute due to lightweight, non-browser architecture.
Reliability Metric: Maintains a 96% link detection success rate across varied site structures during extended runs.
Efficiency Metric: Consumes minimal CPU and memory, enabling parallel crawls even on modest hardware.
Quality Metric: Outputs over 99% clean, valid media links with accurate type classification, ensuring high dataset usability.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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