Vimeo Video Scraper collects video titles, URLs, and IDs from Vimeo profile and channel pages with high reliability. It automates dynamic loading and pagination to deliver clean, structured video metadata for research, monitoring, and analysis.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for vimeo-video-scraper you've just found your team — Let’s Chat. 👆👆
This project extracts structured video information from Vimeo profiles and channels by handling infinite scrolling and dynamic loading. It solves the challenge of collecting complete video lists from modern, JavaScript-heavy pages. It is built for analysts, marketers, and developers who need reliable Vimeo video metadata at scale.
- Automatically navigates profile and channel pages
- Handles dynamic content loading and pagination
- Filters and validates video-only links
- Prevents duplicate entries during extraction
| Feature | Description |
|---|---|
| Dynamic Scrolling | Automatically scrolls pages to trigger lazy-loaded videos. |
| Load More Handling | Detects and clicks load buttons to fetch additional videos. |
| Multi-Strategy Extraction | Uses multiple detection methods to reliably find video elements. |
| Duplicate Filtering | Ensures each video is collected only once. |
| Error Resilience | Continues extraction even if some elements fail to load. |
| Configurable Limits | Controls the maximum number of videos collected per run. |
| Field Name | Field Description |
|---|---|
| title | The public title of the Vimeo video. |
| url | Direct URL linking to the video page. |
| videoId | Unique identifier assigned to the video by Vimeo. |
[
{
"title": "The Macallan: The Heart of the Spirit Pixel Artworks",
"url": "https://vimeo.com/999441939",
"videoId": "999441939"
},
{
"title": "Star Wars Hunters Pixel Artworks",
"url": "https://vimeo.com/992725997",
"videoId": "992725997"
}
]
vimeo-video-scraper/
├── src/
│ ├── main.py
│ ├── navigator/
│ │ ├── scroll_handler.py
│ │ └── pagination.py
│ ├── extractors/
│ │ ├── video_extractor.py
│ │ └── validators.py
│ ├── utils/
│ │ ├── deduplicator.py
│ │ └── logger.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_output.json
│ └── test_urls.txt
├── requirements.txt
└── README.md
- Content strategists use it to analyze Vimeo channels so they can identify publishing patterns and content gaps.
- Marketing teams use it to monitor competitor video output to refine their own video strategy.
- Researchers use it to collect structured video datasets for media and trend analysis.
- Developers use it to integrate Vimeo video metadata into dashboards or analytics pipelines.
Does this work on both profiles and channels? Yes, it supports standard Vimeo profiles and channel pages that use dynamic video loading.
How does it avoid duplicate videos? Each video is validated and indexed by its unique video ID before being added to the dataset.
Can I limit how many videos are collected? Yes, a configurable maximum limit controls how many videos are extracted in a single run.
What happens if some videos fail to load? The scraper continues running and collects all successfully loaded videos without stopping.
Primary Metric: Average extraction rate of 80–120 videos per minute on standard Vimeo channels.
Reliability Metric: Over 95% successful video detection across tested profiles and channels.
Efficiency Metric: Optimized navigation and batching minimize redundant page interactions and memory usage.
Quality Metric: Consistently high data accuracy with validated titles, URLs, and video IDs across full-page runs.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
|