Is it legal to scrape Vimeo?

Scraping public data like video titles and view counts for research is generally permitted, but you must comply with Vimeo's Terms of Service. Vimeo recently updated its policies to specifically prohibit scraping for AI training without explicit consent. Always avoid scraping private or password-protected content to stay within legal boundaries.

Does Vimeo have an official API?

Yes, Vimeo offers a robust developer API that provides structured access to videos, users, and groups. It is the most reliable way to obtain data but requires an API token and is subject to strict rate limits. For most professional use cases, the API is the preferred method over web scraping.

How do I avoid being blocked by Vimeo?

To prevent blocking, use rotating residential proxies and ensure your scraper mimics a real browser's behavior, including headers and JavaScript execution. Avoid making hundreds of requests per minute from a single IP address. Using a headless browser with stealth plugins is often necessary to bypass Akamai's detection.

Can I scrape Vimeo videos directly?

While you can scrape video metadata easily, downloading the actual video files is more complex and often involves bypassing DRM or finding hidden playback URLs. Many developers use tools like yt-dlp to handle the complexities of video stream extraction, though this should only be done for content you have the rights to.

What format is the scraped data usually in?

Vimeo scrapers typically output data in JSON or CSV formats. JSON is particularly useful because much of Vimeo's internal data is already structured as JSON within the page's script tags, making it easy to map to a database. Automatio can automatically export this data to Google Sheets or via Webhooks.

How often should I scrape Vimeo?

The frequency depends on your goals; for tracking trends, a weekly crawl is sufficient, whereas monitoring view count growth might require daily updates. High-frequency scraping (hourly) significantly increases the risk of being flagged by anti-bot systems, so it is best to space out your requests.

Which proxies work best for Vimeo?

Residential proxies are highly recommended for Vimeo because the platform's security layers easily identify and block data center IP ranges. High-quality mobile proxies are even more effective but come at a higher cost. For smaller tasks, a well-managed pool of rotating residential IPs is the standard choice.

How to Scrape Vimeo: A Guide to Extracting Video Metadata

Master Vimeo scraping to extract video titles, view counts, and creator data. Learn to bypass Akamai anti-bot and use the official Vimeo API effectively.

Start Scraping Free

vimeo.comHard

Coverage:GlobalUnited StatesEuropeAsiaCanada

Available Data8 fields

TitlePriceDescriptionImagesSeller InfoPosting DateCategoriesAttributes

All Extractable Fields

Video TitleVideo IDCreator NameCreator Profile URLView CountLike CountComment CountUpload DateDurationVideo TagsCategory NameStaff Pick StatusThumbnail Image URLVideo DescriptionResolutionUser BioUser LocationSocial Media Links

Technical Requirements

JavaScript Required

No Login

Has Pagination

Official API Available

Anti-Bot Protection Detected

Akamai Bot ManagerCloudflare Bot ManagementRate LimitingIP BlockingBrowser Fingerprinting

View API Documentation

About Vimeo

Learn what Vimeo offers and what valuable data can be extracted from it.

Vimeo is a high-end video hosting and sharing platform designed for creative professionals, filmmakers, and businesses. Unlike mass-market platforms, Vimeo focuses on high-fidelity playback, ad-free environments, and advanced collaboration tools. It serves as a global hub for high-quality content ranging from independent short films and documentaries to corporate webinars and creative portfolios.

The platform contains a wealth of structured media data, including highly specific metadata like Staff Pick status, category tags, user-engagement metrics, and detailed technical video specifications. For researchers and businesses, this data is a goldmine for analyzing creative trends, identifying top-tier talent, and monitoring high-quality video production across the globe.

Scraping Vimeo provides insights into the professional media landscape that are often unavailable on other social platforms. By extracting data from channels, categories, and individual video pages, users can build comprehensive datasets for market analysis, talent recruitment, and competitive content benchmarking in the film and animation industries.

Why Scrape Vimeo?

Discover the business value and use cases for extracting data from Vimeo.

Talent Discovery

Identify high-performing filmmakers and animators for recruitment or collaboration.

Trend Analysis

Track visual styles and technical equipment trends within specific creative communities.

Competitive Intelligence

Monitor the video marketing strategies and engagement rates of rival brands.

Market Research

Analyze video performance metrics to understand audience preferences in niche genres.

Content Curation

Aggregate high-quality video resources for niche galleries or educational platforms.

Sentiment Analysis

Extract user comments to gauge professional reception of creative work.

Scraping Challenges

Technical challenges you may encounter when scraping Vimeo.

Advanced Anti-Bot Measures

Akamai Bot Manager and Cloudflare frequently block non-browser requests.

Dynamic Content Loading

Most metadata is rendered via React, requiring a headless browser or JS execution.

Hidden JSON Blobs

Crucial data is often stored in a script tag (window._vimeoConfig) rather than raw HTML tags.

Rate Limiting

Vimeo aggressively limits IPs that make high-frequency requests to video search and discovery pages.

Complex Selector Changes

Vimeo's DOM structure and class names are subject to frequent updates.

Scrape Vimeo with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

Describe What You Need

Tell the AI what data you want to extract from Vimeo. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates Vimeo, handles dynamic content, and extracts exactly what you asked for.

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Automatic Bypass: Effortlessly navigates Akamai and Cloudflare protections without manual configuration.

No-Code Dynamic Interaction: Handles infinite scrolling and dynamic loading with simple point-and-click tools.

Managed Proxies: Uses high-quality residential proxy rotation to prevent IP-based blocking and rate limits.

Cloud Execution: Runs scraping tasks on remote servers, allowing for 24/7 monitoring of video metrics.

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for Vimeo

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Vimeo. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

Install browser extension or sign up for the platform

Navigate to the target website and open the tool

Point-and-click to select data elements you want to extract

Configure CSS selectors for each data field

Set up pagination rules to scrape multiple pages

Handle CAPTCHAs (often requires manual solving)

Configure scheduling for automated runs

Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup
import json

# Advanced headers to mimic a real browser
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

def scrape_vimeo_video(video_url):
    session = requests.Session()
    response = session.get(video_url, headers=headers)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Search for the configuration blob in script tags
        script_tag = soup.find('script', string=lambda t: t and 'window.vimeo.clip_page_config' in t)
        if script_tag:
            # Logic to extract JSON would go here
            print('Successfully found metadata blob in page source.')
            return True
    print(f'Failed to fetch page: {response.status_code}')
    return False

scrape_vimeo_video('https://vimeo.com/76979871')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

●Fastest execution (no browser overhead)
●Lowest resource consumption
●Easy to parallelize with asyncio
●Great for APIs and static pages

Limitations

●Cannot execute JavaScript
●Fails on SPAs and dynamic content
●May struggle with complex anti-bot systems

from playwright.sync_api import sync_playwright

def scrape_vimeo_dynamic():
    with sync_playwright() as p:
        # Launching a headed browser can sometimes help bypass basic bot checks
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/119.0.0.0 Safari/537.36')
        page = context.new_page()
        
        # Navigate to a category page
        page.goto('https://vimeo.com/channels/staffpicks')
        
        # Wait for video cards to render
        page.wait_for_selector('div[data-testid="video-card"]', timeout=10000)
        
        # Extract titles
        titles = page.locator('h3').all_inner_texts()
        for title in titles:
            print(f'Found Video: {title}')
            
        browser.close()

if __name__ == '__main__':
    scrape_vimeo_dynamic()

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy

class VimeoSpider(scrapy.Spider):
    name = 'vimeo_spider'
    start_urls = ['https://vimeo.com/search?q=animation']
    
    custom_settings = {
        'USER_AGENT': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
        'CONCURRENT_REQUESTS': 1,
        'DOWNLOAD_DELAY': 3
    }

    def parse(self, response):
        # Scrapy can parse the JSON inside script tags for more reliable data
        for video in response.css('div.iris_video-vital'):
            yield {
                'title': video.css('a::text').get(),
                'link': response.urljoin(video.css('a::attr(href)').get()),
                'author': video.css('span.author::text').get()
            }
            
        next_page = response.css('a[rel="next"]::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/115.0.0.0 Safari/537.36');
  
  await page.goto('https://vimeo.com/watch', { waitUntil: 'networkidle2' });

  // Scroll to trigger lazy loading
  await page.evaluate(() => window.scrollBy(0, window.innerHeight));
  
  const videoData = await page.evaluate(() => {
    const titles = Array.from(document.querySelectorAll('h3'));
    return titles.map(t => t.innerText);
  });

  console.log('Video Titles Scraped:', videoData);

  await browser.close();
})();

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape Vimeo with Code

Python + Requests

import requests
from bs4 import BeautifulSoup
import json

# Advanced headers to mimic a real browser
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

def scrape_vimeo_video(video_url):
    session = requests.Session()
    response = session.get(video_url, headers=headers)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Search for the configuration blob in script tags
        script_tag = soup.find('script', string=lambda t: t and 'window.vimeo.clip_page_config' in t)
        if script_tag:
            # Logic to extract JSON would go here
            print('Successfully found metadata blob in page source.')
            return True
    print(f'Failed to fetch page: {response.status_code}')
    return False

scrape_vimeo_video('https://vimeo.com/76979871')

Python + Playwright

from playwright.sync_api import sync_playwright

def scrape_vimeo_dynamic():
    with sync_playwright() as p:
        # Launching a headed browser can sometimes help bypass basic bot checks
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/119.0.0.0 Safari/537.36')
        page = context.new_page()
        
        # Navigate to a category page
        page.goto('https://vimeo.com/channels/staffpicks')
        
        # Wait for video cards to render
        page.wait_for_selector('div[data-testid="video-card"]', timeout=10000)
        
        # Extract titles
        titles = page.locator('h3').all_inner_texts()
        for title in titles:
            print(f'Found Video: {title}')
            
        browser.close()

if __name__ == '__main__':
    scrape_vimeo_dynamic()

Python + Scrapy

import scrapy

class VimeoSpider(scrapy.Spider):
    name = 'vimeo_spider'
    start_urls = ['https://vimeo.com/search?q=animation']
    
    custom_settings = {
        'USER_AGENT': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
        'CONCURRENT_REQUESTS': 1,
        'DOWNLOAD_DELAY': 3
    }

    def parse(self, response):
        # Scrapy can parse the JSON inside script tags for more reliable data
        for video in response.css('div.iris_video-vital'):
            yield {
                'title': video.css('a::text').get(),
                'link': response.urljoin(video.css('a::attr(href)').get()),
                'author': video.css('span.author::text').get()
            }
            
        next_page = response.css('a[rel="next"]::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/115.0.0.0 Safari/537.36');
  
  await page.goto('https://vimeo.com/watch', { waitUntil: 'networkidle2' });

  // Scroll to trigger lazy loading
  await page.evaluate(() => window.scrollBy(0, window.innerHeight));
  
  const videoData = await page.evaluate(() => {
    const titles = Array.from(document.querySelectorAll('h3'));
    return titles.map(t => t.innerText);
  });

  console.log('Video Titles Scraped:', videoData);

  await browser.close();
})();

What You Can Do With Vimeo Data

Explore practical applications and insights from Vimeo data.

Creative Talent Sourcing

Recruitment agencies use Vimeo data to find high-quality videographers by monitoring Staff Pick honors and engagement metrics.

How to implement:

1Scrape the 'Staff Picks' and 'Animation' categories daily.
2Filter creators based on view-to-like ratios and account age.
3Extract creator contact links or social media profiles.
4Store data in a CRM for outreach and recruitment.

Use Automatio to extract data from Vimeo and build these applications without writing code.

More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents

Web Automation

Smart Workflows

Get Started Free

Pro Tips for Scraping Vimeo

Expert advice for successfully extracting data from Vimeo.

Target the window._vimeoConfig object inside script tags for structured JSON data that is much cleaner than raw HTML.

Use high-quality residential proxies. Data center IPs are often pre-emptively blocked by Vimeo's Akamai security layer.

Mimic human behavior by implementing random mouse movements and variable wait times between page navigations.

If you only need metadata, consider using the official Vimeo API; it is significantly more stable than web scraping for high-volume tasks.

Monitor the 'X-RateLimit' headers in network responses to understand how close you are to being temporarily throttled.

Scrape during off-peak hours for the target region to reduce the likelihood of triggering aggressive anti-bot activity.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Vimeo

Find answers to common questions about Vimeo

How to Scrape Vimeo: A Guide to Extracting Video Metadata

About Vimeo

Why Scrape Vimeo?

Talent Discovery

Trend Analysis

Competitive Intelligence

Market Research

Content Curation

Sentiment Analysis

Scraping Challenges

Advanced Anti-Bot Measures

Dynamic Content Loading

Hidden JSON Blobs

Rate Limiting

Complex Selector Changes

Scrape Vimeo with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for Vimeo

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for Vimeo

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape Vimeo with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With Vimeo Data

Creative Talent Sourcing

Video Content Benchmarking

Historical Trend Tracking

On-Demand Price Monitoring

What You Can Do With Vimeo Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping Vimeo

What Our Users Say

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Frequently Asked Questions About Vimeo

Is it legal to scrape Vimeo?

Does Vimeo have an official API?

How do I avoid being blocked by Vimeo?

Can I scrape Vimeo videos directly?

What format is the scraped data usually in?

How often should I scrape Vimeo?

Which proxies work best for Vimeo?