Youtube Most Replayed Scraper

What does YouTube Most Replayed Scraper do?

The YouTube Most Replayed Scraper is a smart tool that lets you extract data from YouTube’s Most Replayed feature—the heatmap above the progress bar showing the most watched or rewatched parts of a video. Instead of guessing what viewers love, you get structured insights into the exact moments that spark engagement.

Unlike the general Apify YouTube Scraper, which pulls full video and channel data, this scraper focuses on replay intensity and heatmap analytics. Developers sometimes turn to the YouTube Most Replayed API or even GitHub scrapers as alternatives, but this tool is faster and more user-friendly. Versions exist for iOS, download-ready builds, and other integrations, making it versatile for creators, marketers, or researchers.

What YouTube Most Replayed Scraper can I extract?

When you use the YouTube Most Replayed Scraper, you’re not just pulling random numbers—you’re creating a structured YouTube dataset that captures both video metadata and audience behavior. This makes it perfect for creators, marketers, or researchers who want to go beyond surface-level stats and understand how to scrape YouTube videos for deeper insights.

Here’s a breakdown of the core fields you can extract:

Data Type	Details Extracted
Video ID	Unique identifier of the video
Channel Name/Owner	Who published the video
Title	Full video title
Views	Total view count
Likes	Number of likes (if available)
Comments	Comment count
Upload Date	Exact and relative date
Replay Segments	Start/end times of most replayed parts
Heatmap Data	Intensity score for replay frequency
Engagement Metrics	Most rewatched sections vs. less engaged parts

This structured approach allows you to filter, compare, and analyze data across multiple videos—whether you’re studying the YouTube record for most views, analyzing YouTube rewinds ranked, or finding the highlights in trending videos.

Key Features of YouTube Most Replayed Scraper

• ⚡ Fast & efficient – optimized for large datasets and bulk video processing.

• 📊 Replay heatmap extraction – captures normalized intensity scores for every segment.

• 📂 Export options – JSON, CSV, Excel, and API-ready outputs.

• 🔗 API integration – works with the YouTube Most Replayed API and automation workflows.

• 📈 Bulk video support – process multiple URLs in one run.

Compared to the Apify YouTube Scraper, which captures broad video/channel details, this scraper zooms in on audience behavior—giving you clarity on what viewers actually replay the most.

How to use YouTube Most Replayed Scraper

Using the YouTube Most Replayed Scraper is simple—you don’t need to be highly technical to get started. Just follow a few straightforward steps and you’ll have structured replay heatmap data in minutes.

Step-by-Step Guide

1. Log in to Apify – Create a free account or sign in.

2. Select the Actor – Search for “YouTube Most Replayed Scraper” in the Apify store.

3. Enter Input Data – Paste your YouTube video URL(s) into the input field. You can add one or multiple links.

4. Choose Options – Decide if you want extra metadata like views, likes, or comments.

5. Run the Actor – Hit Start and let the scraper extract replay heatmap segments automatically.

6. Download Results – Export your dataset in JSON, CSV, Excel, or API-ready formats.

⬇️ Input Example

{
    "maxRetries": 3,
    "requestTimeoutSecs": 20,
    "urls": [
        "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
    ]
}

⬆️ Output Example

[
  {
    "videoId": "dQw4w9WgXcQ",
    "title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)",
    "channelOwner": "Rick Astley",
    "viewCount": "1694624700",
    "likes": "18549049",
    "comments": "2.4M",
    "dateText": "Oct 24, 2009",
    "relativeDate": "15 years ago"
  }
]

For automation, you can connect the scraper with the YouTube Most Replayed API, Zapier, or Google Sheets. Some creators also use YouTube Most Replayed Scraper iOS apps or download-ready builds for on-the-go analysis. This flexibility makes it a must-have tool for content optimization and trend tracking.

🎯 Why scrape YouTube Most Replayed Scraper?

1. Content Creators – Find the Highlights

Creators can instantly identify the most replayed segments and repurpose them into Shorts, reels, or teasers. This saves guesswork and helps grow engagement.

2. Marketers – Competitor Analysis

By scraping replay heatmaps, marketers see what hooks work in competitor videos. This insight fuels better campaign strategies and messaging.

3. Researchers – Audience Engagement Insights

Replay spikes highlight emotional or controversial moments. Researchers can use this structured data to study viewer psychology and behavior trends.

4. Trend Analysis – Viral Patterns

The scraper makes it easier to track the most replayed YouTube video, compare with YouTube record views in a day, or analyze YouTube rewinds ranked for cultural trends.

5. Editors – Save Time

Editors skip full replays and jump straight into replayed timestamps. This means faster highlight reels and more efficient editing workflows.

How many results can you scrape with YouTube Most Replayed Scraper?

The number of results you can scrape with the YouTube Most Replayed Scraper depends largely on the video itself. Each video is broken into replay segments and heatmap points, so the output scales with video length and viewer activity. A short clip may return a handful of replay timestamps, while a long-form video could generate hundreds of data points.

Typical limits:

• Standard videos: 50–200 replay segments

• Long-form content (30+ minutes): 300+ data points

• Shorts or low-view videos: very few or no replay heatmaps

Key factors that affect results:

• 📏 Video length – longer videos generate more replay intervals.

• 👀 Popularity – videos with higher views unlock richer heatmap data.

• 🔥 Heatmap availability – YouTube only shows the “Most Replayed” graph if the video has enough engagement.

• 🖥️ Proxies – using residential proxies helps ensure consistent scraping without blocks.

For bulk scraping, you can queue multiple video URLs in a single run. This makes it easier to build structured datasets across multiple channels or categories. While each video has its natural replay data limit, scaling across playlists or trending videos provides powerful insights into viewer habits and viral trends.

How much will scraping YouTube Most Replayed Scraper cost you?

The YouTube Most Replayed Scraper is one of the most affordable ways to extract replay heatmap data. You can get started for as little as $5 per month, which is more than enough for small to mid-scale projects.

Here’s how pricing usually works:

• Base Plan – $5/month for light users who only need to analyze a manageable number of videos.

• Scaling Up – If you’re scraping hundreds or thousands of videos, you may need higher Apify credits depending on workload.

• Pay-as-you-go Flexibility – Costs scale with the resources you consume, so you only pay for what you scrape.

This model makes it budget-friendly for creators, marketers, and researchers who want accurate replay insights without investing in expensive enterprise software. Whether you’re tracking a single highlight or analyzing the most replayed YouTube video across multiple channels, the $5/month plan gives you structured, export-ready data at a price almost anyone can afford.

Is it legal to scrape YouTube Most Replayed Scraper?

🔹 YouTube Terms of Service

YouTube’s Terms discourage automated scraping, but the Most Replayed feature is public data. Scraping it for research or analysis is less risky than trying to access private or hidden information.

🔹 Ethical Scraping Practices

Always stick to publicly available data—such as replay heatmaps, timestamps, views, and metadata. Avoid scraping personal user data, hidden emails, or restricted content.

🔹 GDPR and Data Privacy

Replay metrics and heatmaps are non-personal data, so they typically don’t raise GDPR concerns. Problems arise only if you attempt to scrape identifiable user data, like detailed comments tied to accounts.

🔹 Best Practice Summary

• ✅ Safe: Replay timestamps, heatmap intensity, video stats

• ❌ Risky: Private emails, hidden account info, personal identifiers

• ⚖️ Rule: Treat scraping as analytics, not data harvesting

What are other YouTube Most Replayed Scraper tools?

If you want to scrape specific YouTube data, you can use any of these dedicated scrapers with fewer settings to change and faster results. Just enter one or more YouTube URLs and click to scrape.

Apify YouTube Scraper	YouTube Most Replayed API
YouTube Scraping GitHub Repos	YouTube Channel Finder
AI YouTube Scrapers	YouTube Comments Scraper
YouTube Shorts Scraper	YouTube Video Scraper by Hashtag