Deprecated

Pricing

from $70.00 / 1,000 per video processeds

See alternative Actors

Go to Apify Store

YouTube Most Replayed Finder

Deprecated

See alternative Actors

Find the most replayed (hottest) moments in any YouTube video using the official heatmap. Get start/end times and intensity data to identify highlights and audience engagement peaks.

Pricing

from $70.00 / 1,000 per video processeds

Rating

0.0

(0)

Developer

Andria

Actor stats

Bookmarked

Total users

Monthly active users

9 months ago

Last modified

Categories

Automation

Videos

Social media

You can access the YouTube Most Replayed Finder programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("marbled_shelter/youtube-most-replayed-finder").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

YouTube Most Replayed Finder API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use YouTube Most Replayed Finder API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

YouTube Most Replayed Finder API in Python

YouTube Most Replayed Finder API through CLI

YouTube Most Replayed Finder OpenAPI definition

YouTube Most Replayed Finder API

📺 Youtube Most Replayed Scraper

scrapebase/youtube-most-replayed-scraper

📺 Scrapes most replayed segments and heatmap data from YouTube videos. 📊 Extracts metadata (title, channel, views, likes, comments, dates) plus mostReplayed and heatSeek arrays. 💾 Streams results live to the dataset; if blocked, automatically switches to Apify Residential proxy. ✨ Fast,...

ScrapeBase

Youtube Most Replayed Scraper

scraper-engine/youtube-most-replayed-scraper

The YouTube Most Replayed Scraper finds the most-watched moments in any YouTube video. Input URLs or keywords; it returns timestamps, heatmap scores, segments, titles, views, and links. Ideal for editors, educators, and marketers to spot highlights, hooks, and peak engagement. Exports CSV/JSON.

Scraper Engine

YouTube Most Replayed Scraper

api-empire/youtube-most-replayed-scraper

Scrape most replayed segments from YouTube videos with the Apify YouTube Most Replayed Scraper. Extract timestamps, replay intensity data, and engagement insights. Ideal for content optimization, audience behavior analysis, and trend discovery. Fast, precise, and easy to automate.

API Empire

YouTube Most Replayed Scraper

simpleapi/youtube-most-replayed-actor

An automation actor that extracts the most replayed segments from YouTube videos. It identifies high-interest timestamps, viewer engagement peaks, and retention patterns, helping creators optimize content, analyze audience behavior, and highlight key video moments effectively.

SimpleAPI

Youtube Most Replayed

scrapio/youtube-most-replayed-actor

Extracts the most replayed segments from YouTube videos, capturing peak moments, timestamps, replay intensity, and video metadata. Ideal for content analysis, highlight detection, viewer-behavior insights, and automated identification of high-engagement scenes