Pricing

from $1.30 / 1,000 comments

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YouTube Comments Scraper

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Developed by

Streamers

This alternative YouTube Data API has no limits or quotas. Extract YouTube comments data from one or multiple YouTube videos: full comment text, posting date, author username, video title, videoId. Download YouTube comments in JSON, CSV, and Excel.

4.8 (8)

Pricing

from $1.30 / 1,000 comments

138

Total users

6.3K

Monthly users

1.1K

Runs succeeded

99%

Issues response

20 hours

Last modified

5 days ago

Videos

Social media

Wrong pricing for run

Opened 3 days ago by matm, last comment 2 days ago by matm

Comments scraper is also returning video results in response

Opened a month ago by sivasai.y, last comment a month ago by Lukáš Průša (lukas.prusa)

YouTube Comments Scraper 📺💬

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YouTube Comments Scraper 🚀 | Pay Per Result

genial_candlestand/youtube-comments-scraper-ppr

🔍 Unleash the Power of YouTube Comments: Extract insightful comments from one or multiple YouTube videos effortlessly! 🚀 Export the data in your preferred format: HTML, JSON, CSV, Excel, or XML. Perfect for sentiment analysis, content improvement, and audience research. 📊✨

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Youtube Comments Scraper

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Easy_Peasy_API

Youtube Comments Scraper

scraper_one/youtube-comments-scraper

Extract comments from YouTube videos based on provided video URLs. Retrieve comment text, author info, timestamp, likes, and more. Perfect for audience sentiment analysis, content feedback tracking, and YouTube engagement monitoring.

Scraper One

Youtube Comments (1$/month - Reliable! & Efficient!)

insight_api_labs/youtube-comments-1-month---reliable-efficient

Our YouTube Comments Scraper is the most affordable, efficient, and dependable tool on Apify for extracting comments from YouTube videos.

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Youtube Comments Scraper (Pay Per Results)

easy_peasy_api/youtube-comments-scraper-pay-per-results

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Youtube Shorts Comments Scraper

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YouTube shorts comment scraper is a tool that extracts valuable data from any YouTube shorts video's comment section. Gather all comments, authors, posting dates, votes, reply counts. Use CSV or Excel or HTML tables, JSON... Scrape 100 comments in ~30 seconds and 1000 comments in ~5 minutes or less

karamelo