Youtube Comments Scraper (Pay Per Results) avatar

Youtube Comments Scraper (Pay Per Results)

Try for free

Pay $1.80 for 1,000 Comments

Go to Store
Youtube Comments Scraper (Pay Per Results)

Youtube Comments Scraper (Pay Per Results)

easy_peasy_api/youtube-comments-scraper-pay-per-results
Try for free

Pay $1.80 for 1,000 Comments

Easily collect full text YouTube comments with this tool! Just enter video URLs, and get all the data you need in JSON format, including comment text, like counts, and commenter info. Great for researchers and developers.

YouTube Comments Scraper

The YouTube Comments Scraper is a tool designed to extract data from YouTube comments. By simply providing a video URL, you can retrieve:

all comments from selected YouTube videos details such as comment text, author name, posting date, like count, and reply count information on whether a comment received a creator's heart or if its author is the channel owner

How to use YouTube Comments Scraper?

Super easy ! The YouTube Comments Scraper is built to be simple and accessible, even for beginners. Here's how you can use it to extract YouTube comment data:

-Create an account on Apify. -Open the YouTube Comments Scraper. -Input the YouTube video URLs to scrape the comments. -Click the "Start" button and wait for the extraction process to complete. -Download your extracted data in formats like JSON, XML, CSV, Excel, or HTML.

How much will scraping YouTube comments Scraper cost you?

This scraper operates on a pay-per-result model, meaning you only pay for the successful results returned by the YouTube comments Scraper. The cost is $1.8 for every 1,000 comments.

YouTube comments Scraper data input

1{
2  "url": [
3    "<https://www.youtube.com/watch?v=rYEDA3JcQqw>"
4  ]
5}

The input for YouTube Comments Scraper should be a YouTube video URL.

YouTube comments Scraper data output

The output from YouTube comments Scraper Scraper is stored in the dataset. After the run is finished, you can download the dataset in various data formats (JSON, CSV, XML, RSS, HTML Table).

1{
2    "video_id": "rYEDA3JcQqw",
3    "author_id": "UCcXm2Edf3g2-YlTiZI7bs2g",
4    "author_name": "@Jiftoo",
5    "content": "It feels so weird coming back to old songs having learned English",
6    "published_time": "4 years ago",
7    "avatar": "https://yt3.ggpht.com/DTgFHslh-3u_sGyZ29n4MuHIAHQNAc58kTH30bsaioKhHh77wLSl7m4on92PB_IF8kMd0XBej4Y=s88-c-k-c0x00ffffff-no-rj",
8    "like": "25 k",
9    "reply": "260",
10    "is_verified": false,
11    "is_current_user": false,
12    "is_creator": false,
13    "is_artist": false
14  }
Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Sep 2024

  • Modified 3 months ago