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Subreddit Technology Comment Sentiment Analysis

Analyze comment sentiment from the top posts in the technology subreddit over the past week. Gain insights from the most relevant discussions.

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Reddit Comment Scraper V2
Reddit Comment Scraper V2myagizm/reddit-comment-scraper-v2
Author
Comment
Score
Created (UTC)
+4 fields
Text
Number
Boolean
List
Object

Input

Post URLs
url:https://www.reddit.com/r/pics/comments/abc123/title/
Subreddits:technology
Post sort:top
Time range:week
Max comments per post:100
Max comment depth:6
Only comments on/after (YYYY-MM-DD):2026-01-01
Max posts to open:100
Max posts per subreddit:25
Max listing pages:1
Max request retries:3
Delay between requests (ms):300
Debug logging:false

Output fields

Author
Comment
Score
Created (UTC)
Depth
Subreddit
Post
URL

How it works

Sign up on Apify or log in

The Reddit Comment Scraper V2 Actor is ready to run with the inputs already set for "Subreddit Technology Comment Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Subreddit Technology Comment Sentiment Analysis" task

The Reddit Comment Scraper V2 Actor will start running based on the input automatically. You can also change all the input fields, like post urls, subreddits, and more, to match your specific use case.

Receive the "Subreddit Technology Comment Sentiment Analysis" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as author, comment, score, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Subreddit Technology Comment Sentiment Analysis" task via API.

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