Historical Reddit Comment Dataset Builder

Created by

Automation Lab

Actor

Reddit Historical Archive Scraper

Scrape keyword-matching historical Reddit comments for brand monitoring, OSINT, NLP, or RAG workflows.

Try for free

Reddit Historical Archive Scraperautomation-lab/reddit-historical-archive-scraper

Post ID

Title

Author

Subreddit

+8 fields

Input

Record types:comments

Subreddits:technology

Keyword or phrase:privacy

After date (inclusive)(required):2024-01-01

Before date (exclusive)(required):2024-02-01

Minimum score:1

Maximum archive records:1000

Maximum archive pages:200

Output fields

Post ID

Title

Author

Subreddit

Created

Score

Comments

Reddit post

Outbound URL

Flair

NSFW

Archive request

How it works

Sign up on Apify or log in

The Reddit Historical Archive Scraper Actor is ready to run with the inputs already set for "Historical Reddit Comment Dataset Builder". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Historical Reddit Comment Dataset Builder" task

The Reddit Historical Archive Scraper Actor will start running based on the input automatically. You can also change all the input fields, like record types, subreddits, and more, to match your specific use case.

Receive the "Historical Reddit Comment Dataset Builder" 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 post id, title, author, 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 "Historical Reddit Comment Dataset Builder" task via API.