Reddit User Comments Scraper — Full History avatar

Reddit User Comments Scraper — Full History

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from $1.05 / 1,000 results

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Reddit User Comments Scraper — Full History

Reddit User Comments Scraper — Full History

Collect comments posted by a Reddit user and sort them by New, Hot, or Top. Paginate automatically and export structured comment records for audience or account research.

Pricing

from $1.05 / 1,000 results

Rating

0.0

(0)

Developer

ToolzerHub

ToolzerHub

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

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Collect the comments a Reddit user has posted, sorted by New, Hot, or Top.

Reddit User Comments Scraper is the ToolzerHub discussion-footprint tool for one account. Give it a username and it walks through every reply they've left across subreddits, up to your result cap.

A discussion footprint takes just a username

Provide a username, choose New, Hot, or Top, and set Max Results to bound how deep the reply footprint pull goes.

Scrape a user's comments

Enter a username, choose a sort mode, and set Max Results. Pagination is handled automatically.

FieldTypeRequiredDescription
usernamestringYesReddit username (without u/), or a profile URL (https://www.reddit.com/user/
sortstringNoSort order for the feed or listing.
maxItemsintegerNoMaximum number of items to save. Set 0 for no limit.

Example reply footprint pull

{
"username": "Turbulent_Nerve3744",
"sort": "NEW",
"maxItems": 50
}

Reply records built for tone and sentiment review

💬 Comment identity

FieldTypeDescription
idstringReddit fullname or ID of the item (post, comment, or search result).
usernamestringReddit username associated with the item.
subredditstringSubreddit display name the item belongs to.

📊 Engagement signals

FieldTypeDescription
created_atstringCreation timestamp reported by the source payload.
scorenumberNet score (upvotes minus downvotes) when available.
upvotesnumberUpvote count when reported separately from score.

Reply footprint preview

{
"id": "abcd123",
"username": "Turbulent_Nerve3744",
"subreddit": "pics",
"score": 84
}

What a footprint pull costs

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Use Max Results to bound a run before scaling to larger subreddits, users, or query lists.

Fair use of a reply footprint

This Actor extracts publicly available Reddit content. It should not be used to collect private user data. Make sure your use case complies with applicable privacy laws, Reddit's terms, and your own legal obligations. If you are unsure, consult a qualified lawyer.

Run this Actor from code

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("toolzerhub/reddit-user-comments-scraper").call(run_input={
"username": "Turbulent_Nerve3744",
"sort": "NEW",
"maxItems": 50
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Node.js

import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("toolzerhub/reddit-user-comments-scraper").call({
"username": "Turbulent_Nerve3744",
"sort": "NEW",
"maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Cross-reference the profile card or submitted posts

  • Reddit User Profile Scraper — Karma & Trophies — Fetch a Reddit user's public profile by username, including account and karma data. Enable the optional detail add-on to include the trophy case and active subreddit information.
  • Reddit User Posts Scraper — Full History — Collect posts submitted by a Reddit user and sort them by New, Hot, or Top. Paginate automatically and export structured post and engagement records for analysis.
  • Reddit Search Scraper — Posts, Users & More — Search Reddit by keyword across posts, users, subreddits, or comments. Choose the result type, paginate automatically, and export structured search results for research and monitoring.

ToolzerHub support

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

Contact: contact@toolzerhub.com