Reddit Comments Scraper
Pricing
Pay per usage
Reddit Comments Scraper
Extract detailed comments and discussion threads from Reddit instantly. Perfect for sentiment analysis, market research, and community monitoring. Get structured data from any post URL efficiently. Residential proxies are recommended for high-volume scraping stability.
Pricing
Pay per usage
Rating
5.0
(5)
Developer
Shahid Irfan
Maintained by CommunityActor stats
4
Bookmarked
55
Total users
14
Monthly active users
4 days ago
Last modified
Categories
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What does Reddit Comments Scraper do?
Reddit Comments Scraper collects available comments from public Reddit threads through the Arctic Shift public Reddit data API and returns the existing structured dataset with author details, scores, timestamps, threading depth, flair, moderation flags, and post context. Provide a Reddit post URL and set a comment limit. The output works with JSON, CSV, Excel, XML, and connected platforms for research, monitoring, or data pipelines.
Why use Reddit Comments Scraper?
- Fast comment collection - Collect available comments from a public Reddit post through a dedicated Reddit data provider.
- Rich per-comment metadata - Each record includes author, score, timestamps, depth, parent references, flair, moderation flags, awards, and post context.
- Automation-ready output - Export results to JSON, CSV, Excel, XML, or send them through webhooks, Google Sheets, Make, or Zapier.
- No Reddit credentials required - The Actor uses Arctic Shift, a separate public Reddit data service, without Reddit cookies, login state, or Reddit API credentials.
- Schedule-friendly - Run on demand or set recurring schedules to track discussions over time.
What data can you extract from Reddit?
| Field | Description |
|---|---|
id | Reddit comment ID |
author | Comment author or [deleted] |
body | Comment text or [removed] |
score | Comment score |
depth | Reply depth in the thread |
permalink | Direct URL to the comment |
post_title | Parent post title |
subreddit | Subreddit name |
created_at | ISO timestamp |
stickied | Whether the comment is stickied |
How to use Reddit Comments Scraper
- Open the Actor on Apify Store.
- Paste a public Reddit post URL into the Reddit Post URL field.
- Set the Maximum number of comments (optional, defaults to 20).
- Choose proxy settings (Apify Residential Proxy is the default).
- Click Start and wait for the extraction to complete.
- Download the dataset or connect it to your workflow.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | Yes | - | Full URL of the Reddit thread to collect comments from |
results_wanted | Integer | No | 20 | Maximum number of unique comments to collect; 0 skips comment requests |
skipComments | Boolean | No | false | Skip all comment requests |
sort | String | No | desc | Comment order: desc for newest first or asc for oldest first |
proxyConfiguration | Object | No | Apify Residential Proxy | Proxy settings for reliable collection |
Output Data
| Field | Type | Description |
|---|---|---|
id | String | Reddit comment ID |
comment_fullname | String | Full Reddit thing name |
author | String | Comment author or [deleted] |
author_fullname | String | Reddit fullname for the author |
body | String | Comment text or [removed] |
body_html | String | Comment body in HTML format |
score | Number | Comment score |
ups | Number | Upvote count |
downs | Number | Downvote count |
created_utc | Number | Unix timestamp |
created_at | String | ISO timestamp |
edited | Boolean or Number | Edit status or timestamp |
depth | Number | Reply depth in the thread |
parent_id | String | Parent thing ID |
parent_comment_id | String | Parent comment ID |
parent_type | String | Parent type (t1 for comment, t3 for post) |
link_id | String | Parent post fullname |
permalink | String | Absolute URL to the comment |
subreddit | String | Subreddit name |
subreddit_id | String | Subreddit ID |
subreddit_name_prefixed | String | Prefixed name like r/AskReddit |
subreddit_type | String | Subreddit visibility type |
post_id | String | Parent post ID |
post_title | String | Parent post title |
post_author | String | Parent post author |
post_permalink | String | Parent post URL |
is_submitter | Boolean | Author is the post creator |
distinguished | String | Mod or admin distinction |
stickied | Boolean | Comment is stickied |
locked | Boolean | Comment is locked |
archived | Boolean | Comment is archived |
collapsed | Boolean | Comment is collapsed |
controversiality | Number | Controversiality score |
score_hidden | Boolean | Score visibility |
gilded | Number | Legacy gild count |
total_awards_received | Number | Total awards |
all_awardings_count | Number | Award entry count |
author_premium | Boolean | Premium status |
author_is_blocked | Boolean | Blocked status |
author_flair_text | String | Flair text |
author_flair_type | String | Flair type |
author_flair_text_color | String | Flair text color |
author_flair_background_color | String | Flair background color |
comment_type | String | Comment classification |
treatment_tags | Array | Reddit treatment tags |
retrieval_source | String | Source (arctic_shift) |
source_url | String | Input thread URL |
Usage Examples
Basic Extraction
Collect 20 comments from a single Reddit thread:
{"startUrl": "https://www.reddit.com/r/AskReddit/comments/1pqgcx9/whats_the_most_unexpected_way_someone_you_know/","results_wanted": 20,"sort": "desc"}
Larger Collection
Increase the limit for threads with active discussions:
{"startUrl": "https://www.reddit.com/r/webscraping/comments/1qs66k0/couldnt_find_proxy_directory_with_filters_so/","results_wanted": 200}
With Residential Proxies
Use Apify Residential Proxy for more reliable runs across many threads:
{"startUrl": "https://www.reddit.com/r/AskReddit/comments/1pqgcx9/whats_the_most_unexpected_way_someone_you_know/","results_wanted": 50,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Sample Output
{"id": "nuuw9it","comment_fullname": "t1_nuuw9it","author": "Agua_Frecuentemente","body": "The guy who invented Smartfood lives in my town.","score": 2851,"created_utc": 1766150326,"created_at": "2025-12-19T18:25:26.000Z","depth": 0,"parent_id": "t3_1pqgcx9","permalink": "https://www.reddit.com/r/AskReddit/comments/1pqgcx9/whats_the_most_unexpected_way_someone_you_know/nuuw9it/","subreddit": "AskReddit","subreddit_name_prefixed": "r/AskReddit","post_id": "1pqgcx9","post_title": "What's the most unexpected way someone you know became wealthy?","is_submitter": false,"stickied": false,"locked": false,"archived": false,"retrieval_source": "arctic_shift","source_url": "https://www.reddit.com/r/AskReddit/comments/1pqgcx9/whats_the_most_unexpected_way_someone_you_know/"}
Tips for Best Results
- Use public Reddit thread URLs only. Subreddit feeds, search pages, and private posts are not supported.
- Start with a small
results_wantedvalue to verify the thread loads correctly before scaling up. - Larger threads (500+ comments) may need a higher limit to capture more discussion data.
- Residential proxies help maintain stable runs when collecting from many threads or high-traffic posts.
- Some fields may be empty when the source does not publish that information. Check multiple results before assuming the Actor failed.
Integrations
- Google Sheets - Export comment data to spreadsheets for analysis.
- Webhooks - Send run results to downstream systems after each completion.
- Make or Zapier - Connect results to no-code automations and workflows.
- API - Access datasets programmatically from your own applications.
- Export formats - JSON, CSV, Excel, XML, and other Apify-supported formats.
Frequently Asked Questions
How many comments can I collect from a single thread?
The results_wanted parameter sets the maximum number of comments for the selected post. Use sort: "desc" for newest-first comments or sort: "asc" for oldest-first comments. The Actor paginates through Arctic Shift results until that limit is reached or the provider has no more available comments.
Does this collect nested replies or just top-level comments?
It can include both top-level comments and nested replies when Arctic Shift has them available. The depth field preserves each comment's position in the reply tree, and the parent_id and parent_comment_id fields let you reconstruct the thread structure.
How are duplicate comments handled?
The Actor deduplicates by comment ID and merges additional fields into a single record per ID. This prevents duplicates when Reddit returns the same comment through multiple expansion calls.
What happens when a comment author is deleted or the body is removed?
Deleted authors are replaced with [deleted] and removed bodies with [removed]. All other fields remain intact so your dataset stays usable even when Reddit's moderation removes content.
How long does a typical run take?
Arctic Shift is a separate public data service and may not contain the newest Reddit comments immediately. Run duration depends on the requested limit, provider response, and pagination depth; the source is not guaranteed to be real-time.
Can I scrape private or restricted communities?
No. The Actor is designed for public Reddit threads only. Private communities and quarantined subreddits require authorization that this tool does not support.
Do I need an API key or authentication?
No API key or Reddit account login is required. The Actor works with public Reddit thread URLs directly.
What should I do if some fields are missing in the output?
Some fields may be empty when the source page does not publish that information. Check multiple results before assuming the Actor failed. If you consistently see missing data for fields that should exist, report it through the Issues tab.
Related Actors
- Reddit Community Scraper - Extract posts, listings, and metadata from subreddits and Reddit communities.
- YouTube Comments Scraper - Collect comments, replies, author details, and engagement metrics from YouTube videos.
- Instagram Post Comments Scraper - Extract comments, likes, replies, and user profiles from Instagram posts.
- Hacker News Data Scraper - Collect stories, comments, and job postings from Hacker News categories.
Support
For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.
Legal Notice
This Actor is designed for legitimate data collection from publicly available Reddit threads. Users are responsible for using the data responsibly and complying with applicable laws, Reddit's terms of service, and privacy rules.
