Reddit Comments Scraper
Pricing
from $2.00 / 1,000 comment scrapeds
Scrape Reddit comment threads from post URLs. Returns comment text, author, score, parent and reply relationships, timestamps, and post metadata. JSON for MCP/API workflows.
Pricing
from $2.00 / 1,000 comment scrapeds
Rating
0.0
(0)
Developer
Khadin Akbar
Maintained by CommunityActor stats
0
Bookmarked
9
Total users
5
Monthly active users
4 days ago
Last modified
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List of Reddit inputs to scrape comments from. Each item is auto-detected as one of: a thread/post URL (e.g. 'https://www.reddit.com/r/technology/comments/abc123/title/'), a subreddit ('r/technology' or just 'technology'), a user profile ('u/spez' or a full /user/ URL), or a free-text keyword to search ('best mechanical keyboard'). Mixing types in one run is fine. This is NOT for post bodies only — the output unit is always a comment; for post-level subreddit analytics use the reddit-posts-comments-scraper actor.
[ "https://www.reddit.com/r/technology/comments/1abcd2e/some_thread/", "u/spez", "r/MachineLearning", "ChatGPT alternatives"]How to interpret each item in 'queries'. Leave as 'auto' (default) to detect thread/subreddit/user/keyword per item from its shape. Force a single mode only when auto-detection mis-reads your inputs (e.g. force 'search' to treat a one-word input as a keyword instead of a subreddit). Does NOT change the output shape, only how inputs are routed.
Maximum number of comments to return across all inputs in this run. The actor stops and billing stops once this cap is reached (you are charged per comment returned). Defaults to 200. Raise it for full-thread or full-subreddit pulls; one viral thread can hold tens of thousands of comments.
Order in which Reddit returns comments within a thread: 'top' (highest score first, default), 'best' (Reddit confidence ranking), 'new', 'controversial', 'old', or 'qa'. For subreddit and user inputs Reddit always returns newest-first regardless of this value. Affects which comments you get first when 'maxComments' is smaller than the full thread.
When true (default), the actor walks the full reply tree and expands collapsed 'load more comments' / 'continue this thread' stubs to capture deep replies, not just top-level comments. When false, only comments visible in the first response are returned (faster, cheaper, shallower). Only affects thread and keyword-search inputs; subreddit and user feeds are flat by nature.
How many reply levels deep to traverse in a thread, where 0 is a top-level comment, 1 is a direct reply, and so on. Defaults to 10. Lower it to cap cost on deeply nested threads; raise it to capture very long back-and-forth chains. Ignored when 'includeReplies' is false or for flat subreddit/user feeds.
'concise' (default) returns the core comment fields, kept compact for LLM/agent consumption. 'detailed' adds body HTML, author flair, controversiality, gildings, and stickied/distinguished flags. Use 'concise' for sentiment/NLP pipelines and AI agents; use 'detailed' for forensic or moderation analysis. Does not change the number of comments billed.
Only relevant for keyword inputs. When true, the actor returns only comments whose text contains your keyword, instead of every comment on the matched threads. When false (default), it returns all comments on threads that matched your keyword. Has no effect on thread, subreddit, or user inputs.
Proxy settings. Defaults to Apify Residential proxies, which are required because Reddit blocks datacenter IPs and rate-limits per IP. Leave as default unless you have a specific reason to override. Datacenter proxies will be blocked by Reddit.
{ "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ]}Optional. Your own Reddit app client ID. Leave blank to use the actor owner-managed Reddit access (recommended; end users and AI agents need nothing). To self-supply, create a free app of type "web app" at https://www.reddit.com/prefs/apps. This is the app ID shown under the app name, NOT your Reddit username.