Reddit Scraper — Subreddit Feeds, Posts, Comments

Scrape Reddit posts and comments by URL or subreddit name. Four self-contained endpoints — pull a subreddit's feed, a single post's full payload, a post's full comment tree, or a single comment's metadata. No Reddit account, OAuth, or proxy required.

Pick the endpoint, fill the matching section, hit Start.

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Endpoints at a glance

#	Endpoint	Records returned	Best for
1	Scrape Posts	up to 1000 posts (subreddit feed)	niche monitoring, daily snapshots, RSS-style feeds
2	Post Detail	1 record (one post)	refreshing a single post, importing a thread
3	Scrape Comments	up to 5000 (or uncapped)	sentiment, archives, megathread research
4	Comment Detail	1 record (one comment)	quoting, refreshing one comment

Every endpoint accepts URLs, prefixed fullnames, or raw IDs:

Entity	Examples
post	https://www.reddit.com/r/Wordpress/comments/1s4a4j6/ · t3_1s4a4j6 · 1s4a4j6
comment	https://www.reddit.com/r/.../comment/lwbnv0t/ · t1_lwbnv0t · lwbnv0t
subreddit	AskReddit · r/AskReddit · /r/AskReddit · full subreddit URL

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What you can fetch

1. Scrape Posts — subreddit feed

Pulls a subreddit's post feed and streams pages so records appear in the dataset within seconds. Pages are fetched in 100s and stitched together up to your limit.

Inputs

Field	Type	Default	Notes
subreddit	string	AskReddit	Subreddit name (without r/).
sort	enum	hot	best / hot / new / top / rising / controversial.
time	enum	(none)	Only used when sort is top / controversial. hour … all.
limit	int	25	1 – 1000.

Returns per post — Reddit ID, fullname, title, body / selftext, author, subreddit, score, ups / downs / upvote ratio, comment count, crosspost count, created + edited timestamps, permalink, external URL, domain, post-type flags (is_self, is_video, over_18, spoiler, locked, stickied, pinned, archived), distinguished status, removal category, link & author flair, thumbnail, media (images / video / gallery), awards.

Use it when — niche monitoring, daily community snapshots, content syndication (r/programming hot → RSS), bulk research, competitor watching.

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2. Post Detail

Full payload of a single post.

Inputs

Field	Type	Notes
post	string	URL, t3_ fullname, or raw ID.

Returns — same rich post record as Scrape Posts.

Use it when — single-post deep dive, refreshing one record after an edit, importing a single thread.

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3. Scrape Comments — post comment tree

Comments under a single post, with control over how the tree is traversed.

Inputs

Field	Type	Default	Notes
post	string	(required)	URL, t3_, or raw ID.
sort	enum	top	best / top / new / controversial / old / qa.
mode	enum	custom	custom (capped), top_level (top-level only), all (uncapped).
count	int	100	1 – 5000. Used by custom mode.

Returns per comment — ID, fullname, parent post / parent comment IDs, author, body (markdown + HTML), score / ups / downs / controversiality, created + edited timestamps, permalink, OP flag (is_submitter), depth, stickied / distinguished / locked / archived / score-hidden flags, subreddit, awards.

Use it when — sentiment analysis, comment archives, support-ticket mining, debate / megathread research, training data.

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4. Comment Detail

Full payload of a single comment.

Inputs

Field	Type	Notes
comment	string	URL, t1_ fullname, or raw ID.

Returns — same rich comment record as Scrape Comments.

Use it when — pulling a quoted comment, refreshing one record after edits, citation tooling.

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How to run

1. Pick an endpoint in the "What to fetch" dropdown.
2. Open the matching section and fill its fields. Each section is independent — fields outside your chosen section are ignored.
3. Click Start.

Default subreddit is AskReddit and default test post is the public WordPress post — the actor runs out of the box.

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Output

Results are pushed to the actor's default dataset. View as a table or download as JSON / CSV / Excel / XML.

Endpoint	Rows pushed
Scrape Posts	up to limit posts
Post Detail	1 record
Scrape Comments	up to count (or uncapped if mode=all)
Comment Detail	1 record

Every record carries an endpoint field. Most useful columns (id, title, score, created, etc.) are placed first so the Table view is readable without scrolling.

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Status & error reference

Run status (Apify-side, shown on the run page)

Apify UI cue	Status	Apify message	Meaning	What to do
green check	SUCCEEDED	"Actor succeeded with N results in the dataset"	Run finished. Some or zero results pushed.	Open the dataset.
red exclamation	FAILED	"The Actor process failed…"	Validation error or upstream Reddit fault.	Check the run log. You are NOT charged.
red clock	TIMED-OUT	"The Actor timed out…"	Run exceeded its timeout.	Re-run; consider lowering limit or using mode=custom.
red square outline	ABORTED	"The Actor process was aborted…"	You stopped the run manually.	No charge for unpushed results.

Common in-run conditions (visible in run log)

Condition	Cause	Result
Empty result set	Subreddit empty / banned / private.	Run SUCCEEDED, 0 records, no charge.
Subreddit feed cap	Asked for more than ~1000 posts.	Run SUCCEEDED, capped at Reddit's pagination limit.
Removed post stub	Post was removed; metadata still partial.	Run SUCCEEDED, returns stub with removed_by_category.
qa sort fallback	qa sort outside QA-mode subs.	Run SUCCEEDED, falls back to top.
Validation error: post required	Missing post field on Detail / Comments.	Run FAILED immediately, no charge.

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Common edge cases

• Removed / deleted posts return whatever metadata Reddit still exposes — often a stub with removed_by_category.
• Private / quarantined subreddits return zero records.
• Subreddit feed cap — Reddit caps subreddit feed pagination at ~1000 unique posts. Higher limit won't return more.
• Comments all mode is uncapped — long threads (10k+ comments) hit Reddit's tree size limit before our cap.
• Comment qa sort — only meaningful in QA-mode subreddits; falls back to top elsewhere.
• NSFW content — fully supported; the over_18 flag tells you if a post is age-gated.

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Why this actor is fast

• Speed — 1–3 seconds per call, end-to-end. Pure HTTP to Reddit's API. No browser to boot, no Playwright / Selenium / Puppeteer overhead. Competing browser-based scrapers typically take 15–60 seconds per call.
• Reliability — zero browser flakiness. No headless-Chromium crashes. No JS-render timeouts. No captcha pages. No surprise mid-run failures from a browser quirk.
• Footprint — under 100 MB RAM per run. Most browser-based scrapers need 1–4 GB. We're a thin async dispatcher — Reddit auth, proxy rotation, retry, and GraphQL handling all happen off-actor on our backend.

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Pricing

Pay-per-result. You're only charged for records actually pushed to the dataset.

Outcome	Charged?
SUCCEEDED with results	Yes — per record pushed.
SUCCEEDED with zero records	No.
FAILED (validation / upstream)	No.
ABORTED	Only for records already pushed before you stopped.

See the actor's Pricing tab for the current per-result rate.