Reddit Scraper V2

Scrape Reddit at scale — single posts, comment trees, user profiles, subreddit feeds, and detailed comment lookups. 11 self-contained endpoints in one actor. No Reddit account, OAuth, or proxy required.

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

Looking for bulk-by-ID lookups? They live in the companion actor Reddit Bulk Scrape V2 — paste up to 500 IDs/usernames (5000 for comments) per run and get one full record per item.

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Endpoints at a glance

#	Endpoint	Records returned	Best for
1	Post Comments	up to 1500 (or all)	sentiment, debate threads, archives, training data
2	Post by ID	1 record	single-post deep dive
3	Profile (Full)	1 record	full-profile dashboards, lead enrichment
4	Profile (Details)	1 record	moderation tooling, contributor audits
5	Profile Posts	up to 1250	author monitoring, content audits
6	Profile Comments	up to 1250	brand-mention tracking, reputation monitoring
7	User Info	1 record	filling field gaps from Profile (Full)
8	Community Info	1 record	community discovery, audience sizing
9	Community Feed	up to 1250	content scraping, trending posts
10	Get Comment by ID	1 record	quoting, refreshing one comment
11	Linked Comment Info	1 record	comment with parent post + author context

Inputs accept the most-permissive format Reddit uses for each entity:

Entity	Accepted
post	URL · t3_ fullname · raw ID
comment	URL · t1_ fullname · raw ID
user	username · u/name
subreddit	name · r/name · subreddit URL

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What you can fetch

1. Post Comments

Every comment on a single post, with control over how the tree is traversed.

Inputs

Field	Type	Default	Notes
post	string	(required)	URL or post ID.
sort	enum	best	best / confidence / top / new / controversial / old / qa.
mode	enum	custom	custom (capped) / top_level / all (uncapped).
limit	int	100	1 – 1500. Used by custom mode.

Returns per comment — ID, fullname, parent comment / parent post IDs, author, body (markdown + HTML), score, depth, OP flag, all comment flags, subreddit, awards, created + edited timestamps, permalink.

Use it when — sentiment, debate threads, support-ticket mining, comment archives, training data.

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2. Post by ID

Full payload of a single post.

Inputs

Field	Notes
post	URL or post ID.

Returns — title, body, score, comment count, awards, flair, media (images / video / gallery), all post flags, subreddit, author, created timestamp.

Use it when — single-post deep dive, refreshing a stored post, importing one thread into your DB.

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3. Profile (Full)

Full Redditor identity with the richest set of profile fields.

Inputs

Field	Notes
username	Raw or u/name.

Returns — karma split into post / comment / award / awardee, account creation date, snoovatar, banner, social links, accepted-DMs flag, accepted-chats flag, accepted-followers flag, mod info, employee / verified flags, premium status, trophy-case totals.

Use it when — full-profile dashboards, lead enrichment, account-quality scoring, brand-monitor profile cards.

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4. Profile (Details)

Profile-as-subreddit settings (every Reddit profile is also a subreddit u_username).

Inputs

Field	Notes
username	Raw or u/name.

Returns — post permissions, flair settings, mod permissions, contributor / subscriber state, whitelist status, NSFW flag, the user's authorFlair on their own profile.

Use it when — moderation tooling, contributor / whitelist audits, profile-page gating logic.

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5. Profile Posts

The user's submitted posts.

Inputs

Field	Type	Default	Notes
username	string	(required)	Raw or u/name.
sort	enum	new	hot / new / top / controversial.
time	enum	(none)	Used with top / controversial.
limit	int	25	1 – 1250.

Returns per post — same rich post record as Post by ID.

Use it when — author monitoring, content audits, building feeds of a creator's submissions.

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6. Profile Comments

The user's comment history.

Inputs — same controls as Profile Posts (sort / time / limit 1–1250).

Returns per comment — same record as Post Comments.

Use it when — brand-mention tracking, reputation monitoring, conversation mining on a single user.

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7. User Info

Alternate user-info read with a different field set than Profile (Full) — useful for filling gaps.

Inputs

Field	Notes
username	Raw or u/name.

Returns — complementary profile fields.

Use it when — Profile (Full) is missing fields you need; combining both gives the most complete record.

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8. Community Info

Subreddit metadata.

Inputs

Field	Notes
subreddit	Name / r/name / URL.

Returns — subscriber count, public + full description, rules summary, theme (banner, icon, colors), allowed submission types, NSFW flag, type (public / private / restricted), created timestamp.

Use it when — community discovery, sizing audiences, sidebar / theme audits.

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9. Community Feed

A subreddit's post feed with all 6 sort modes.

Inputs

Field	Type	Default	Notes
subreddit	string	(required)	Name / r/name / URL.
sort	enum	hot	best / hot / new / top / rising / controversial.
time	enum	(none)	Used with top / controversial.
limit	int	25	1 – 1250.

Returns per post — same rich post record as Post by ID.

Use it when — content scraping, trending-post tracking, building feeds of a niche community.

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10. Get Comment by ID

Full payload of a single comment.

Inputs

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

Returns — body, score, author, flair, awards, parent post / comment IDs, created timestamp, permalink.

Use it when — quoting a comment, refreshing one stored row, importing a single comment into your DB.

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11. Linked Comment Info

Comment payload plus the parent post and the comment author profile in a single record — handy when you need full conversation context without firing three separate calls.

Inputs

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

Returns — full comment record + parent post (title, subreddit, created, score, flair) + author profile snapshot (karma, account age, flags).

Use it when — building rich comment cards, audit trails, moderation tooling, or any flow that needs the comment alongside its post and author in one row.

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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.
3. Click Start.

Default endpoint is Community Feed on r/python so 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 kind	Rows pushed
Single-record (Post by ID, Profile (Full), Community Info, Get Comment by ID, Linked Comment Info, etc.)	1 record
Feed (Post Comments, Profile Posts / Comments, Community Feed)	up to your limit

Every record carries an endpoint field. Most useful columns (id, title / name, score / karma, created date) are placed first.

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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 with a smaller limit or a less popular thread / feed.
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	Username / post / subreddit doesn't exist or is banned.	Run SUCCEEDED, 0 records, no charge.
Removed post stub	Post was removed; partial metadata returned.	Run SUCCEEDED, includes removed_by_category.
Suspended account	Username is suspended.	Run SUCCEEDED, mostly-null record.

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Common edge cases

• Removed / banned subreddits return zero records.
• Suspended / deleted accounts return minimal data; expect most fields to be null.
• Long Post Comments threads — all mode (uncapped) on huge threads can return tens of thousands of records.
• ID format flexibility — raw IDs, prefixed (t1_, t3_), and full Reddit URLs are all accepted.
• Bulk-by-ID lookups live in the companion actor Reddit Bulk Scrape V2 — use it when you have a list of post / comment / subreddit / user IDs to hydrate in a single call.
• 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: see memory profile below.

Runs in Apify's lowest 128 MB tier — typically peaks around 45 MB (~35% of the allocation).

The actor is a thin async dispatcher: one HTTP call out, one push_data in. Most of the heavy lifting (Reddit auth, proxy rotation, retry, GraphQL persisted-query handling) is done off-actor on our backend, so the actor itself stays small.

Run profile	Peak memory observed
Single post / comment / profile lookup	~45 MB
Linked Comment Info (comment + post + author in one row)	~46 MB
Subreddit feed (up to 1250 posts)	~48 MB

That gives ~64% headroom inside 128 MB. You can leave the Memory field at the default and never think about it. If you want extra margin (e.g. unusually large all-mode comment threads), bumping to 256 MB is supported and costs more compute units per second on Apify's side — most users won't need it.

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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.