Reddit Search V2

Search Reddit at scale across posts, comments, media, communities, people, and Reddit's interest-topic taxonomy. Three self-contained endpoints. No Reddit account or proxy required.

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

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Endpoints at a glance

#	Endpoint	What it returns	Best for
1	Search	posts / comments / media / communities / people	trend research, brand monitoring, lead gen, audits
2	Community Picker Search	autocomplete-style subreddit list	pickers, dropdowns, "did you mean…"
3	Interest Topics Search	Reddit's official topic taxonomy	recommendations, tag clouds, categorization

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What you can fetch

1. Search — posts, comments, media, communities, people

The main search endpoint. One query, one type, one set of filters.

Inputs

Field	Type	Default	Notes
query	string	(required)	Search string. Required for every type.
type	enum	posts	One of posts, comments, media, communities, people.
sort	enum	relevance	relevance / hot / top / new / comments. See sort matrix below.
time	enum	all	hour / day / week / month / year / all. Posts/comments/media only.
safe_search	bool	false	true hides NSFW results.
subreddit	string	(blank)	Optional. Restrict to one subreddit (without r/). Posts/comments/media only.
limit	int	50	1 – 250.

Sort & filter matrix

Type	Supports sort	Supports time	Supports subreddit
posts	✅ all 5	✅	✅
comments	✅ relevance / top / new only	✅	✅
media	✅ all 5	✅	✅
communities	❌ ignored	❌ ignored	❌ ignored
people	❌ ignored	❌ ignored	❌ ignored

Returns — one record per result, with endpoint and result type tagged on every row:

Type	Headline columns
posts	id, title, body / selftext, author, subreddit, score, comment count, created, permalink, URL, all post flags, flair, media, awards
comments	id, body, author, subreddit, score, parent post info, created, OP flag
media	same as posts, pre-filtered to image / video / gallery
communities	id, name, prefixed name, title, subscribers, public description, NSFW flag, theme
people	id, name, username, karma, profile icon, NSFW flag, accepts-followers flag

Use it when — trend research, brand monitoring across all types, lead generation (people), content audits (comment search inside a subreddit), media discovery.

Examples (real records, abbreviated for readability — the full row contains every field listed above)

Search → posts

Input

{
  "endpoint": "search",
  "search_query": "python programming",
  "search_type": "posts",
  "search_sort": "relevance",
  "search_time": "all",
  "search_safe": "off",
  "search_limit": 50
}

Output (one dataset record)

{
  "endpoint": "search",
  "__typename": "SubredditPost",
  "id": "t3_1sygx15",
  "postTitle": "Python is (mostly) a useless programming to learn",
  "score": 0,
  "commentCount": 65,
  "createdAt": "2026-04-28T22:49:52.017Z",
  "url": "https://www.reddit.com/r/The10thDentist/comments/1sygx15/python_is_mostly_a_useless_programming_to_learn/",
  "domain": "self.The10thDentist",
  "voteState": "NONE",
  "isNsfw": false,
  "isSpoiler": false,
  "isLocked": false,
  "isStickied": false,
  "isArchived": false,
  "content": {
    "markdown": "Python was fun at first, but when you start getting serious and building real world projects, you quickly start to learn the limitations…",
    "preview": "Python was fun at first, but when you start getting serious…"
  },
  "authorInfo": { "name": "BetApprehensive836", "id": "t2_1w3kry2fgb" },
  "subreddit":  { "prefixedName": "r/The10thDentist", "subscribersCount": 359891 },
  "flair":      { "text": "Technology", "textColor": "DARK" },
  "media": null,
  "permalink": "/r/The10thDentist/comments/1sygx15/python_is_mostly_a_useless_programming_to_learn/",
  "upvoteRatio": 0.41,
  "isSelfPost": true,
  "rate_limit_used": 3,
  "rate_limit_remaining": 1797,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

Search → comments

Input

{
  "endpoint": "search",
  "search_query": "best python framework",
  "search_type": "comments",
  "search_sort": "top",
  "search_limit": 50
}

Output (one dataset record)

{
  "endpoint": "search",
  "id": "t1_ohl6uy0",
  "score": 17,
  "createdAt": "2026-04-22T06:52:01.302Z",
  "isOP": false,
  "isScoreHidden": false,
  "content": {
    "markdown": "The more you learn about any language sans libraries, the faster you will be able to pick up all that extra stuff…"
  },
  "authorInfo": { "name": "BrannyBee", "id": "t2_1i8klxuqxj" },
  "parent":     { "id": "t1_ohh59pq", "type": "comment" },
  "postInfo":   { "id": "t3_1rqd9dp", "title": "Best Python framework for beginners?", "subreddit": "r/learnpython" },
  "rate_limit_used": 4,
  "rate_limit_remaining": 1796,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

Search → media

Input

{
  "endpoint": "search",
  "search_query": "sunset photography",
  "search_type": "media",
  "search_sort": "top",
  "search_time": "year",
  "search_limit": 50
}

Output (one dataset record)

{
  "endpoint": "search",
  "__typename": "SubredditPost",
  "id": "t3_1rsrkof",
  "postTitle": "Anyone else obsessed with sunset photography?",
  "score": 70,
  "commentCount": 6,
  "url": "https://i.redd.it/hxqiny8w6uog1.jpeg",
  "domain": "i.redd.it",
  "thumbnail": {
    "url": "https://preview.redd.it/hxqiny8w6uog1.jpeg?width=140&height=93",
    "dimensions": { "width": 140, "height": 93 }
  },
  "media": {
    "still": {
      "source": { "url": "https://preview.redd.it/hxqiny8w6uog1.jpeg?auto=webp", "dimensions": { "width": 2400, "height": 1600 } }
    }
  },
  "authorInfo": { "name": "Odd-Government-6790", "id": "t2_20vb1yg1g5" },
  "flair":      { "text": "approved", "textColor": "DARK" },
  "isSelfPost": false,
  "rate_limit_used": 5,
  "rate_limit_remaining": 1795,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

Search → communities

Input

{
  "endpoint": "search",
  "search_query": "python",
  "search_type": "communities",
  "search_limit": 50
}

Output (one dataset record)

{
  "endpoint": "search",
  "__typename": "Subreddit",
  "id": "t5_2qh0y",
  "name": "Python",
  "prefixedName": "r/Python",
  "subscribersCount": 1478319,
  "publicDescriptionText": "The largest Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language.",
  "isNsfw": false,
  "isQuarantined": false,
  "isSubscribed": false,
  "styles": {
    "icon": "https://styles.redditmedia.com/t5_2qh0y/styles/communityIcon_lctik80p96tg1.png"
  },
  "communityStats": { "weeklyActiveUsersCount": 169035 },
  "rate_limit_used": 6,
  "rate_limit_remaining": 1794,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

Search → people

Input

{
  "endpoint": "search",
  "search_query": "spez",
  "search_type": "people",
  "search_limit": 50
}

Output (one dataset record)

{
  "endpoint": "search",
  "__typename": "Redditor",
  "id": "t2_1w72",
  "name": "spez",
  "prefixedName": "u/spez",
  "karma": { "total": 937988 },
  "isAcceptingFollowers": true,
  "isFollowed": false,
  "icon": {
    "url": "https://styles.redditmedia.com/t5_3k30p/styles/profileIcon_uj015iwx9s7g1.png",
    "dimensions": { "width": 256, "height": 256 }
  },
  "profileInfo": {
    "createdAt": "2005-06-06T04:00:00.000Z",
    "isNsfw": false
  },
  "rate_limit_used": 7,
  "rate_limit_remaining": 1793,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

---

2. Community Picker Search

Real-time-style subreddit search optimized for picker / autocomplete UIs.

Inputs

Field	Type	Default	Notes
query	string	(required)	Search string.
include_nsfw	bool	true	Set false to exclude NSFW subreddits.

Returns per result — subreddit name, prefixed name, title, icon, subscribers, NSFW flag.

Use it when — building a subreddit picker, validating a community exists, "did you mean…" suggestions, dropdown autocomplete, niche directory creation.

Example

Input

{
  "endpoint": "community_picker",
  "community_picker_query": "ask",
  "community_picker_nsfw": true
}

Output (one dataset record)

{
  "endpoint": "community_picker",
  "__typename": "Subreddit",
  "id": "t5_2qh1i",
  "name": "AskReddit",
  "prefixedName": "r/AskReddit",
  "subscribersCount": 58524750,
  "publicDescriptionText": "r/AskReddit is the place to ask and answer thought-provoking questions.",
  "isNsfw": false,
  "isQuarantined": false,
  "styles": {
    "icon": "https://styles.redditmedia.com/t5_2qh1i/styles/communityIcon_p6kb2m6b185b1.png",
    "legacyIcon": {
      "url": "https://b.thumbs.redditmedia.com/LSHrisQApf1H5F8nWShTx3_KjTOMc3R_ss3kx3XAyXQ.png",
      "dimensions": { "width": 256, "height": 256 }
    }
  },
  "type": "PUBLIC",
  "rate_limit_used": 4,
  "rate_limit_remaining": 1796,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

---

3. Interest Topics Search

Search Reddit's official interest-topic taxonomy (the topics Reddit uses for onboarding, recommendations, and feed seeding).

Inputs

Field	Type	Default	Notes
query	string	(required)	Topic search string.

Returns per topic — topic ID, name, display name, title, description.

Use it when — mapping content to Reddit's official taxonomy, recommendation systems, topic-based feeds, content categorization, building topic chips / tag clouds.

Example

Input

{
  "endpoint": "interest_topics",
  "interest_topics_query": "technology"
}

Output (one dataset record — runs typically return 3–10 topics)

{
  "endpoint": "interest_topics",
  "id": "technology",
  "__typename": "InterestTopicNode",
  "topic": {
    "name": "technology",
    "title": "Technology",
    "topicType": "search_user_query_interest_topic",
    "parents": null
  },
  "rate_limit_used": 7,
  "rate_limit_remaining": 1793,
  "rate_limit_reset_at": "2026-05-13T09:10:00Z"
}

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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.

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Output

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

Behavior	Detail
Record granularity	One dataset row per Reddit result.
Endpoint tag	Every record carries an endpoint field so rows from different endpoints are distinguishable.
Type tag (Search)	Every Search row also carries a type field (posts / comments / media / communities / people).
Column order	The most useful columns (title, score, author, subreddit, …) are placed first so the Table view is readable without expanding.
Flattening	Nested Reddit structures are flattened — no deeply-nested blobs in the Table view.
Empty queries	Zero records pushed; the run still finishes SUCCEEDED.

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Status & error reference

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

Status	Apify message	Meaning	What to do
	"Actor succeeded with N results in the dataset"	Run finished. Some or zero results pushed.	Open the dataset to view results.
	"The Actor process failed…"	Validation error or upstream Reddit fault.	Check the run log. You are NOT charged for failed runs.
	"The Actor timed out. You can resurrect it with a longer timeout to continue where you left off."	Run exceeded its timeout. Rare for this actor at default 300 s.	Re-run; consider narrowing query or lowering limit.
	"The Actor process was aborted. You can resurrect it to continue where you left off."	You stopped the run manually.	No charge for unpushed results.

Common in-run conditions (visible in run log)

Condition	Cause	Result
Empty result set	Query matched nothing on Reddit.	Run SUCCEEDED, 0 records, no charge.
NSFW filtered	safe_search=true and matches were NSFW only.	Run SUCCEEDED, fewer/zero records.
Sort fallback to relevance	Asked for hot / comments on comments type.	Run SUCCEEDED, results sorted by relevance.
Sort/time/subreddit ignored	Used those on communities / people.	Run SUCCEEDED, those filters are skipped silently.
Hard cap reached	More than ~250 unique results exist.	Run SUCCEEDED, capped at ~250 records (Reddit limit).
Validation error: query is required	Missing query.	Run FAILED immediately, no charge.
Validation error: limit out of range	limit outside 1 – 250.	Run FAILED immediately, no charge.

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Common edge cases

• NSFW handling — Search has a safe_search toggle (off by default). Community Picker has its own Include NSFW checkbox. Interest Topics doesn't return NSFW content by nature.
• Sort / time filter on Communities & People — silently ignored; Reddit ranks those by relevance only.
• Subreddit scope on Communities & People — silently ignored; those types always run globally.
• Comments sort — only relevance / top / new supported. Other values fall back to relevance.
• Hard cap of ~250 results per query. Reddit's search index returns at most ~250 unique items per call.
• Empty results — zero records, run still SUCCEEDED. No charge.
• Removed / banned content — filtered out by Reddit at search time.

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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. Built for reliability behind the scenes — just paste your inputs and run.

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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.