Search Reddit posts
Searches Reddit for posts matching a keyword query. Returns a list of matching posts with titles, scores, comment counts, subreddit names, and permalinks. One result page is assembled from more than one index, so a few leaves are reported for only part of a page and are null on the rest: post.flags.spoiler, post.engagement.shares and post.engagement.saves. A null there means the index that returned that row does not report the field, never that the value is false or zero — treat those three as opportunistic and do not aggregate over them. The post body is at ext.selftext (content.text is the title and body joined, matching /v1/reddit/post); this surface sends it on self-posts without any extra flag. A page holds up to 25 posts and the exact count varies between calls, so do not assume a fixed page size: pages of about 7 are common and a sparse query can return fewer. Rows beyond the first few, and the newest rows on a sort=new page, may carry fewer fields than the rest: flags.spoiler in particular is present on some rows and null on others within one response. Where a row carries them you also get the author's avatar at author.avatar_url, images or video at content.media_urls, and the upvote ratio, post flair and Reddit's own content language at ext.upvote_ratio, ext.flair and ext.content_language. include_body=true is still accepted and rarely needed now: bodies arrive on the rows themselves, so on most pages the flag finds nothing to fetch and its extra credits are refunded in full. It still hydrates a row that does arrive without a body, at 1 extra credit per row hydrated, up to 25 per page. Link posts have no body, so ext.selftext is null. Ranking is a voice-of-customer sweep rather than precision retrieval: expect some off-topic matches on short or ambiguous queries, and use quoted phrases to tighten them.
Request
- Base URL: https://www.socialcrawl.dev/v1
- URL: https://www.socialcrawl.dev/v1/reddit/search
- Auth: API key in header x-api-key
Query parameters
Search words or a phrase. Words match any, not all: vision pro also returns posts that mention only one of them. Wrap a phrase in double quotes to match it exactly (query="vision pro"). Reddit operators such as subreddit:name work too. When fewer than half the rows contain every word of an unquoted query, the response says so in _warnings.
Sort by
Only return posts from this window. Applied on sort=relevance, sort=top and sort=comment_count. It has no effect with sort=new, which is already ordered newest-first and returns recent posts regardless.
Used to paginate to next page Native upstream cursor param. Send the universal cursor instead: the API maps it to this name for you.
Set to true for a trimmed down version of the response. On this endpoint it also skips the second source that widens the page, so a trimmed page is both thinner and usually shorter. Measured 09/09/2026: default 29 rows, trim=true 25 rows. It does not drop author.avatar_url or ext.* — those leaves stay when the first source already carried them. Use it to skip the widening pass, not to strip fields.
Set to true to include each post's body (selftext) on the search page. Rarely needed now: bodies arrive on the rows themselves. 1 extra credit per row that actually comes back with a body, unused credits refunded. Link posts have no body, so they are looked up and not charged for.
Optional. Without this param every row already carries computed.relevance against your query, free ({ p, sense, depth, spam }: is this row about what your query means, or a different thing that shares its words?), and nothing is dropped or reordered. score asks for it explicitly and waits for every row; filter also drops the rows that are not about your query, and lists their ids in data.relevance.dropped_ids. Your query is the topic; nothing to configure. A row that could not be judged is never dropped and carries relevance: null. Pagination is unchanged, so a filtered page can hold fewer rows. Free with your query as the topic; with relevant_to it adds 1 credit per started 25 newly judged rows (rows already judged for the same topic are free, and so is a cached page).
Optional, only with relevance. The probability (0 to 1) a row must reach to be kept by relevance=filter. Default 0.5. Lower keeps more rows, higher keeps fewer.
Optional, only with relevance. Up to 200 characters describing what you mean, used as the topic instead of the query. Use it when the query is ambiguous, for example query=cleopatra with relevant_to=Cleopatra, the IGT slot game.
Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same.
Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged.
Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged.
Required by fit=goal. What you are trying to do, in your own words, up to 300 characters.
Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it.
Optional CSV of SocialCrawl labels to add to every post. Without this param every page already carries sponsored, intent and niche, free; label= adds the labels you name to them (the defaults keep running). sponsored, intent and niche are free when asked for too; mention, quality, intent with offer=, and injection add 1 credit per started 25 newly judged posts. judgments=off (or label=none) turns the default labels off. sponsored: is the post a paid or gifted promotion (p, 0 to 1), did it carry a disclosure marker such as #ad or 광고 (disclosed), is it likely paid with no marker (undisclosed), and which of the accounts it mentions does it promote (brand, or null). These are signals to review, never a finding. mention (needs brand=): is the post about that brand rather than something that shares its name (about_brand, 0 to 1), how it feels about the brand on five levels (sentiment_level 0 to 4 and sentiment_score 0 to 1, null when the post is not about the brand), is it sarcastic, which aspect it talks about (taste_or_quality, price_or_value, availability_or_delivery, health_or_safety, advertising_or_campaign, customer_service, none), and did the author buy or use it (first_hand). intent: what the author is mainly doing (label: asking_for_recommendation, comparing_options, switching_away, complaining, promoting, news_or_discussion, other, or null when unsure, with confidence), whether they read as a potential buyer rather than a seller (buyer, seller), how pressing the need is (urgency, 0 to 3), and, when you pass offer=, whether your offer would plausibly help them (fits_offer). niche: which of the 33 niches of the published taxonomy sc-niche-v1 the caption belongs to, or personal_no_niche, or other (label, confidence, taxonomy), with label null when the caption is too thin to tell or the pick is unsure. It reads the caption only, not the video. quality: how much checkable detail the caption carries (fact_density 0 to 3), whether it mainly asks for likes, replies, shares, follows or tags (engagement_bait, 0 to 1), whether it is written to provoke anger as a way to get engagement (rage_bait, 0 to 1; about the writing, never the side taken), whether it only repeats someone else's news or view (secondhand, 0 to 1), and what the post is mainly doing (post_aim: inform, opinion, sell, entertain, provoke, other). exclude=engagement_bait drops posts whose engagement_bait is 0.8 or higher. injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. A post that could not be judged carries labels: null. Posts already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed.
Optional CSV (engagement_bait), only with label=quality. Drops posts whose engagement_bait probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A post that could not be judged is never dropped.
Required by label=mention, ignored otherwise. The brand or product the posts are judged against, up to 300 characters, for example brand=Buldak. Without it label=mention is skipped with the warning label_mention_needs_brand and is not billed.
Optional, with label=mention. One plain sentence saying what the brand is, for example brand_description=Samyang's spicy instant noodle brand. Use it when the name is also an ordinary word or another company's name.
Optional, with label=intent. One or two plain sentences saying what you sell, up to 300 characters, for example offer=A web design agency that builds websites for small businesses. Adds fits_offer to every post; without it fits_offer is null.
Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it.
Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off the page, and the page that reaches one ends the walk: next_cursor is not returned and pagination.stopped_at is since. Sending it sets the newest-first sort shown in this endpoint's sort parameter (any other sort value is a free 400). The page still costs what a page costs, so you pay for the pages you walk and no more. A row with no date is kept. published_after, start_date, from_date, publish_time (yesterday, this-week, this-month, last-3-months, last-6-months) and max_age_days are accepted and applied as since.
Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. published_before, end_date and to_date are accepted and applied as until.
Keep only rows published within this many days (post.published_at), 1 to 3650. A row with no date is discarded. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; data.walk.discarded counts what was removed and why.
1 to 5 (default 1). Walk up to this many pages in one call and return the rows from all of them (after any filter). Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit. The walk stops early at the last page, or when the request's time budget runs low; data.walk.stopped says why (end, max_pages, time_budget, page_error) and data.next_cursor continues from where it stopped.
An id you choose (1 to 64 letters, digits, ., _ or -). Rows your account already received under the same seen id are removed from the page, and the page price falls with the share of repeats: page credits x new rows / rows on the page, rounded up, so a page of nothing but repeats is free. Only the page's own price is discounted: credits for joined data (include=) are charged only for rows you have not received, and are never discounted. The memory lasts 24 hours from the last call that used the id, holds row ids only, and is private to your account. Use one id across a set of related searches; data.walk.repeats counts what was removed.
Universal pagination cursor. Send pagination.next_cursor from the previous response back verbatim: the API maps it to this endpoint's native after (cursor style). You never construct, decode, or look up a cursor. Omit it for page 1.
Headers
Send no-cache to bypass the response cache and force a live fetch. Billed at the normal endpoint cost; the fresh result is written back to cache for the next caller. Only the no-cache directive triggers this. See the Response Schema guide for details.
Optional UUID that makes the request safely retriable. The key is reserved atomically per account before billing. A concurrent retry receives 409 IDEMPOTENCY_IN_PROGRESS with a Retry-After of 1 second while the original is young, growing to a quarter of the time it has been running (at most 30); a crashed reservation expires after 5 minutes. A replay keeps the cached payload immutable except for billing metadata: credits_used becomes 0, idempotent_replay becomes true, and credits_remaining is refreshed to the current balance. A known current balance appears in both the body and X-Credits-Remaining header; no balance row resolves to 0. On a transient lookup failure, body credits_remaining is null and X-Credits-Remaining is omitted. Completed outcomes expire after 24 hours. If the claim store is unavailable, the request fails closed before billing. GET endpoints do not combine idempotent replay with Server-Sent Events: use Accept: application/json when sending this header. The unsupported key-plus-SSE combination is rejected before billing.
Response
Successful response
Example response
{
"success": true,
"platform": "reddit",
"endpoint": "/v1/reddit/search",
"credits_used": 1,
"credits_remaining": 4999,
"request_id": "req-abc123",
"idempotent_replay": true,
"meta": {
"hint": {
"code": "search_multi",
"message": "You searched \"matcha\" on 3 platforms one call at a time; /v1/search/multi returns each platform's own search rows in one call at the same price per platform, and a platform with no rows is not charged.",
"method": "GET",
"path": "/v1/search/multi?query=matcha&platforms=instagram,tiktok,youtube"
}
},
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoiMiIsInAiOiJwYWdlIn0",
"has_more": true,
"page_size": 30,
"stopped_at": "known_id"
}
}Changes
No recorded changes to this operation across all 1 revision of this API.