Post › Comments
Returns the full comment tree for a post, each comment with author, body, score, direct-reply count, nesting depth, timestamp, and its nested replies.
Use it when you want the whole discussion rather than only top-level comments. Read data.truncated: true means the thread is incomplete, so keep paging while a cursor comes back.
Metered: 100–180 credits. We reserve the ceiling when the call starts and charge what it actually used when it finishes.
Re-running the exact same call within 6h is free.
Paginates by cursor — see Pagination.
Authorization
apiKey Your key from the dashboard. It starts with isk_.
In: header
Query Parameters
Full URL of the Reddit post to fetch comments for
Cursor to get more comments, or replies.
Accepted, but not honoured on this endpoint: the source that serves it does not offer a trimmed shape, so the response is the same either way. Kept because removing an accepted parameter would break existing calls.
Optional CSV of labels to add to every comment: sentiment, spam, question, purchase_intent, complaint, toxic, low_quality, injection. Without this param every page already carries sentiment, question, purchase_intent and complaint, free; label= adds the labels you name to them (the defaults keep running). Each comment gains computed.labels with probabilities (0 to 1), so you choose the cut-off; a comment that could not be judged carries labels: null. injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. judgments=off (or label=none) turns the default labels off. data.labels reports what was judged and billed.
Optional CSV (spam, low_quality), only with the same preset in label. Drops comments whose probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A comment that could not be judged is never dropped.
Optional, on (the default) or off. By default every row gains free 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.
Value in
- "on"
- "off"
Optional. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged.
Value in
- "1"
Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence. = { 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.
Value in
- "1"
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. Without this param the page is unchanged.
Value in
- "goal"
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.
Response Body
application/json
application/json
application/json
application/json
application/json
application/json
application/json
application/json
application/json
curl -X GET "https://example.com/v1/reddit/post/comments?url=string"{ "success": true, "platform": "instagram", "endpoint": "/v1/instagram/profile/posts", "data": { "items": [ "…" ], "dropped": 0 }, "pagination": { "next_cursor": "is2.eyJwIjoyfQ", "has_more": true, "page_size": 12 }, "credits_used": 20, "credits_remaining": 9980, "request_id": "req_1a2b3c4d5e6f", "cached": false, "idempotent_replay": false, "charge_reason": "miss", "free_call": false}Omni Search GET
Returns threads from across Reddit for one keyword with their top comments inline at top_comments, plus a roll-up of which subreddits are talking, their weekly active users and tone. Use it for a customer-listening sweep in one call rather than running search then post/comments per thread; it is slow and relevance is loose. **Metered: 100–180 credits.** We reserve the ceiling when the call starts and charge what it actually used when it finishes. Re-running the exact same call within 1h is free. Paginates by `cursor` — see [Pagination](/docs/pagination).
Post › Transcript GET
Returns the transcript of a Reddit video post, both the raw caption file and a plain-text version, when Reddit publishes captions for it. Use it for video posts; when Reddit exposes no captions the transcript comes back empty and flagged rather than as an error. **200 credits** per call. Re-running the exact same call within 6h is free.