Reddit Subreddit API
Returns posts from a subreddit, each with title, body, score, comment count, author, permalink, and creation timestamp.
GET /v1/reddit/subredditLast updated November 2026Maintained by the SocialCrawl team
When to use the Reddit Subreddit API
Use it to read a community's feed, noting timeframe works only with sort=top, which is auto-selected when you omit sort; subreddit/search filters that same community by keyword.
From the API reference
Returns a list of posts from a subreddit. Each post includes the title, the post body at ext.selftext, score, comment count, author, permalink, and creation timestamp. Most rows also carry the author's avatar at author.avatar_url, the post's attached media or link target 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. ext.upvote_ratio and ext.flair come from the same source as the posts, so they are there whenever Reddit reports them. author.avatar_url and ext.content_language come from a second source that runs alongside the main one on PAGE ONE ONLY, so a walk past the first page returns the same posts in the same order without those two, and on a small share of first pages they are null across the whole page while every other field is unchanged. Treat those two as present-usually rather than guaranteed, and never as a signal about the post itself. content.media_urls on this surface is whatever the post points at, so on a link post it is the article or site the post links to rather than an image or a video. Page size varies with the subreddit and the sort and is not fixed: a busy community returns roughly 15 to 25 posts on the default sort. On sort=top, a SHORT window (day) is a full page and a LONG window (year) is the sparse one — measured 09/09/2026 on r/HouseOfTheDragon: all 22, day 22, week 19, month 10, year 3. Paginate with after rather than assuming a count. Ranking and row set are Reddit's own listing, unchanged by the enrichment.
Searching 69 platforms in parallel
What can you do with the Subreddit API?
The Subreddit endpoint gives you structured Reddit data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/reddit/subreddit: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 14: this endpoint's measured p99 latency x 1.5.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 14 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/reddit/subreddit?subreddit=technology&label=sponsored&trim=true" && cat response.json# GET /v1/reddit/subreddit: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 14 # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/reddit/subreddit"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"subreddit": "technology",
"label": "sponsored",
"trim": "true",
}
# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10 # each page is one call
items = []
for _ in range(MAX_PAGES):
body = socialcrawl(params)
if body is None:
break
items.extend(body["data"]["items"])
page = body.get("pagination") or {}
if not page.get("has_more") or not page.get("next_cursor"):
break
params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")// GET /v1/reddit/subreddit: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 14_000; // this endpoint's measured p99 latency x 1.5.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/reddit/subreddit");
url.searchParams.set("subreddit", "technology");
url.searchParams.set("label", "sponsored");
url.searchParams.set("trim", "true");
// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
const body = await socialcrawl(url);
if (!body) break;
items.push(...body.data.items);
const next = body.pagination?.next_cursor;
if (!body.pagination?.has_more || !next) break;
url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);Parameters worth sending
label=sponsoredMarks each post that is paid or sponsored, at no extra credits; intent and niche are free too.trim=trueSame price, lighter payload: drops the bulky raw fields.
Parameters
| Parameter | Required | Description |
|---|---|---|
| subreddit | Yes | Subreddit name without the r/ prefix |
| timeframe | No | Timeframe to get posts from. Applied with sort=top (auto-selected when you omit sort). (all | day | week | month | year) |
| sort | No | Sort order (best | hot | new | top | rising) |
| after | No | After to get more posts. Get 'after' from previous response. |
| trim | No | Set to true for a trimmed down version of the response. This also skips the enrichment pass, so `author.avatar_url`, `content.media_urls`, `flags.spoiler`, `post.url` and the `ext.*` fields are omitted along with the rest of the trimmed leaves. |
| label | No | 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, ai_style, 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. ai_style: writing patterns common in AI-generated text, judged on the text alone. It does not say who wrote the post, and a person who writes in this style is flagged too. Six patterns are judged, each a probability (0 to 1): binary_contrast ("This is not X. It's Y."), faux_insight ("Here's what nobody tells you" and throat-clearing openers), colon_reveal ("The best part: it learns."), profound_kicker (ends on an aphorism or mic-drop line), puffery ("marks a pivotal moment", "highlighting the importance of") and rhetorical_setup ("What if I told you", a question the post answers itself, "Not a X. Not a Y. A Z."). Four are counted in the text: slop_words (words and phrases such as delve, leverage, robust, game changer, at the end of the day), em_dashes, emoji_bullets (lines that start with an emoji or a symbol bullet) and one_line_paragraphs (paragraphs that are one short line). pattern_count is how many patterns are present (a judged pattern at 0.8 or higher, slop_words 1 or more, em_dashes 2 or more, emoji_bullets 2 or more, one_line_paragraphs 5 or more) and markers lists their names, comma-separated. A post with less than about eight words of text is only counted, with every judged pattern 0. The judged patterns read the first 400 and the last 150 characters of a long post, and the counts read the whole post. exclude=ai_style drops posts with 2 or more patterns. ai_written: how likely the post was written by an AI model, from SocialCrawl's own text classifier, reading the opening of the post (about 1,000 characters): p (0 to 1, calibrated), level (likely (p 0.95 or higher), possible (p 0.71 or higher) or unlikely) and model (the model name; a new name means a new scale). A post under 8 words is too short to read: p null, level too_short. It is a probability, not proof: a person can be flagged and an AI-written post can pass, and the shorter the post the less certain it is. exclude=ai_written drops likely posts. 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. |
| exclude | No | Optional CSV (engagement_bait, ai_style, ai_written). engagement_bait, only with label=quality, drops posts whose engagement_bait probability is 0.8 or higher. ai_style, only with label=ai_style, drops posts that show 2 or more of its writing patterns (pattern_count 2 or higher). ai_written, only with label=ai_written, drops posts whose level is likely (p 0.95 or higher), or whose p reaches your ai_written_threshold; a post too short to read is never dropped. Dropped posts are listed in data.labels.dropped_ids. A post that could not be judged is never dropped. |
| ai_written_threshold | No | Optional, only with label=ai_written and exclude=ai_written. The p (0 to 1) at which exclude=ai_written drops a post. Default 0.95 (level likely). 0.71 also drops possible posts: more AI posts go, and more posts by people with them. |
| brand | No | 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. |
| brand_description | No | 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. |
| offer | No | 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. |
| judgments | No | 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. (on | off) |
| dry_run | No | 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. (1) |
| label_evidence | No | 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. (1) |
| fit | No | 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. (goal) |
| goal | No | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. |
| fit_tokens | No | 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. |
| since | No | 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`. |
| until | No | 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`. |
| max_pages | No | 1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. 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`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped. |
| max_items | No | 1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue. |
| max_credits | No | 1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price. |
What does the Reddit Subreddit API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "reddit",
"endpoint": "/v1/reddit/subreddit",
"data": {
"items": [
{
"post": {
"id": "1wv1j68",
"url": "https://www.reddit.com/r/technology/comments/1wv1j68/nyc_is_now_the_first_city_in_america_that_bans/",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": "https://www.theverge.com/policy/1003426/nyc-click-to-cancel-subscriptions-rule",
"thumbnail_url": "https://external-preview.redd.it/5UgP2gtco5HmO0uATfi1lCcdDsn8dA3p6mGzdJ0y7WY.jpeg?auto=webp&s=05c3271c6d2db98f375d857122188a6f6d644103",
"duration_seconds": null
},
"author": {
"username": "user_6c31c8",
"display_name": "user_042bf4",
"avatar_url": "https://example.com/avatars/user_316731.png",
"verified": null
},
"engagement": {
"views": null,
"likes": 20137,
"comments": 408,
"shares": null,
"saves": null
},
"flags": {
"nsfw": false,
"spoiler": false,
"pinned": null,
"deleted": false
},
"published_at": "2026-10-01T14:53:16.000Z",
"ext": {
"subreddit": "technology",
"title": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"selftext": null,
"upvote_ratio": 0.9790215203591888,
"flair": "Business",
"content_language": "en",
"published_at_epoch": 1790866396
}
},
"computed": {
"engagement_rate": null,
"language": "en",
"content_category": "other",
"estimated_reach": null,
"labels": {
"sponsored": {
"p": 0.01,
"disclosed": false,
"undisclosed": false,
"brand": null
},
"intent": {
"label": "news_or_discussion",
"confidence": 1,
"buyer": false,
"seller": 0.03,
"fits_offer": null,
"urgency": 0.08
},
"niche": {
"label": "news_politics",
"confidence": 0.94,
"taxonomy": "sc-niche-v1"
}
}
}
},
{
"post": {
"id": "1wvdokm",
"url": "https://www.reddit.com/r/technology/comments/1wvdokm/usps_is_turning_mail_trucks_into_rolling/",
"content": {
"text": "Sample comment text (redacted).",
"media_urls": "https://www.gadgetreview.com/usps-is-turning-mail-trucks-into-rolling-surveillance-cameras",
"thumbnail_url": "https://external-preview.redd.it/uUkVrnXbdIhZ2hJQmADeeA-BGI0w75pMnPAlMWYvVjQ.jpeg?auto=webp&s=c6409322501a707a86c4074105493e80a9ed2ced",
"duration_seconds": null
},
"author": {
"username": "user_fc0282",
"display_name": "user_4db8b5",
"avatar_url": "https://example.com/avatars/user_bef523.png",
"verified": null
},
"engagement": {
"views": null,
"likes": 2689,
"comments": 116,
"shares": null,
"saves": null
},
"flags": {
"nsfw": false,
"spoiler": false,
"pinned": null,
"deleted": false
},
"published_at": "2026-10-01T22:48:56.000Z",
"ext": {
"subreddit": "technology",
"title": "Sample comment text (redacted).",
"selftext": null,
"upvote_ratio": 0.9731951393852752,
"flair": "Privacy",
"content_language": "en",
"published_at_epoch": 1790894936
}
},
"computed": {
"engagement_rate": null,
"language": "en",
"content_category": "other",
"estimated_reach": null,
"labels": {
"sponsored": {
"p": 0.02,
"disclosed": false,
"undisclosed": false,
"brand": null
},
"intent": {
"label": "news_or_discussion",
"confidence": 1,
"buyer": false,
"seller": 0.04,
"fits_offer": null,
"urgency": 0.24
},
"niche": {
"label": "news_politics",
"confidence": 0.72,
"taxonomy": "sc-niche-v1"
}
}
}
}
],
"next_cursor": "t3_1wv1lx4",
"total": null,
"labels": {
"presets": [
"sponsored",
"intent"
],
"rows": 15,
"labelled": 13,
"cached": 13,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "partial",
"pending": 2,
"pending_ids": [
"1wvh7tk",
"1wvhnn3"
]
},
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoidDNfMXd2MWx4NCIsImUiOiJyZWRkaXQvc3VicmVkZGl0IiwicCI6ImFmdGVyIn0",
"has_more": true,
"page_size": 15
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:26:00.602Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Reddit Subreddit API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
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Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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