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Reddit Subreddits Search API

Scrape Reddit Subreddits Search data with one API call. Finds communities by topic. Every other Reddit endpoint on this API needs you to already know the subreddit you want; this is the one that answers which communities discuss a subject. Returns up to 25 communities with the name, the subscriber count, the description, the icon, the NSFW flag and the community URL. `author.id` is the bare community name in Reddit's own casing, which is exactly what `/v1/reddit/subreddit`, `/v1/reddit/subreddit/details` and `/v1/reddit/subreddit/search` take as their `subreddit` parameter, so a discovery call feeds a listing call with no re-mapping in between. The row is the same Author shape `/v1/reddit/subreddit/details` returns. The search surface publishes nothing else, so on a plain call `author.joined_at`, `author.ext.weekly_active_users`, `author.ext.weekly_contributions`, `author.ext.rules_text` and `author.ext.language` are null on every row. Send `include=details` and every row is joined, in the same call, to the details lookup that carries them: the community's creation date, weekly active users, weekly contributions and rules land on each row (rules stay null for a community that publishes none), and the language on most rows (it comes from a second source that can miss a row on a busy page, so treat it as usually present). When the details lookup's main source cannot answer a row, its second source still fills the creation date and the language and that row is billed as filled, but the weekly numbers and the rules stay null on it; `data.hydration` counts it among the filled rows. Cost: 1 credit for the page plus 1 credit per row filled from a fresh lookup (25 rows, so 26 at most); rows already in cache are filled for free, rows that could not be filled are refunded, and a repeat of the same call within the cache window is 0. Time: a plain call is about 1 second; `include=details` adds 3 to 9 seconds on a fresh page (the lookups run in parallel and the call waits for the slowest, never more than 12 seconds) and nothing when the rows are already cached. `limit=N` (1 to 25) takes the top N communities of the page and, with `include`, caps the extra credits at N. The response carries a `hydration` block itemising rows, lookups, cache hits, credits and milliseconds. The subscriber count on a search row is the search index's own figure; the join never overwrites a value the row already carries. Note the name: this is `subreddits/search` and it finds COMMUNITIES, where the singular `subreddit/search` searches posts INSIDE one community. Paginate with `cursor`. A query that matches nothing still returns communities rather than an empty list, which is Reddit's own search behaviour, so judge relevance on the rows.

Last updated October 2026Maintained by the SocialCrawl team

Returns up to 25 communities matching a topic, each with the name at author.id, subscriber count, description and icon. include=details adds the creation date, weekly activity, rules and language.

Use it to find which communities discuss a subject. Send include=details instead of one subreddit/details call per community, at 1 credit plus 1 per row filled, 26 at most.

Searching 69 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Reddit API

What can you do with the Subreddits Search API?

The Subreddits Search endpoint gives you structured Reddit data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/reddit/subreddits/search?query=machine+learning"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/reddit/subreddits/search",
    params={
    'query': 'machine learning',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/reddit/subreddits/search?query=machine+learning",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
queryYesTopic or keyword to find communities for.
cursorNoCursor to get more results. Get 'cursor' from the previous response.
includeNoSet to `details` (one token only) to fill `author.joined_at`, `author.ext.weekly_active_users`, `author.ext.weekly_contributions`, `author.ext.rules_text` and `author.ext.language` on every row in this one call (a row the details lookup's main source cannot answer gets only the creation date and the language, and is still billed). Holds 1 credit per row (at most 25, or `limit`) and keeps only the rows filled from a fresh lookup; rows already in cache and rows that could not be filled are refunded, so the most a call can cost is 1 + rows. Adds 3 to 9 seconds on a fresh page (never more than 12) and nothing when the rows are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. (details)
limitNoTake the top N communities of the page (1 to 25). With `include=details` it also caps the extra credits at N, so `limit=5&include=details` holds 6 credits, not 26. It is not a page size: the cursor still advances past the whole page, so rows beyond N are not returned by the next page.
Example Response

What does the Reddit Subreddits Search 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/subreddits/search",
  "data": {
    "items": [
      {
        "author": {
          "id": "user_0b2f67",
          "username": "user_0b2f67",
          "display_name": "user_0b2f67",
          "avatar_url": "https://example.com/avatars/user_37b18d.png",
          "bio": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
          "verified": null,
          "followers": 3075004,
          "following": null,
          "posts_count": null,
          "likes_count": null,
          "url": "https://example.com/user_05e113",
          "private": null,
          "joined_at": null,
          "ext": {
            "is_nsfw": false,
            "weekly_active_users": null,
            "weekly_contributions": null,
            "rules_text": null,
            "language": null
          }
        }
      },
      {
        "author": {
          "id": "user_21b48e",
          "username": "user_21b48e",
          "display_name": "user_21b48e",
          "avatar_url": null,
          "bio": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
          "verified": null,
          "followers": 682525,
          "following": null,
          "posts_count": null,
          "likes_count": null,
          "url": "https://example.com/user_5311fd",
          "private": null,
          "joined_at": null,
          "ext": {
            "is_nsfw": false,
            "weekly_active_users": null,
            "weekly_contributions": null,
            "rules_text": null,
            "language": null
          }
        }
      }
    ],
    "next_cursor": "sc1.eyJjIjoiTWpRPSIsInMiOltdfQ",
    "total": null,
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoic2MxLmV5SmpJam9pVFdwUlBTSXNJbk1pT2x0ZGZRIiwiZSI6InJlZGRpdC9zdWJyZWRkaXRzL3NlYXJjaCIsInAiOiJjdXJzb3IifQ",
    "has_more": true,
    "page_size": 2
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T07:33:19.717Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Reddit Subreddits Search 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

Why SocialCrawl

Why use SocialCrawl for Reddit Subreddits Search data?

We handle the complexity of Reddit data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.

One schema, every platform

Query 69 platforms with identical response structures. Write your integration once.

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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I find subreddits about a topic?
Send a GET request to /v1/reddit/subreddits/search with a query. Each row carries the community name at author.id, the subscriber count, description, icon and NSFW flag, up to 25 communities per page.
How do I get weekly active users for each community?
Add include=details to the same call. Every community on the page is joined to the subreddit details lookup, so the creation date, weekly active users, weekly contributions, rules and language land on each row.
How much does the Subreddit Search API cost?
A plain search costs 1 credit on the standard tier. With include=details you pay the page price plus one credit per community filled from a fresh lookup, so at most 26 credits; communities already in cache are free and ones that could not be filled are refunded.
Can I cap how many communities are returned?
Yes. limit takes the top N communities of the page, 1 to 25, and with include=details it caps the extra credits at N as well, so asking for five holds five extra credits rather than the whole ceiling.
Can I feed the results into the other Reddit endpoints?
Yes. author.id is the bare community name in Reddit's own casing, which is exactly the subreddit parameter that /v1/reddit/subreddit, /v1/reddit/subreddit/details and /v1/reddit/subreddit/search take.

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