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Reddit Search Media API

Scrape Reddit Search Media data with one API call. Searches Reddit's media-scoped index: the posts a keyword search would return, filtered to those that actually carry an image, a video or a gallery. Use it when you want visual content for a topic and do not want to filter a mixed page yourself. Up to 25 posts per page, each with the title, the score, the comment count, the subreddit, the upvote ratio, the flair, the author avatar, the thumbnail and the media at `content.media_urls` — an array on a gallery post and a single-element array otherwise. Reddit's operators work in `query` here too, so `subreddit:name terms` scopes the sweep to one community. `timeframe` applies on `sort=relevance`, `sort=top` and `sort=comment_count`; it has no effect on `sort=new`, which is already newest-first. Paginate with `cursor`. When the main source is down, a backup serves the first page and offers a `cursor` on `sort=top` only, for one more page of 25; on other sorts that page carries no `cursor`. A query that matches nothing still returns loosely-related media posts rather than an empty list, which is Reddit's own search behaviour.

Last updated October 2026Maintained by the SocialCrawl team

Returns up to 25 Reddit posts that carry an image, video or gallery, with the media at content.media_urls plus title, score, comment count and subreddit.

Use it for visual posts on a topic without filtering a mixed page yourself. subreddit:name terms scopes it to one community; timeframe has no effect on sort=new.

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 Search Media API?

The Search Media 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/search/media?query=mechanical+keyboard+build"
import requests

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

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

const data = await response.json();

Parameters

ParameterRequiredDescription
queryYesSearch phrase. Reddit's operators work here: `subreddit:name terms` scopes the sweep to one community, and quotes force an exact phrase.
sortNoSort by (relevance | new | top | comment_count)
timeframeNoOnly 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. (all | day | week | month | year)
cursorNoCursor to get more results. Get 'cursor' from the previous response.
sinceNoOnly rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. 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`.
untilNoOnly 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`.
Example Response

What does the Reddit Search Media 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/search/media",
  "data": {
    "items": [
      {
        "post": {
          "id": "1ngfk3g",
          "url": "https://www.reddit.com/r/MechanicalKeyboards/comments/1ngfk3g/first_mechanical_keyboard_build/",
          "content": {
            "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "media_urls": null,
            "thumbnail_url": "https://external-preview.redd.it/aC06lsnm94suYvrULw2iQltZ2_ovR5qIGUaeYU_BteI.jpeg?width=140&height=105&crop=140%3A105%2Csmart&auto=webp&s=8dfab828105abd379922fd79d0c89f3bf1992db9",
            "duration_seconds": null
          },
          "author": {
            "username": "user_ac34d4",
            "display_name": "user_b158a1",
            "avatar_url": "https://example.com/avatars/user_b6536c.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 4,
            "comments": 4,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2025-09-14T02:25:25.370Z",
          "ext": {
            "subreddit": "MechanicalKeyboards",
            "title": "Sample comment text (redacted).",
            "selftext": "[Link.](https://youtu.be/zBGOtffghuI)\n\n![img](hxa7j4klj1pf1)\n\n\\- M87 kit\n\n\\- Akko Dracula Linears\n\n\\- Aliexpress Marshmallow Keycaps",
            "upvote_ratio": 1,
            "flair": "Builds",
            "content_language": "en",
            "published_at_epoch": 1757816725
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "es",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "1thgcsn",
          "url": "https://www.reddit.com/r/PHMechanicalKeyboard/comments/1thgcsn/first_custom_mechanical_keyboard_deep_and_thocky/",
          "content": {
            "text": "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).",
            "media_urls": "https://packaged-media.redd.it/fyj7uj0dz12h1/dl/m2-res_640p.mp4?m=DASHPlaylist.mpd&v=1&e=1790942400&s=970aee631ebf965e8cd4560b36a7c312ca728c68",
            "thumbnail_url": "https://external-preview.redd.it/dm9obHhhMWR6MTJoMcVzbRvxSScrHpvLL-i-_QQ7KNVKs99YMYhdGobkPhqs.png?format=pjpg&auto=webp&s=e88f686059330a0b9d358e9a47532cd86ff451a0",
            "duration_seconds": 31
          },
          "author": {
            "username": "user_52cea8",
            "display_name": "user_c74a65",
            "avatar_url": "https://example.com/avatars/user_497e68.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 11,
            "comments": 7,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-05-19T08:16:29.529Z",
          "ext": {
            "subreddit": "PHMechanicalKeyboard",
            "title": "Sample comment text (redacted).",
            "selftext": "Hello, everyone! I've sorta been in the keyboard rabbit hole this month and decided to build my first customized mx board, trying to find and build the deepest and thockiest boi. After weeks of planning and ordering stuff, here is what I have achieved. I had fun experimenting with different mods and configurations on this. I'm also very much satisfied with the final build.\n\nBoard: PMO Aurora80 - Cheese White\n\nGasket: Customized Gasket-structure (Top: Poron Sandwich Cotton Foam + IXPE Switch Padding+ PET Film Sheet) & (Bottom:  Poron Bearing Base Foam + Poron Base Cotton + Protective PET Film Sheet)\n\nPlate: White POM Plate\n\nSwitches: Keygeek Y2 (Hand-lubed, and spring swapped to 22mm, 62g Double-Stage Springs)\n\nStabilizers: Stock Stabilizers (Hand-lubed and Re-tuned)\n\nKeycaps: Ceramic Keycaps\n\nMods: Force Break Mod (w/ O-Ring Dampeners)",
            "upvote_ratio": 0.9230769230769232,
            "flair": "Flexing My Board",
            "content_language": "en",
            "published_at_epoch": 1779178589
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null
        }
      }
    ],
    "next_cursor": "MjQ=",
    "total": null,
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiTWpRPSIsImUiOiJyZWRkaXQvc2VhcmNoL21lZGlhIiwicCI6ImN1cnNvciJ9",
    "has_more": true,
    "page_size": 25
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T07:33:23.757Z",
  "redacted": true
}

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

API Details

How does the Reddit Search Media 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 Search Media 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 search Reddit for posts with images or video?
Send a GET request to /v1/reddit/search/media with your query. It searches Reddit's media-scoped index, so every row already carries an image, a video or a gallery and you do not filter a mixed page yourself.
How do I get the direct media URL?
Each row carries content.media_urls, an array of direct URLs. A gallery post fills it with every image; a single image or video post returns a one-element array, so the same parsing works for both.
Can I scope the search to one community?
Yes. Reddit's operators work in the query here too, so subreddit:name plus your terms keeps the sweep inside one community, and quoted phrases force an exact match.
Does the timeframe filter always apply?
It applies 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 of the window you pass.
How much does the Reddit Image Search API cost?
Each page of up to 25 media posts costs 1 credit on the standard tier. New accounts get 100 free credits with no credit card required, which is 100 media searches.

Ask AI about SocialCrawl

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