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
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
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Search phrase. Reddit's operators work here: `subreddit:name terms` scopes the sweep to one community, and quotes force an exact phrase. |
| sort | No | Sort by (relevance | new | top | comment_count) |
| timeframe | No | 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. (all | day | week | month | year) |
| cursor | No | Cursor to get more results. Get 'cursor' from the previous response. |
| 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 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`. |
| 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`. |
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\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.
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
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(){
"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
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I search Reddit for posts with images or video?
How do I get the direct media URL?
Can I scope the search to one community?
Does the timeframe filter always apply?
How much does the Reddit Image Search API cost?
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