Reddit Search Comments API
Scrape Reddit Search Comments data with one API call. Searches Reddit's COMMENT index directly, so a phrase that only ever appears three levels deep inside someone's reply is reachable in one call. Every other comment surface on this API needs a post you have already found; this one does not. Each hit arrives with its parent post inline, because a bare comment body off a search index is unreadable without it: `ext.post_title`, `ext.subreddit`, `ext.subreddit_subscribers`, `ext.post_score`, `ext.post_comment_count`, `ext.post_author`, `ext.post_published_at`, `ext.post_flair`, `ext.post_url` and `ext.content_language`. Reddit's search operators work in `query`, which is where most of the power is: `author:username` returns that account's indexed comments, `subreddit:name terms` scopes the sweep to one community, and quoted phrases tighten a loose match. `comment.parent_id` is null on this lane and that is honest rather than missing — the upstream does not say whether a hit is a top-level comment or a deep reply, and this API does not guess. Up to 25 hits per page; paginate with `cursor`. A query that matches nothing still returns a full page of loosely-related comments rather than an empty list, which is Reddit's own search behaviour on both of this API's Reddit upstreams, so judge relevance on the rows rather than on the count.
Last updated September 2026Maintained by the SocialCrawl team
Returns comments matching a phrase from Reddit's comment index, each with its parent post inline: ext.post_title, ext.subreddit, ext.post_score and ext.post_url.
Use it when the phrase lives in a reply rather than a title, and for author:username or subreddit:name sweeps. parent_id is null: the upstream does not report thread position.
Searching 64 platforms in parallel
What can you do with the Search Comments API?
The Search Comments 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/comments?query=best+project+management+software"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/reddit/search/comments",
params={
'query': 'best project management software',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/reddit/search/comments?query=best+project+management+software",
{
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: `author:username` for one account's comments, `subreddit:name terms` to scope to a community, and quotes for an exact phrase. |
| sort | No | Sort order for the comment hits. (relevance | top | new) |
| cursor | No | Cursor to get more results. Get 'cursor' from the previous response. |
What does the Reddit Search Comments 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": "youtube",
"endpoint": "/v1/youtube/video/comments",
"data": {
"items": [
{
"comment": {
"id": "Ugzge340dBgB75hWBm54AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "can confirm: he never gave us up",
"author": {
"username": "@YouTube",
"display_name": "@YouTube",
"avatar_url": "https://yt3.ggpht.com/3s6evpqAiDU9tQR4sC2siJippbH2RWVPnwHgyl4V0th2iuQz0VDQZbUhQBGmsxLYo-mjG6TqZQ=s48-c-k-c0x00ffffff-no-rj",
"verified": null
},
"engagement": {
"likes": 263767,
"replies": 1000
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2025-04-22T19:05:08Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pnZTM0MGRCZ0I3NWhXQm01NEFhQUJBZyJ9",
"updated_at": "2025-04-22T19:05:08Z",
"author_channel_id": "UCBR8-60-B28hp2BmDPdntcQ",
"author_url": "http://www.youtube.com/@YouTube",
"viewer_rating": "none",
"text_original": "can confirm: he never gave us up",
"preview_replies": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHE9eIiztxR",
"channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "YOUTUBE AND ONE LIKE WOOHAAAAH",
"textOriginal": "YOUTUBE AND ONE LIKE WOOHAAAAH",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "@linganguliguliwatcha",
"authorProfileImageUrl": "https://yt3.ggpht.com/AbGqKNjK9k5tyOqdV7cdXx-GgnGuuGQ5wj8RN42U5YCDvYHT0vaOKXGFahR36iaDPseGN08DjQ=s48-c-k-c0x00ffffff-no-rj",
"authorChannelUrl": "http://www.youtube.com/@linganguliguliwatcha",
"authorChannelId": {
"value": "UCjFRISlX-LPxiqViJAE3h6Q"
},
"canRate": true,
"viewerRating": "none",
"likeCount": 7051,
"publishedAt": "2025-04-22T19:14:32Z",
"updatedAt": "2025-04-22T19:14:32Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAB_-JmDA",
"channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "HEY YOUTUBE",
"textOriginal": "HEY YOUTUBE",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "@_bugrabilgin",
"authorProfileImageUrl": "https://yt3.ggpht.com/LvMpN24GYYr8w43sGoMeYZYejDPJz_skehI6jm_XGGhfM5YeRa9OOsaplj60LnFNehE79ZxImg=s48-c-k-c0x00ffffff-no-rj",
"authorChannelUrl": "http://www.youtube.com/@_bugrabilgin",
"authorChannelId": {
"value": "UCg9tPtxMOieUEyhSv63uJ4g"
},
"canRate": true,
"viewerRating": "none",
"likeCount": 2969,
"publishedAt": "2025-04-22T19:19:13Z",
"updatedAt": "2025-04-22T19:19:13Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAOCSlaNN",
"channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "new comment alert",
"textOriginal": "new comment alert",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "@NashiraArif",
"authorProfileImageUrl": "https://yt3.ggpht.com/ytc/AIdro_n1guDiz8iQIUgFGnmh5VA5PJlNSiWQwX3Ik0ywlPv8JUDRXZiF6wxDvbC7F3YSi1BdlA=s48-c-k-c0x00ffffff-no-rj",
"authorChannelUrl": "http://www.youtube.com/@NashiraArif",
"authorChannelId": {
"value": "UCWrbmlBO2iW7jwhSuvLsgXQ"
},
"canRate": true,
"viewerRating": "none",
"likeCount": 2058,
"publishedAt": "2025-04-22T19:20:56Z",
"updatedAt": "2025-04-22T19:20:56Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAQwtwdoZ",
"channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "oop 3rd didnt realise youtube was here😄",
"textOriginal": "oop 3rd didnt realise youtube was here😄",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "@jennaortega-m4m",
"authorProfileImageUrl": "https://yt3.ggpht.com/ytc/AIdro_lVdgv6VK0IOScTdHt1R4NdIFdRkvG2Y1jsrCR_otHBLogTg1YjnUt3k9YQBrmAT3VFLg=s48-c-k-c0x00ffffff-no-rj",
"authorChannelUrl": "http://www.youtube.com/@jennaortega-m4m",
"authorChannelId": {
"value": "UCbHhpa0tTOY_LO-uMH5ZKig"
},
"canRate": true,
"viewerRating": "none",
"likeCount": 908,
"publishedAt": "2025-04-22T19:21:18Z",
"updatedAt": "2025-04-22T19:21:18Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEB5iPJLDp",
"channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "He's ingrained in our brains at this point. Such a devoted man.",
"textOriginal": "He's ingrained in our brains at this point. Such a devoted man.",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "@TheAngelofBattle99",
"authorProfileImageUrl": "https://yt3.ggpht.com/92UP2htp8mRB1oRt7tZ1bmid5hSmtrt-fNUlOH0sgx0zBFEwLSQ7OT0Vo8nuyWC3XSyUxNl3oMQ=s48-c-k-c0x00ffffff-no-rj",
"authorChannelUrl": "http://www.youtube.com/@TheAngelofBattle99",
"authorChannelId": {
"value": "UCCejpvuOWrro8w-YM4SecQQ"
},
"canRate": true,
"viewerRating": "none",
"likeCount": 687,
"publishedAt": "2025-04-22T19:27:09Z",
"updatedAt": "2025-04-22T19:27:09Z"
}
]
}
},
"computed": {
"language": "en"
}
},
{
"comment": {
"id": "Ugzt9xJbQe-4VyOGK8x4AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "I meeted the guy",
"author": {
"username": "@jennifermcelroy2085",
"display_name": "@jennifermcelroy2085",
"avatar_url": "https://yt3.ggpht.com/ytc/AIdro_nTy0DrRqUrNPiKReDSnjaSqUcEJeTv0EqUZ-6VHjQEOs4=s48-c-k-c0x00ffffff-no-rj",
"verified": null
},
"engagement": {
"likes": 0,
"replies": 0
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-07-03T22:32:22Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3p0OXhKYlFlLTRWeU9HSzh4NEFhQUJBZyJ9",
"updated_at": "2026-07-03T22:32:22Z",
"author_channel_id": "UCHRSltH__Nk9yXm-aww6tgA",
"author_url": "http://www.youtube.com/@jennifermcelroy2085",
"viewer_rating": "none",
"text_original": "I meeted the guy"
}
},
"computed": {
"language": "en"
}
},
{
"comment": {
"id": "Ugx8NOxt469g3lmMl2Z4AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "An add saved me😀✌️",
"author": {
"username": "@luishenriquez5032",
"display_name": "@luishenriquez5032",
"avatar_url": "https://yt3.ggpht.com/s-zg7lsesYjtXe8hvMNlFFDdWnSEQ-zQsceXM_A3sOLzCbknV09lsl6SEoy0gRrKZi2aIZx7=s48-c-k-c0x00ffffff-no-rj",
"verified": null
},
"engagement": {
"likes": 0,
"replies": 0
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-07-03T22:24:30Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3g4Tk94dDQ2OWczbG1NbDJaNEFhQUJBZyJ9",
"updated_at": "2026-07-03T22:24:30Z",
"author_channel_id": "UCLn4sTEZM5X0rVl288NCvVw",
"author_url": "http://www.youtube.com/@luishenriquez5032",
"viewer_rating": "none",
"text_original": "An add saved me😀✌️"
}
},
"computed": {
"language": "en"
}
}
],
"next_cursor": "sc2.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",
"total": 100,
"dropped": 0
},
"credits_used": 1,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 100
}
}Example captured from the YouTube API. Every SocialCrawl endpoint returns this same unified schema, so your Reddit Search Comments response has the same fields.
How does the Reddit Search Comments 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 64 platforms covering 10B+ monthly active users.
One schema, every platform
Query 64 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"
}
}
}Ready to scrape Reddit Search Comments data?
Get your API key and start pulling Reddit data in under 60 seconds.
