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Reddit Post Comments API
Scrape Reddit Post Comments data with one API call. Returns the full threaded comment tree for a Reddit post. Nested replies are auto-expanded by following upstream pagination, so a single call returns the deep tree (not just top-level comments). Each comment includes the author, body, score, direct-reply count, creation timestamp, its nesting depth at `ext.depth`, and a recursive `replies[]` array. Comment bodies are Reddit's own markdown source, so `comment.text` can contain markdown such as `**bold**` and `[label](url)`. Comment ids are unique within a response: cursor windows can re-offer a boundary node, and those are de-duplicated before the tree is returned. Very large threads are bounded, and `data.truncated` tells you whether more of the thread exists than the response carries. It is not simply a record of our own paging: a response that reached the source's end of the thread is still reported as `truncated: true` when it falls far short of the post's own comment count, because that end is the end of one ranking window rather than the end of the thread. So `truncated: true` can arrive with no `next_cursor`, which means the thread is incomplete and this endpoint cannot fetch you the rest. A whole thread pages from one top-level cursor, so `ext.replies_cursor` on an individual branch is rare. `truncated: false` means the response looks complete against the post's own count, which is normally still higher than the comments you receive because Reddit counts removed, deleted, and filtered replies that no listing returns to anyone. `items[]` can also contain a comment whose own parent was removed upstream: it sits at the top level beside the real roots, and `parent_id` is what separates them, because a root's `parent_id` equals its `post_id` and an orphan's does not.
Last updated September 2026Maintained by the SocialCrawl team
Returns the full comment tree for a post, each comment with author, body, score, direct-reply count, nesting depth, timestamp, and its nested replies.
Use it when you want the whole discussion rather than only top-level comments. Read data.truncated: true means the thread is incomplete, so keep paging while a cursor comes back.
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TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchReddit API
What can you do with the Post Comments API?
The Post 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/post/comments?url=https%3A%2F%2Fwww.reddit.com%2Fr%2FNoteTaking%2Fcomments%2F1o9s55r%2Fi_tried_all_popular_ai_notetaking_apps_so_you%2F"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/reddit/post/comments",
params={
'url': 'https://www.reddit.com/r/NoteTaking/comments/1o9s55r/i_tried_all_popular_ai_notetaking_apps_so_you/',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/reddit/post/comments?url=https%3A%2F%2Fwww.reddit.com%2Fr%2FNoteTaking%2Fcomments%2F1o9s55r%2Fi_tried_all_popular_ai_notetaking_apps_so_you%2F",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full URL of the Reddit post to fetch comments for |
| cursor | No | Cursor to get more comments, or replies. |
| trim | No | Accepted, but not honoured on this endpoint: the source that serves it does not offer a trimmed shape, so the response is the same either way. Kept because removing an accepted parameter would break existing calls. |
Example Response
What does the Reddit Post 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 Post Comments response has the same fields.
API Details
How does the Reddit Post 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
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 65 platforms covering 10B+ monthly active users.
One schema, every platform
Query 65 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"
}
}
}FAQ
Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I fetch Reddit comments for a post?
Send a GET request to /v1/reddit/post/comments with the full post URL in the url parameter. SocialCrawl returns a threaded comment tree including author, body text, score, reply count, awards, and creation timestamp for every comment.
Are replies nested or flat in the response?
Replies are nested. Each comment has a replies array containing its direct children, which in turn contain their own replies. Walk the tree recursively to process the full conversation, or flatten it if you only need a sentiment snapshot.
How do I load more replies on deep threads?
Usually you don't need to. The endpoint returns the full tree by default, auto-following Reddit's nested reply pages for you. Only on very large threads that hit the expansion limit does the response set data.truncated and include a cursor at each unexpanded branch. Pass that cursor as the cursor parameter to fetch the rest.
Do you return deleted or removed comments?
Reddit replaces deleted comments with placeholder text and removed comments with moderator notices. SocialCrawl returns them as-is so your pipeline can detect and filter them. The original body text is not recoverable from the public endpoint.
How much does the Reddit Comments API cost?
Each call is a flat 5 credits on the advanced tier, regardless of thread size. It costs more than a basic read because it returns the entire comment tree in one call, auto-expanding Reddit's nested reply pages for you across multiple upstream fetches. Very large threads stop at a safety limit and hand back a cursor to continue. New accounts get 100 free credits, and trim=true keeps payloads light.
Ask AI about SocialCrawl
Ready to scrape Reddit Post Comments data?
Get your API key and start pulling Reddit data in under 60 seconds.