100 free credits. No credit card required.Start building
Logo
100 free credits. No credit card required

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, awards, creation timestamp, and a recursive `replies[]` array. 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: any branch left unexpanded exposes an `ext.replies_cursor`, and `data.truncated` is true when more remains. `truncated: false` therefore means you have every comment the listing serves. That can still be fewer than the post's own `engagement.comments`, because Reddit counts removed, deleted, and filtered replies that the listing never returns to anyone.

Last updated August 2026Maintained by the SocialCrawl team

Returns the full comment tree for a post, each comment with author, body, score, direct-reply count, awards, timestamp, and its nested replies.

Use it when you want the whole discussion rather than only top-level comments. Reddit's own comment count includes removed and filtered replies the listing never serves, so it runs higher.

Searching 51 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·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·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·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility·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·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·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·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility·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·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·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·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility·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·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·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·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility·Universal Search logoUniversal Search
Reddit 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%2Ftechnology%2Fcomments%2Fabc123%2Fexample_post%2F"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/reddit/post/comments",
    params={
    'url': 'https://www.reddit.com/r/technology/comments/abc123/example_post/',
    },
    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%2Ftechnology%2Fcomments%2Fabc123%2Fexample_post%2F",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
urlYesFull URL of the Reddit post to fetch comments for
cursorNoCursor to get more comments, or replies.
trimNoSet to true for a trimmed down version of the response
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

Why SocialCrawl

Why use SocialCrawl for Reddit Post Comments 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 51 platforms covering 10B+ monthly active users.

One schema, every platform

Query 51 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"
    }
  }
}
+ 51 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 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.

Start for free

🤖 AI agent or LLM? Read this page as markdown