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LinkedIn Post Comments Replies API

Scrape LinkedIn Post Comments Replies data with one API call. Lists the replies under one LinkedIn comment. **You must pass `cursor`**: LinkedIn only serves a reply thread against its own continuation token, so a call without one returns an empty list (and costs nothing). Get the token from the parent comment on /v1/linkedin/post/comments, where it is published as `comment.ext.previous_replies_token`, and pass it as `cursor` here. Only comments that actually have replies carry a token, so its presence on the parent row is itself the signal that there is a thread to fetch.

Last updated September 2026Maintained by the SocialCrawl team

Returns the replies under one LinkedIn comment, each with the replier's name, reply text, reaction and reply counts, and timestamps.

Use it after post/comments: pass that comment's comment_id together with the post url to expand a single thread.

Searching 67 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
LinkedIn API

What can you do with the Post Comments Replies API?

The Post Comments Replies endpoint gives you structured LinkedIn 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/linkedin/post/comments/replies?url=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fupdate%2Furn%3Ali%3Aactivity%3A7501466755261820928&comment_id=7501480403283886080"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/linkedin/post/comments/replies",
    params={
    'url': 'https://www.linkedin.com/feed/update/urn:li:activity:7501466755261820928',
    'comment_id': '7501480403283886080',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/linkedin/post/comments/replies?url=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fupdate%2Furn%3Ali%3Aactivity%3A7501466755261820928&comment_id=7501480403283886080",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
urlYesFull URL of the LinkedIn post. It has to carry the post's ACTIVITY id, either `https://www.linkedin.com/feed/update/urn:li:activity:<id>` or `https://www.linkedin.com/posts/<slug>-activity-<id>-<code>`. A `urn:li:share:` or `urn:li:ugcPost:` URL names a different id for the same post and is rejected with a 400 before any credits are charged, because it cannot be resolved to the post. Every endpoint that lists posts publishes the activity form as `post.url`, so copy that field rather than rebuilding the URL from `post.id`, which is not always the activity id.
comment_idYesLinkedIn comment ID (from /post/comments).
cursorNoLinkedIn cursor.
Example Response

What does the LinkedIn Post Comments Replies 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.eyJzIjoiYSIsImMiOiJzYzEuZXlKaklqb2lXakpXTUZneU5XeGtNbFo2WkVZNWJXRllTbnBrUXpCMFVUSmtibE5YWkVKVlZscEhUakphVTFRd1NrcFNhMDVNV2pKa1NGRlZSbFJSYkVad1UwVnNRMW93UmtaYU1WWktZbXhPUWxkVlJsTlRWVnBFVTFka2JsSXdSa0pWTUVwU1lWVndTbEZ0WkVKVFYyTXdVekJTUW1GWGF6TlRhazVVVVcxb1JWZFViSHBNVjJoQ1ZWRTlQU0lzSW5NaU9sc2lWV2Q1WTNoMlQyMTRiRGRWZDBVMlRqYzBkRFJCWVVGQ1FXY2lMQ0pWWjNnMlNtaHJOemxCT0V0aE0zZEZhMDlXTkVGaFFVSkJaeUlzSWxWbmVEQk1jRmhWUjBFd05tUnplRmhpZURVMFFXRkJRa0ZuSWl3aVZXZDVjWFpVVmtFNU0wUlVUbU5FZEU5UFZqUkJZVUZDUVdjaUxDSlZaM2RNV21GT1NsOWFTREZYVlhORWNGWk9ORUZoUVVKQlp5SXNJbFZuZVZWNGFVbDJhbXRwTFhGNlZWTjBaMDQwUVdGQlFrRm5JaXdpVldkNVdVSnhlRkV3YjBod1ZpMUlPSGsxZERSQllVRkNRV2NpTENKVlozbHlOVzlCV2t4MlduSkNTbUpmU1VKc05FRmhRVUpCWnlJc0lsVm5lazlyVUdOUVMyZERaa1pEWWtSeGIzUTBRV0ZCUWtGbklpd2lWV2Q2WHpBMFZWSnVZbXBHY0c1b1NXcFFiRFJCWVVGQ1FXY2lMQ0pWWjNobWRVSnBkVXBhWTNkeE5uVllkbEJ3TkVGaFFVSkJaeUlzSWxWbmR5MUlhRmhYZVdSalpreG1lbmxtY1U0MFFXRkJRa0ZuSWl3aVZXZDZNeTFVYVVwRk9FaEtUa2hXUm5kSk5UUkJZVUZDUVdjaUxDSlZaM3BMYm14SmVURmZZMnhHUVd4VWEwNVNORUZoUVVKQlp5SXNJbFZuZUdWUlJ6QlVkRVoxVFVWb1l6QkthWEEwUVdGQlFrRm5JaXdpVldkNmRXRnlaamxRUkhsa2JYZFNjV2xUZURSQllVRkNRV2NpTENKVlozaGZhemxpTWpNdGJtRmhNR3B0YUY5c05FRmhRVUpCWnlJc0lsVm5lbEl3TUU1R00xRktNM2c0Ykdoa1dYZzBRV0ZCUWtGbklpd2lWV2Q1UzBSbGNXSkNjMFJCU2pSU2RGcFFTalJCWVVGQ1FXY2lMQ0pWWjNoaFQyRm1VRkZ1ZWxOS1Z6RkdSekJDTkVGaFFVSkJaeUlzSWxWbmVEUmtaemxwUW1neFZtNTRUbWRqZFRFMFFXRkJRa0ZuSWl3aVZXZDNUR1kxVmpWWmQyWnhWRk54UzNoRGNEUkJZVUZDUVdjaUxDSlZaM2RmU25GbVluRm5OSGhSUVdveGNEVTFORUZoUVVKQlp5SXNJbFZuZHpFMldFWTJkM2QzZHpoNU1GOXplazQwUVdGQlFrRm5JaXdpVldkM2NISktjMkZsVGtWNUxXRnBVV0ZQTlRSQllVRkNRV2NpTENKVlozazBXbUZQV25JNFVWb3lWMngwZW1wS05FRmhRVUpCWnlJc0lsVm5lbWQ0TWxCTlpuQkRlWE10VUhrNFJsSTBRV0ZCUWtGbklpd2lWV2Q0WDFKc1JDMDNUbkIxUTFseFV6bE9NVFJCWVVGQ1FXY2lMQ0pWWjNwQ09VVXlia05LT0ZWcWVVbFRkMmw0TkVGaFFVSkJaeUlzSWxWbmVWSnpUMmxJZDBSR1gyTmtTV2s1VVZJMFFXRkJRa0ZuSWl3aVZXZDRZamx2U25CNU9FeFFSbkZQYUVkZlpEUkJZVUZDUVdjaUxDSlZaM2xEVUc1VFIwODRXbkpWZFU1MVVsUTFORUZoUVVKQlp5SXNJbFZuZUZOMGNtdFplR3RNTFhWVFkyaEJNRVkwUVdGQlFrRm5JaXdpVldkNmNWTmZZV3d4ZDBWU1dqUmxZWGsxZERSQllVRkNRV2NpTENKVlozcHJObTVpYjBwaVRsZDJja2xDV1Vaa05FRmhRVUpCWnlJc0lsVm5lVVJ5Tm5CTE5HcFVheTEyY1c5bE9VSTBRV0ZCUWtGbklpd2lWV2Q1WWxwYVNWOWhkbFZ1ZVhCU01sOHhRalJCWVVGQ1FXY2lMQ0pWWjNwUk0yVkZOVmRWT1U1UU5XVTJPR1Z3TkVGaFFVSkJaeUlzSWxWbmVIb3lZbmhEVFV0MGRFOXFlRzFJYnpVMFFXRkJRa0ZuSWl3aVZXZDROV0YwY201U01WQnZNVWRYVnpkeVJqUkJZVUZDUVdjaVhYMCJ9",
    "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 LinkedIn Post Comments Replies response has the same fields.

API Details

How does the LinkedIn Post Comments Replies 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 LinkedIn Post Comments Replies data?

We handle the complexity of LinkedIn 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 67 platforms covering 10B+ monthly active users.

One schema, every platform

Query 67 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"
    }
  }
}
+ 67 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 get the replies to a LinkedIn comment?
Send a GET request to /v1/linkedin/post/comments/replies with both the post URL and the comment_id in the query. SocialCrawl returns every reply to that specific comment, each with the replier's identity, text, and reaction count.
Where do I find the comment_id to pass in?
Each comment returned by /v1/linkedin/post/comments carries its own comment_id. Take that value and pass it to this endpoint along with the post URL to expand that comment's reply thread.
How do I paginate through the replies?
Use the cursor (or page) returned in the response and pass it back on the next call to fetch more replies. Keep going until the reply list comes back empty.
How much does the LinkedIn Comment Replies API cost?
Each page costs 5 credits on the advanced tier, no matter how many replies come back. New accounts get 100 free credits with no credit card, enough for 20 pages of replies.
Why is this a separate endpoint from post comments?
LinkedIn nests replies under each top-level comment, so replies are fetched per comment. This endpoint takes one comment_id and expands its thread, letting you get depth only where you need it.
Can I rebuild an entire LinkedIn comment thread?
Yes. Call /v1/linkedin/post/comments to list top-level comments, then call this endpoint with each comment_id that has a non-zero reply count to pull its replies and assemble the complete thread.

Ask AI about SocialCrawl

Ready to scrape LinkedIn Post Comments Replies data?

Get your API key and start pulling LinkedIn data in under 60 seconds.

Start for free

🤖 AI agent or LLM? Read this page as markdown