LinkedIn Post Comments Replies API
Scrape LinkedIn Post Comments Replies data with one API call. Lists the replies under one LinkedIn comment, oldest first, each with its author, text, time, reaction breakdown and `ext.is_submitter` (true when the reply is by the post's author). Called without `cursor` it returns the whole thread. Called with the parent's `ext.previous_replies_token` as `cursor` it returns only the replies older than the newest one, which /v1/linkedin/post/comments already carries in `comment.replies`, so the two calls together are the thread with no overlap. Pass the parent comment's `comment.id`, or its `comment.ext.urn`, as `comment_id`; the urn is the faster route on posts published as images, video or documents. A thread read without `cursor` takes about 20 seconds, and up to about 30 on the first comment of such a post when only the bare id is passed.
Last updated October 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 68 platforms in parallel
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·
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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 SearchTikTok·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 SearchTikTok·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 SearchTikTok·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 SearchWhat 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
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full 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_id | Yes | The parent comment's `comment.id` from /v1/linkedin/post/comments, or its `comment.ext.urn` (urn:li:comment:(ugcPost:<post>,<comment>)). |
| cursor | No | LinkedIn cursor. |
| 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 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": "linkedin",
"endpoint": "/v1/linkedin/post/comments/replies",
"data": {
"items": [
{
"comment": {
"id": "7501507494762942464",
"url": null,
"parent_id": null,
"post_id": "7501466755261820928",
"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).",
"author": {
"username": "user_fd0433",
"display_name": "user_dea832",
"avatar_url": "https://example.com/avatars/user_893831.png",
"verified": null
},
"engagement": {
"likes": 5,
"replies": 0
},
"flags": {
"pinned": false,
"deleted": false
},
"published_at": "2026-09-04T05:12:38.022Z",
"ext": {
"author_id": "user_c5e97e",
"urn": "user_3cc30c",
"reaction_counts": [
{
"count": 4,
"type": "LIKE"
},
{
"count": 1,
"type": "EMPATHY"
}
],
"is_edited": false,
"previous_replies_token": null,
"author_headline": "user_97697d",
"is_submitter": false
}
},
"computed": {
"language": "en"
}
},
{
"comment": {
"id": "7501511513585762304",
"url": null,
"parent_id": null,
"post_id": "7501466755261820928",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_c6895c",
"display_name": "user_e92645",
"avatar_url": "https://example.com/avatars/user_bbc029.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": 0
},
"flags": {
"pinned": false,
"deleted": false
},
"published_at": "2026-09-04T05:28:36.183Z",
"ext": {
"author_id": "user_e059a3",
"urn": "user_64e8c1",
"reaction_counts": [
{
"count": 1,
"type": "EMPATHY"
}
],
"is_edited": false,
"previous_replies_token": null,
"author_headline": "user_7c75cf",
"is_submitter": false
}
},
"computed": {
"language": "en"
}
}
],
"total": null,
"comment_recency": {
"policy_version": "d09-1",
"n": 4,
"counted": 4,
"abstained": 0,
"share_last_24h": 0,
"share_later_half": null,
"too_few": true,
"stage": "unknown",
"order": "default",
"recent_share_is_floor": true,
"receipts": []
},
"dropped": 0
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 4
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:37:59.630Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
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
How do you scrape social media data in seconds?
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Query 68 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.
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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 get the replies to a LinkedIn comment?
Where do I find the comment_id to pass in?
How do I paginate through the replies?
How much does the LinkedIn Comment Replies API cost?
Why is this a separate endpoint from post comments?
Can I rebuild an entire LinkedIn comment thread?
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