Prism Comment Lookup API
Scrape Prism Comment Lookup data with one API call. Batch version of the single-comment lookup, built for recurring brand-comment tracking. Pass up to 25 items, each either `{ comment_url }` or `{ platform, post_url, comment_id }` (plus optional `parent_comment_id`, `position_hint`, `deep_scan`). Every item resolves independently — one bad item never fails the batch — and returns a `status` of `found`, `not_found`, `error`, or `deferred`. Billing is per item (TikTok 2 credits, Instagram 5 credits; deep_scan raises it); only `found` items are charged, everything else is refunded, and the whole batch holds at most 100 credits. Store each returned `lookup.position_hint` and pass it back on the next run so a daily refresh of your tracked comments costs ~1-2 credits per item. Returns sync JSON, or a typed SSE stream (`Accept: text/event-stream`) that emits each item as it settles. Items not started within the 45-second budget come back `deferred` (refunded) — just re-request them.
Last updated July 2026
Try the Prism Comment Lookup API
See real data before writing a single line
Searching 44 platforms in parallel
What can you do with the Comment Lookup API?
The Comment Lookup endpoint gives you structured Prism 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/prism/comment-lookup?items=%5B%7B%22comment_url%22%3A%22https%3A%2F%2Fwww.tiktok.com%2F%40mrbeast%2Fvideo%2F7654638524729216287%3Fcomment_id%3D7654640784985211670%22%7D%2C%7B%22platform%22%3A%22instagram%22%2C%22post_url%22%3A%22https%3A%2F%2Fwww.instagram.com%2Fp%2FCnpPou9hWqq%2F%22%2C%22comment_id%22%3A%2218007013966365752%22%7D%5D"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/comment-lookup",
params={
'items': '[{"comment_url":"https://www.tiktok.com/@mrbeast/video/7654638524729216287?comment_id=7654640784985211670"},{"platform":"instagram","post_url":"https://www.instagram.com/p/CnpPou9hWqq/","comment_id":"18007013966365752"}]',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/prism/comment-lookup?items=%5B%7B%22comment_url%22%3A%22https%3A%2F%2Fwww.tiktok.com%2F%40mrbeast%2Fvideo%2F7654638524729216287%3Fcomment_id%3D7654640784985211670%22%7D%2C%7B%22platform%22%3A%22instagram%22%2C%22post_url%22%3A%22https%3A%2F%2Fwww.instagram.com%2Fp%2FCnpPou9hWqq%2F%22%2C%22comment_id%22%3A%2218007013966365752%22%7D%5D",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| items | Yes | JSON array of 1–25 lookup items. Each item is `{ "comment_url": "…" }` or `{ "platform": "tiktok"|"instagram", "post_url": "…", "comment_id": "…" }`, optionally with `parent_comment_id`, `position_hint`, and `deep_scan`. |
What does the Prism Comment Lookup 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": "instagram",
"endpoint": "/v1/instagram/engagement",
"data": {
"engagement_rate_percentages": 38.33,
"recent_posts": 12,
"followers": 87608035,
"comments": 528912,
"likes": 33049046,
"recent_posts_explanation": "Statistics based on the last 12 posts",
"id_user": "2278169415",
"username": "mrbeast",
"is_private": false,
"posts_details": [
{
"likes": 5636982,
"comments": 69484,
"taken_at": 1781457954,
"datetime": "2026-06-14 20:25:54",
"hours_since_post": 461,
"time_ago": "19 days ago",
"likes_per_hour": 12228,
"comments_per_hour": 151
},
{
"likes": 20000768,
"comments": 223510,
"taken_at": 1732824650,
"datetime": "2024-11-28 23:10:50",
"hours_since_post": 13971,
"time_ago": "2 years ago",
"likes_per_hour": 1432,
"comments_per_hour": 16
},
{
"likes": 929226,
"comments": 30633,
"taken_at": 1782232475,
"datetime": "2026-06-23 19:34:35",
"hours_since_post": 246,
"time_ago": "10 days ago",
"likes_per_hour": 3777,
"comments_per_hour": 125
},
{
"likes": 487761,
"comments": 22482,
"taken_at": 1781799425,
"datetime": "2026-06-18 19:17:05",
"hours_since_post": 366,
"time_ago": "15 days ago",
"likes_per_hour": 1333,
"comments_per_hour": 61
},
{
"likes": 712265,
"comments": 15716,
"taken_at": 1781366405,
"datetime": "2026-06-13 19:00:05",
"hours_since_post": 487,
"time_ago": "20 days ago",
"likes_per_hour": 1463,
"comments_per_hour": 32
},
{
"likes": 1475116,
"comments": 35386,
"taken_at": 1781277094,
"datetime": "2026-06-12 18:11:34",
"hours_since_post": 512,
"time_ago": "21 days ago",
"likes_per_hour": 2881,
"comments_per_hour": 69
},
{
"likes": 1108220,
"comments": 26632,
"taken_at": 1780160249,
"datetime": "2026-05-30 19:57:29",
"hours_since_post": 822,
"time_ago": "1 months ago",
"likes_per_hour": 1348,
"comments_per_hour": 32
},
{
"likes": 542948,
"comments": 28476,
"taken_at": 1779375582,
"datetime": "2026-05-21 17:59:42",
"hours_since_post": 1040,
"time_ago": "1 months ago",
"likes_per_hour": 522,
"comments_per_hour": 27
},
{
"likes": 698514,
"comments": 24401,
"taken_at": 1779120014,
"datetime": "2026-05-18 19:00:14",
"hours_since_post": 1111,
"time_ago": "2 months ago",
"likes_per_hour": 629,
"comments_per_hour": 22
},
{
"likes": 468000,
"comments": 13548,
"taken_at": 1778947209,
"datetime": "2026-05-16 19:00:09",
"hours_since_post": 1159,
"time_ago": "2 months ago",
"likes_per_hour": 404,
"comments_per_hour": 12
},
{
"likes": 526594,
"comments": 24411,
"taken_at": 1777737719,
"datetime": "2026-05-02 19:01:59",
"hours_since_post": 1495,
"time_ago": "2 months ago",
"likes_per_hour": 352,
"comments_per_hour": 16
},
{
"likes": 462652,
"comments": 14233,
"taken_at": 1777580305,
"datetime": "2026-04-30 23:18:25",
"hours_since_post": 1538,
"time_ago": "2 months ago",
"likes_per_hour": 301,
"comments_per_hour": 9
}
]
},
"credits_used": 5,
"credits_remaining": 9999,
"request_id": "req_example000000",
"cached": false
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Prism Comment Lookup API work?
Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.
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 44 platforms covering 10B+ monthly active users.
One schema, every platform
Query 44 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
Every response 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 Prism Comment Lookup data?
Get your API key and start pulling Prism data in under 60 seconds.
