100 free credits. No credit card required
Instagram Post Comments API
Returns a post's comments, each with its text, author, like count, reply count, and time, ranked by popularity by default or newest first.
GET /v1/instagram/post/commentsLast updated November 2026Maintained by the SocialCrawl team
When to use the Instagram Post Comments API
Use it to read the comment section of one post, paging deeper with the cursor it returns; pass sort=recent for newest first.
From the API reference
Returns a list of comments on an Instagram post, ranked by the platform's own popularity order by default (sort=top) so the most-liked comments come first, or newest-first with sort=recent. Each comment includes the author, comment text, real like count, reply count, and creation timestamp. Page through with cursor. Note: comment.author.display_name is usually null, because the Instagram surface that serves this endpoint withholds commenter display names. Join on comment.author.username. comment.flags.liked_by_creator is true when the post's creator liked (hearted) the comment and false when not, and null when the source that served the call could not tell.
Searching 69 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·
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 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 SearchInstagram API
What can you do with the Post Comments API?
The Post Comments endpoint gives you structured Instagram data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/instagram/post/comments: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 10: this endpoint's measured p99 latency x 1.5.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 10 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/instagram/post/comments?url=https%3A%2F%2Fwww.instagram.com%2Fp%2FDXidPIVDU6M%2F&label=purchase_intent" && cat response.json# GET /v1/instagram/post/comments: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 10 # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/instagram/post/comments"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"url": "https://www.instagram.com/p/DXidPIVDU6M/",
"label": "purchase_intent",
}
# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10 # each page is one call
items = []
for _ in range(MAX_PAGES):
body = socialcrawl(params)
if body is None:
break
items.extend(body["data"]["items"])
page = body.get("pagination") or {}
if not page.get("has_more") or not page.get("next_cursor"):
break
params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")// GET /v1/instagram/post/comments: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 10_000; // this endpoint's measured p99 latency x 1.5.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/instagram/post/comments");
url.searchParams.set("url", "https://www.instagram.com/p/DXidPIVDU6M/");
url.searchParams.set("label", "purchase_intent");
// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
const body = await socialcrawl(url);
if (!body) break;
items.push(...body.data.items);
const next = body.pagination?.next_cursor;
if (!body.pagination?.has_more || !next) break;
url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);Parameters worth sending
label=purchase_intentMarks each comment that shows buying intent, at no extra credits; sentiment, question and complaint are free too.
Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | URL of the Instagram post (a /p/, /reel/, /reels/, or /tv/ link). A share link copied from the app (`instagram.com/share/...`) works too; a share link to a profile is refused at no charge with the handle to send, and a dead one is a free 404. |
| sort | No | Ordering: `top` (default) ranks by Instagram's popularity order (most-liked first); `recent` returns newest-first. Use `recent` when you are paging through a whole thread: Instagram ranks only the most-liked head, so a `top` walk starts repeating comments once you page past it. (top | recent) |
| cursor | No | Pagination cursor. Use the `next_cursor` from the previous response to fetch the next page. |
| safe_url | No | When true, returns URL-safe profile picture links suitable for embedding. |
| scan_pages | No | Optional, 1 to 3, default 1. With 2 or 3, the call reads that many pages, drops comments repeated across pages, and returns them all sorted by likes (sort=top) or newest first (sort=recent). Use it when the first page of a top-sorted thread is low-like comments. Costs 5 credits for each page that added comments; a page of repeats is not billed. data.scan reports the pages read and billed and whether the thread ended. |
| label | No | Optional CSV of SocialCrawl labels to add to every comment: sentiment, spam, question, purchase_intent, complaint, toxic, low_quality, injection. Without this param every page already carries sentiment, question, purchase_intent and complaint, free; label= adds the labels you name to them (the defaults keep running). Each comment gains computed.labels with probabilities (0 to 1), so you choose the cut-off; a comment that could not be judged carries labels: null. sentiment, question, purchase_intent and complaint are free when asked for too; spam, toxic, low_quality and injection add 1 credit per started 25 newly judged comments (comments already labelled for anyone are free, and so is a cached page). injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. judgments=off (or label=none) turns the default labels off. data.labels reports what was judged and billed. |
| exclude | No | Optional CSV (spam, low_quality), only with the same preset in label. Drops comments whose probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A comment that could not be judged is never dropped. |
| judgments | No | Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on | off) |
| dry_run | No | Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1) |
| label_evidence | No | Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1) |
| fit | No | Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal) |
| goal | No | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. |
| fit_tokens | No | Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it. |
| 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 the page, and the page that reaches one ends the walk: `next_cursor` is not returned and `pagination.stopped_at` is `since`. Sending it sets the newest-first sort shown in this endpoint's sort parameter (any other sort value is a free 400). The page still costs what a page costs, so you pay for the pages you walk and no more. 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`. |
| max_pages | No | 1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. The walk stops early at the last page, or when the request's time budget runs low; `data.walk.stopped` says why (`end`, `max_pages`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped. |
| max_items | No | 1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue. |
| max_credits | No | 1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price. |
Example Response
What does the Instagram 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": "instagram",
"endpoint": "/v1/instagram/post/comments",
"data": {
"items": [
{
"comment": {
"id": "18117485308668753",
"url": "https://example.com/redacted",
"parent_id": null,
"post_id": "DXidPIVDU6M",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_fe6bf9",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_6d63bb.png",
"verified": false
},
"engagement": {
"likes": 46932,
"replies": 125
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-05-02T19:24:27.000Z"
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.65,
"confidence": 0
},
"question": {
"p": 0.05
},
"purchase_intent": {
"p": 0.03
},
"complaint": {
"p": 0.05
}
}
}
},
{
"comment": {
"id": "18046487261746100",
"url": "https://example.com/redacted",
"parent_id": null,
"post_id": "DXidPIVDU6M",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_65b398",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_15dc3e.png",
"verified": false
},
"engagement": {
"likes": 30716,
"replies": 58
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-04-25T05:29:20.000Z"
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 1,
"score_0_1": 0.35,
"confidence": 0.55
},
"question": {
"p": 0.04
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.09
}
}
}
}
],
"next_cursor": "sc2.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",
"total": 3829,
"labels": {
"presets": [
"sentiment",
"question"
],
"rows": 15,
"labelled": 15,
"cached": 15,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "complete",
"pending": 0,
"pending_ids": []
},
"label_share": {
"policy_version": "share/1",
"presets": {
"question": {
"n": 15,
"counted": 0,
"abstained": 0,
"share": 0,
"low": 0,
"high": 0.1528,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"purchase_intent": {
"n": 15,
"counted": 0,
"abstained": 0,
"share": 0,
"low": 0,
"high": 0.1528,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"complaint": {
"n": 15,
"counted": 0,
"abstained": 0,
"share": 0,
"low": 0,
"high": 0.1528,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"sentiment": {
"positive": {
"n": 15,
"counted": 3,
"abstained": 6,
"share": null,
"low": 0.142,
"high": 0.6017,
"receipts": [
{
"id": "18310971151277655",
"text": "Sample comment text (redacted)."
},
{
"id": "18096181222991528",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 3,
"nulls": 0,
"low_confidence": 6
},
"neutral": {
"n": 15,
"counted": 3,
"abstained": 6,
"share": null,
"low": 0.142,
"high": 0.6017,
"receipts": [
{
"id": "18064806974373108",
"text": "Sample comment text (redacted)."
},
{
"id": "18050174852518170",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 3,
"nulls": 0,
"low_confidence": 6
},
"negative": {
"n": 15,
"counted": 3,
"abstained": 6,
"share": null,
"low": 0.142,
"high": 0.6017,
"receipts": [
{
"id": "18046487261746100",
"text": "Sample comment text (redacted)."
},
{
"id": "18112869775773960",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 3,
"nulls": 0,
"low_confidence": 6
}
}
}
},
"comment_language": {
"policy_version": "share/1",
"n": 15,
"abstained": 1,
"judged_by": {
"script": 0,
"choice": 14
},
"shares": {
"en": {
"n": 15,
"counted": 14,
"abstained": 1,
"share": 1,
"low": 0.838,
"high": 1,
"receipts": [
{
"id": "18117485308668753",
"text": "Sample comment text (redacted)."
},
{
"id": "18046487261746100",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false
}
}
},
"comment_recency": {
"policy_version": "d09-1",
"n": 15,
"counted": 15,
"abstained": 0,
"share_last_24h": 0,
"share_later_half": null,
"too_few": false,
"stage": "unknown",
"order": "top",
"recent_share_is_floor": true,
"receipts": []
},
"dropped": 0
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 15
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:37:09.669Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
API Details
How does the Instagram 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 69 platforms covering 10B+ monthly active users.
One schema, every platform
Query 69 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 scrape Instagram comments with an API?
Send a GET request to /v1/instagram/post/comments with the url parameter set to the post URL. SocialCrawl returns a JSON array of comments with author username, text, like count, reply count, and creation timestamp.
How do I paginate through Instagram comments?
The response includes a cursor field. Pass it back as the cursor query parameter on your next request to fetch the next page of comments. Keep paginating until the cursor field comes back empty.
Does the Instagram Comments API include replies?
Each top-level comment entry includes a reply_count field. To fetch the actual reply threads you can call the endpoint again with the reply's parent post and filter by the parent comment ID exposed in the payload.
Can I scrape comments from any Instagram post?
Yes, as long as the post is public. Private account posts and posts where comments are disabled by the author are not returned. Reels, photo posts, video posts, and carousel posts with public comments are all supported.
How much does the Instagram Comments API cost?
Each page costs 5 credits on the advanced tier. New accounts start with 100 free credits and no card on file, so you can pull around 20 pages of comments while you evaluate the endpoint.
Ask AI about SocialCrawl
Ready to scrape Instagram Post Comments data?
Get your API key and start pulling Instagram data in under 60 seconds.