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YouTube Video Comments API

Returns comments on a video, each with the author name, comment text, like count, reply count, and publish timestamp.

GET /v1/youtube/video/comments
Start for freeSee an example response

Last updated November 2026Maintained by the SocialCrawl team

When to use the YouTube Video Comments API

Use it for a video's top-level comments, then pass the reply token it returns to video/comment/replies to open a single thread.

From the API reference

Returns a list of comments on a specific YouTube video. Each comment includes the author name, comment text, like count, reply count, and an exact per-second publish timestamp. For a date-window pull (say, the last two years of comments), pass since (and optionally until): since sets order=newest, rows arrive newest-first on comment.published_at with each next page strictly older and no overlap, rows older than since are left off, and the page that reaches one ends the walk (pagination.stopped_at: "since"). Each page costs what a page costs, so you pay only for the pages walked. One caveat for that walk: the first row of the first page can be the video's pinned comment regardless of order; it is out of date order and never ends the walk, so if you walk with order=newest yourself, filter rows by timestamp rather than stopping at the first out-of-window row.

Searching 69 platforms in parallel

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YouTube API

What can you do with the Video Comments API?

The Video Comments endpoint gives you structured YouTube data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

# GET /v1/youtube/video/comments: Metered: holds 1 credit 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/youtube/video/comments?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DdQw4w9WgXcQ&label=purchase_intent" && cat response.json
# GET /v1/youtube/video/comments: Metered: holds 1 credit 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/youtube/video/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.youtube.com/watch?v=dQw4w9WgXcQ",
    "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/youtube/video/comments: Metered: holds 1 credit 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/youtube/video/comments");
url.searchParams.set("url", "https://www.youtube.com/watch?v=dQw4w9WgXcQ");
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_intent Marks each comment that shows buying intent, at no extra credits; sentiment, question and complaint are free too.

Parameters

ParameterRequiredDescription
urlYesFull URL of the YouTube video to fetch comments for
continuationTokenNoContinuation token to get more comments. Get 'continuationToken' from previous response.
orderNoOrder of comments: 'top' (default, YouTube's relevance ranking) or 'newest' (exact newest-first on `comment.published_at`; each next page continues strictly older with no overlap: the lane for date-window and recency pulls). (top | newest)
searchTermNoFilter comments to those containing this search term.
formatNoText format for comment bodies: 'html' (default) or 'plainText'. (html | plainText)
max_resultsNoComments per page, 1-100. The default page is already 100, so set this only to shrink a page; out-of-range values are rejected with a free 400 rather than degrading the response.
channel_idNoYouTube channel id to fetch channel-level community comments for (instead of a video's comments).
labelNoOptional 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.
excludeNoOptional 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.
judgmentsNoOptional, 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_runNoOptional. 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_evidenceNoOptional, 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)
fitNoOptional. 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)
goalNoRequired by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokensNoOptional, 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.
sinceNoOnly 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`.
untilNoOnly 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_pagesNo1 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_itemsNo1 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_creditsNo1 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 YouTube Video 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": "Sample comment text (redacted).",
          "author": {
            "username": "user_607bca",
            "display_name": "user_607bca",
            "avatar_url": "https://example.com/avatars/user_b3bde6.png",
            "verified": null
          },
          "engagement": {
            "likes": 322497,
            "replies": 1000
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2025-04-22T19:05:08.000Z",
          "ext": {
            "replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pnZTM0MGRCZ0I3NWhXQm01NEFhQUJBZyJ9",
            "updated_at": "2025-04-22T19:05:08Z",
            "author_channel_id": "user_0faa89",
            "author_url": "https://example.com/user_fa30a8",
            "viewer_rating": "Sample comment text (redacted).",
            "text_original": "Sample comment text (redacted).",
            "preview_replies": [
              {
                "id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHE9eIiztxR",
                "channelId": "user_b70959",
                "videoId": "dQw4w9WgXcQ",
                "textDisplay": "Sample comment text (redacted).",
                "textOriginal": "Sample comment text (redacted).",
                "parentId": "Ugzge340dBgB75hWBm54AaABAg",
                "authorDisplayName": "user_a07ce6",
                "authorProfileImageUrl": "https://example.com/avatars/user_b7fd7d.png",
                "authorChannelUrl": "https://example.com/user_7ab559",
                "authorChannelId": {
                  "value": "user_5afaba"
                },
                "canRate": true,
                "viewerRating": "Sample comment text (redacted).",
                "likeCount": 7573,
                "publishedAt": "2025-04-22T19:14:32Z",
                "updatedAt": "2025-04-22T19:14:32Z"
              },
              {
                "id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAB_-JmDA",
                "channelId": "user_b70959",
                "videoId": "dQw4w9WgXcQ",
                "textDisplay": "Sample comment text (redacted).",
                "textOriginal": "Sample comment text (redacted).",
                "parentId": "Ugzge340dBgB75hWBm54AaABAg",
                "authorDisplayName": "user_d8b3d6",
                "authorProfileImageUrl": "https://example.com/avatars/user_2ece01.png",
                "authorChannelUrl": "https://example.com/user_7a3f35",
                "authorChannelId": {
                  "value": "user_da87da"
                },
                "canRate": true,
                "viewerRating": "Sample comment text (redacted).",
                "likeCount": 3180,
                "publishedAt": "2025-04-22T19:19:13Z",
                "updatedAt": "2025-04-22T19:19:13Z"
              }
            ]
          }
        },
        "computed": {
          "language": "en",
          "labels": {
            "sentiment": {
              "level": 3,
              "score_0_1": 0.85,
              "confidence": 0.61
            },
            "question": {
              "p": 0.03
            },
            "purchase_intent": {
              "p": 0.02
            },
            "complaint": {
              "p": 0.04
            }
          }
        }
      },
      {
        "comment": {
          "id": "UgzjClLu_KHsDVWheGx4AaABAg",
          "url": null,
          "parent_id": null,
          "post_id": "dQw4w9WgXcQ",
          "text": "Sample comment text (redacted).",
          "author": {
            "username": "user_f90324",
            "display_name": "user_f90324",
            "avatar_url": "https://example.com/avatars/user_191ddb.png",
            "verified": null
          },
          "engagement": {
            "likes": 1,
            "replies": 0
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-02T15:39:20.000Z",
          "ext": {
            "replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pqQ2xMdV9LSHNEVldoZUd4NEFhQUJBZyJ9",
            "updated_at": "2026-10-02T15:39:20Z",
            "author_channel_id": "user_121069",
            "author_url": "https://example.com/user_ec3ca5",
            "viewer_rating": "Sample comment text (redacted).",
            "text_original": "Sample comment text (redacted)."
          }
        },
        "computed": {
          "language": "en",
          "labels": {
            "sentiment": {
              "level": 3,
              "score_0_1": 0.76,
              "confidence": 0.8
            },
            "question": {
              "p": 0.02
            },
            "purchase_intent": {
              "p": 0.02
            },
            "complaint": {
              "p": 0.03
            }
          }
        }
      }
    ],
    "next_cursor": "sc2.eyJzIjoiYSIsImMiOiJzYzEuZXlKaklqb2lXakpXTUZneU5XeGtNbFo2WkVZNWJXRllTbnBrUXpCMFVUSmtibE5YWkVKVlZscEhUakphVTFRd1NrcFNhMDVPV2pKa1NGRlZSbFJSYkVad1drVnNRMW93U2taYU1WWktZVlZPUWxkVlJrTlRWVnBFVXpKa2JsSXdSa0pWTUVwU1lWVm9TbEZ0WkVKU1YyUldVMWMxY0ZGV2JFSlJhMnhIVVRCc2Nsb3daRUpSVjJ4RldqSTVUbEV3ZEd4YU1UZzFWbFZrUmxNeWF6Rk9SWEJDVWtaV1FsRnNiRUpWVVQwOUlpd2ljeUk2V3lKVlozcG5aVE0wTUdSQ1owSTNOV2hYUW0wMU5FRmhRVUpCWnlJc0lsVm5lbXBEYkV4MVgwdEljMFJXVjJobFIzZzBRV0ZCUWtGbklsMTkifQ",
    "total": null,
    "labels": {
      "presets": [
        "sentiment",
        "question"
      ],
      "rows": 2,
      "labelled": 2,
      "cached": 1,
      "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": 2,
          "counted": 0,
          "abstained": 0,
          "share": null,
          "low": 0,
          "high": 0.575,
          "receipts": [],
          "policy_version": "share/1",
          "too_few": true,
          "at_cut": 0,
          "nulls": 0,
          "low_confidence": 0
        },
        "purchase_intent": {
          "n": 2,
          "counted": 0,
          "abstained": 0,
          "share": null,
          "low": 0,
          "high": 0.575,
          "receipts": [],
          "policy_version": "share/1",
          "too_few": true,
          "at_cut": 0,
          "nulls": 0,
          "low_confidence": 0
        },
        "complaint": {
          "n": 2,
          "counted": 0,
          "abstained": 0,
          "share": null,
          "low": 0,
          "high": 0.575,
          "receipts": [],
          "policy_version": "share/1",
          "too_few": true,
          "at_cut": 0,
          "nulls": 0,
          "low_confidence": 0
        },
        "sentiment": {
          "positive": {
            "n": 2,
            "counted": 2,
            "abstained": 0,
            "share": null,
            "low": 0.425,
            "high": 1,
            "receipts": [
              {
                "id": "Ugzge340dBgB75hWBm54AaABAg",
                "text": "Sample comment text (redacted)."
              },
              {
                "id": "UgzjClLu_KHsDVWheGx4AaABAg",
                "text": "Sample comment text (redacted)."
              }
            ],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 2,
            "nulls": 0,
            "low_confidence": 0
          },
          "neutral": {
            "n": 2,
            "counted": 0,
            "abstained": 0,
            "share": null,
            "low": 0,
            "high": 0.575,
            "receipts": [],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 0,
            "nulls": 0,
            "low_confidence": 0
          },
          "negative": {
            "n": 2,
            "counted": 0,
            "abstained": 0,
            "share": null,
            "low": 0,
            "high": 0.575,
            "receipts": [],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 0,
            "nulls": 0,
            "low_confidence": 0
          }
        }
      }
    },
    "comment_language": {
      "policy_version": "share/1",
      "n": 2,
      "abstained": 0,
      "judged_by": {
        "script": 0,
        "choice": 2
      },
      "shares": {
        "en": {
          "n": 2,
          "counted": 2,
          "abstained": 0,
          "share": null,
          "low": 0.425,
          "high": 1,
          "receipts": [
            {
              "id": "Ugzge340dBgB75hWBm54AaABAg",
              "text": "Sample comment text (redacted)."
            },
            {
              "id": "UgzjClLu_KHsDVWheGx4AaABAg",
              "text": "Sample comment text (redacted)."
            }
          ],
          "policy_version": "share/1",
          "too_few": true
        }
      }
    },
    "comment_recency": {
      "policy_version": "d09-1",
      "n": 2,
      "counted": 2,
      "abstained": 0,
      "share_last_24h": 0.5,
      "share_later_half": null,
      "too_few": true,
      "stage": "unknown",
      "order": "top",
      "recent_share_is_floor": true,
      "receipts": [
        {
          "id": "UgzjClLu_KHsDVWheGx4AaABAg",
          "text": "Sample comment text (redacted)."
        }
      ]
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.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",
    "has_more": true,
    "page_size": 2
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T15:41:15.579Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the YouTube Video 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 YouTube Video Comments data?

We handle the complexity of YouTube 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 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"
    }
  }
}
+ 69 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 scrape comments from a YouTube video?
Send a GET request to /v1/youtube/video/comments with the video URL in the url parameter. The response includes author name, comment text, like count, reply count, and publish timestamp for each comment.
Can I sort comments by top or newest?
Yes. Pass order=top for the most-liked comments first, or order=newest for reverse-chronological order. Default is top, which matches YouTube's default UI sort.
How do I paginate through every comment?
Each response returns a continuationToken. Pass it as continuationToken=... on the next call to get the next page. Keep going until the token is empty, no total-count cap.
How do I get replies to a specific comment?
Every comment with replies exposes a repliesContinuationToken. Pass it to /v1/youtube/video/comment/replies to fetch the full reply thread with author, text, likes, and publish date.
Is this good for YouTube sentiment analysis?
Yes. You get clean comment text with author and engagement counts, ready to feed into an LLM or classifier. Batch it with the video endpoint to pair comments with video metadata.

Ask AI about SocialCrawl

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Ready to scrape YouTube Video Comments data?

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