100 크레딧 무료, 카드 등록 없이
Gab Post Comments API
API 한 번의 호출로 Gab Post Comments 데이터를 받아 가세요. Returns the comments on a Gab post, up to 25 a page, in the unified Comment shape under `data.items[]`. Top-level comments and their nested replies come back in one list, in the order Gab's thread view pages them. Every row carries `comment.parent_id`: the post id for a top-level comment, or the parent comment's id for a nested reply, so the tree can be rebuilt. `engagement.likes` is the like count and `engagement.replies` is the reply count. `total` is Gab's own count of replies on the post. Pass `next_cursor` back as `cursor` while it is present. A post that does not exist returns a 404 and is not billed.
2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요
Gab 게시물에 달린 댓글을 페이지당 25개씩 반환합니다. 대댓글도 같은 목록에 들어 있고, 행마다 parent_id가 있어 대화 구조를 다시 짤 수 있습니다.
Gab 게시물 아래 대화를 읽을 때 사용하세요. 최신순, 오래된순, 인기순으로 정렬하고 next_cursor로 다음 페이지를 받습니다.
69개 플랫폼을 병렬로 검색합니다
·
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 SearchGab API
Post Comments API로 무엇을 할 수 있을까요
Post Comments 엔드포인트가 통합 스키마와 계산 필드를 담은 Gab 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.
요청 예시
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/gab/post/comments?url=https%3A%2F%2Fgab.com%2Fa%2Fposts%2F117445750063805239"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/gab/post/comments",
params={
'url': 'https://gab.com/a/posts/117445750063805239',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/gab/post/comments?url=https%3A%2F%2Fgab.com%2Fa%2Fposts%2F117445750063805239",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 예 | Gab post URL (`https://gab.com/<handle>/posts/<id>`). A bare numeric post id is accepted too. |
| cursor | 아니오 | The `next_cursor` value from the previous page (a page number), passed back unchanged. |
| sort | 아니오 | `newest` (the default), `oldest`, or `top` (Gab's own ranking, which favours the most liked comments). (newest | oldest | top) |
| since | 아니오 | 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 | 아니오 | 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`. |
응답 예시
Gab Post Comments API는 무엇을 돌려주나요
모든 응답은 하나의 통합 스키마를 따라요. 크레딧을 쓰기 전에 어떤 필드가 돌아오는지, 실제 응답 본문 그대로 확인해 보세요.
응답 예시 보기
{
"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,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 2
},
"redacted": true
}YouTube API에서 가져온 예시예요. 모든 SocialCrawl 엔드포인트가 똑같은 통합 스키마를 돌려주기 때문에, Gab Post Comments 응답도 같은 필드로 구성돼요.
API 상세
Gab Post Comments API는 어떻게 동작하나요
API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.
메서드
GET
응답 형식
JSON
개발자 우선
소셜 미디어 데이터를 몇 초 만에 수집하는 방법
개발자를 위한 가장 빠른 소셜 미디어 스크래핑 API. 월간 활성 사용자 100억 명 이상을 포괄하는 69개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 69개 플랫폼을 조회하세요. 연동은 한 번이면 충분합니다.
단순 수집을 넘어 계산된 필드 제공
엔드포인트가 해당 지표를 지원하고 계산에 필요한 원본 값이 있을 때, 정규화된 레코드에 engagement_rate, estimated_reach, content_category, language를 함께 담아 바로 활용할 수 있습니다.
코드 한 줄 쓰기 전에, 데이터부터
Visual Data Explorer에 URL만 붙여넣으면 결과 카드와 정형화된 테이블, CSV 내보내기를 바로 사용할 수 있습니다.
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"
}
}
}Gab Post Comments 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Gab 데이터를 받아 가세요.