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Sephora Category Data API

Scrape Sephora Category Data data with one API call. Returns one Sephora category: id, display name, SEO copy, and child categories. Feed a child id into GET /v1/sephora/category to walk that slice of the catalogue.

Last updated September 2026Maintained by the SocialCrawl team

Returns one Sephora category with its child categories, display name, and SEO copy.

Use it when you have a category id and need the children before walking products.

Searching 60 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Sephora API

What can you do with the Category Data API?

The Category Data endpoint gives you structured Sephora 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/sephora/category/data?id=cat1100057"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/sephora/category/data",
    params={
    'id': 'cat1100057',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/sephora/category/data?id=cat1100057",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
idYesSephora category id, for example cat1100057. Ids come from GET /v1/sephora/categories.
Example Response

What does the Sephora Category Data 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-8Kq2ZmR4vT9xLb3P",
  "cached": false
}

Example captured from the Instagram API. Every SocialCrawl endpoint returns this same unified schema, so your Sephora Category Data response has the same fields.

API Details

How does the Sephora Category Data 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 Sephora Category Data data?

We handle the complexity of Sephora 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 60 platforms covering 10B+ monthly active users.

One schema, every platform

Query 60 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"
    }
  }
}
+ 60 platforms

Ready to scrape Sephora Category Data data?

Get your API key and start pulling Sephora data in under 60 seconds.

Start for free

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