Sephora Reviews API
Scrape Sephora Reviews data with one API call. Returns written customer reviews for a Sephora product, 10 per page by default, each with the full review text, star rating, title, reviewer nickname, submission date, and helpful-vote count. The review total is exact. Pass the returned cursor back until has_more is false. Optional sort_by: most_helpful, highest_rating, lowest_rating, oldest, newest. Optional rating keeps only that star value.
Last updated September 2026Maintained by the SocialCrawl team
Returns written customer reviews for a Sephora product, 10 per page, each with text, star rating, title, reviewer nickname, and submission date.
Use it when you have a product id and need the review text. The star average is already on GET /v1/sephora/product.
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Universal SearchTikTok·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·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·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·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·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·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchWhat can you do with the Reviews API?
The Reviews 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/reviews"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/sephora/reviews",
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/sephora/reviews",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| product_id | No | Sephora product id, the P-number at the end of a product URL: sephora.com/product/the-ordinary-deciem-natural-moisturizing-factors-ha-P427414 is product id P427414. Product ids also come back on every row of GET /v1/sephora/search and GET /v1/sephora/category. |
| url | No | Full Sephora product URL, for example https://www.sephora.com/product/the-ordinary-deciem-natural-moisturizing-factors-ha-P427414. The product id is extracted from the path. |
| page | No | Page number, starting at 1. Prefer the universal cursor parameter. |
| limit | No | Reviews per page, 1 to 100. Default 10. |
| sort_by | No | Review ordering: most_helpful, highest_rating, lowest_rating, oldest, newest. (most_helpful | highest_rating | lowest_rating | oldest | newest) |
| rating | No | Keep only reviews with this star value, 1 to 5. |
How does the Sephora Reviews 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
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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.
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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 Sephora Reviews data?
Get your API key and start pulling Sephora data in under 60 seconds.