Sephora Stores API
Scrape Sephora Stores data with one API call. Returns Sephora stores near a latitude,longitude pair, each with store id, name, full address, phone, coordinates, distance in miles, and weekly opening hours. Default radius is 50 miles. Store data changes rarely, so it is 1 credit and heavily cached.
Last updated September 2026Maintained by the SocialCrawl team
Returns Sephora stores near a latitude,longitude pair, each with id, name, address, phone, coordinates, distance, and weekly hours.
Use it as a store locator. Pass lat,lng as location_coordinate. Default radius is 50 miles.
Searching 60 platforms in parallel
What can you do with the Stores API?
The Stores 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/stores?location_coordinate=37.4418834%2C-122.1430195"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/sephora/stores",
params={
'location_coordinate': '37.4418834,-122.1430195',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/sephora/stores?location_coordinate=37.4418834%2C-122.1430195",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| location_coordinate | Yes | Latitude and longitude as lat,lng, for example 37.4418834,-122.1430195. |
| radius | No | Search radius in miles, 1 to 100. Default 50. |
How does the Sephora Stores 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
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
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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 Stores data?
Get your API key and start pulling Sephora data in under 60 seconds.
