Target Stores API
Scrape Target Stores data with one API call. Returns Target stores near a ZIP code, city, or state, each with its store id, name, full address, phone number, distance from the searched location, open/closed status, timezone, and two weeks of daily opening hours. Store data changes rarely, so it is 1 credit and heavily cached. Note that Target's product pricing is national on this API, so a store id here is for store-locator use rather than for localising prices.
Last updated July 2026Maintained by the SocialCrawl team
Searching 46 platforms in parallel
What can you do with the Stores API?
The Stores endpoint gives you structured Target 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/target/stores?query=10001"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/target/stores",
params={
'query': '10001',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/target/stores?query=10001",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Location to search near: a ZIP code (10001), a city (Austin), or a state. Both ZIP and city forms are verified. |
How does the Target 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 46 platforms covering 10B+ monthly active users.
One schema, every platform
Query 46 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(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usWhat can I search by?
What comes back for each store?
Are store coordinates included?
Can I use a store id to get store-level prices?
Why is this only 1 credit?
Ask AI about SocialCrawl
Ready to scrape Target Stores data?
Get your API key and start pulling Target data in under 60 seconds.
