Google Shopping Product Search API
Scrape Google Shopping Product Search data with one API call. Searches Google Shopping for products matching a keyword. Returns a unified ProductList with title, seller, price (current/original/currency), rating, image URLs, and the opaque product identifiers (id, ext.gid, ext.data_docid) required to fetch product detail, reviews, or sellers. Sourced from DataForSEO's task-based Merchant/Google API; the async lifecycle is handled server-side, so this is an ordinary synchronous request. First calls take ~20-30s, then serve from cache.
Try the Google Shopping Product Search API
See real data before writing a single line
Searching 35 platforms in parallel
What can you do with the Product Search API?
The Product Search endpoint gives you structured Google Shopping data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/google_shopping/product-search?query=wireless+earbudsParameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Product search keyword (e.g. 'wireless earbuds'). |
| country | No | DataForSEO location name (e.g. 'United States', 'United Kingdom'). Defaults to United States. |
| language | No | Language code (e.g. 'en'). Defaults to en. |
| depth | No | Number of product results to retrieve (default 40, max 120). More results = longer task time. |
| price_min | No | Minimum product price filter. |
| price_max | No | Maximum product price filter. |
| sort_by | No | Result ordering: review_score, price_low_to_high, or price_high_to_low. (review_score | price_low_to_high | price_high_to_low) |
How does the Google Shopping Product Search API work?
Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.
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 35 platforms covering 10B+ monthly active users.
One schema, every platform
Query 35 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.
No code required
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
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