TripAdvisor Search API
Scrape TripAdvisor Search data with one API call. Searches TripAdvisor for businesses and places (restaurants, hotels, attractions) matching a keyword in a location. Returns a unified PlaceList — each result carries the place name, category, star rating, total review count, and the `url_path` (the `id`/`url` are derived from it) that you pass to /v1/tripadvisor/reviews to pull that place's reviews. Results are location-bound (default: United States). Sourced from DataForSEO's task-based Business Data API; the async lifecycle is handled server-side, so this is an ordinary synchronous request (first calls take ~15-45s, then serve from cache).
Try the TripAdvisor Search API
See real data before writing a single line
Searching 35 platforms in parallel
What can you do with the Search API?
The Search endpoint gives you structured TripAdvisor data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/tripadvisor/search?q=pizza+restaurantParameters
| Parameter | Required | Description |
|---|---|---|
| q | Yes | Business category, company name, or prominent place (e.g. 'pizza restaurant'). |
| location | No | Full location name (e.g. 'New York,New York,United States'). Default: United States. Results are location-bound. |
| language | No | Optional language code to narrow results, e.g. 'en'. |
| depth | No | Number of results to retrieve (multiples of 30, default 30, max 60 on this synchronous endpoint). |
How does the TripAdvisor 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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