Tripadvisor API
Reviews, rankings and attraction data for hospitality intelligence.
Why teams scrape Tripadvisor
Tripadvisor holds some of the most commercially useful public data on the web, and almost none of it is available through a stable official feed at the volume real products need. Rate limits, partner-only access and shifting page structures mean teams either give up on the source or maintain a fragile scraper that breaks every few weeks.
Review volume and sentiment drive booking conversion more than almost any other variable, and Tripadvisor remains the deepest public archive for hotels, restaurants and attractions.
Irmu removes the infrastructure question entirely. One authenticated request handles proxy selection, browser rendering, anti-bot challenges and retries, and AI Extract turns the resulting page into validated JSON against a schema you define. You get venue_name, category, rating, review_count, ranking, price_band, reviews, amenities without writing or maintaining a single selector, and the same endpoint, quota and observability model you already use for every other source.
What it powers
Reputation benchmarking
Compare review velocity and sentiment against your compset.
Menu and amenity research
Extract structured detail from thousands of venues.
Destination analysis
Rank neighbourhoods by supply quality and demand.
Fake review detection
Feed patterns into your own detection models.
Fields available
Everything below comes back typed and validated against your schema.
venue_name
Property or attraction name
category
Hotel, restaurant or attraction
rating
Average rating
review_count
Number of reviews
ranking
Rank within its city category
price_band
Reported price level
reviews
Review text, rating, language and date
amenities
Listed features
One call, no selectors
curl -X POST https://app.irmu.com/api/extract \
-H "Authorization: Bearer irmu_sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.tripadvisor.com/Hotels-g189158-Lisbon-Hotels.html",
"schema": {
"venue_name": "string",
"category": "string",
"rating": "string",
"review_count": "string",
"ranking": "string",
"price_band": "string"
}
}'Validated JSON
{
"data": {
"venue_name": "Hotel Baixa",
"rating": 4.5,
"review_count": 3120,
"ranking": "12 of 480 hotels in Lisbon"
},
"credits_used": 18,
"status": 200
}Copy, paste, ship
import requests
res = requests.post(
"https://app.irmu.com/api/extract",
headers={"Authorization": "Bearer irmu_sk_live_..."},
json={
"url": "https://www.tripadvisor.com/Hotels-g189158-Lisbon-Hotels.html",
"schema": {
"venue_name": "string",
"category": "string",
"rating": "string",
"review_count": "string"
},
},
)
data = res.json()["data"]
print(data)Simple credits
Per venue page
18 credits
Failed requests are retried automatically and never billed.
See full pricing →Tripadvisor API questions
Start extracting Tripadvisor data today
1,000 free credits every month. No card, no sales call.