Reviews
tripadvisor.com/Reviews
Verified
Tripadvisor Reviews Scraper
Extract hotel and attraction reviews, traveler ratings, and detailed feedback from Tripadvisor.
- target
- tripadvisor.com/Reviews
- success rate
- 99.9%
- latency
- ~4ms
POST
/fetch/tripadvisor.com/ return_format
curl -X POST https://api.spider.cloud/fetch/tripadvisor.com/ \ -H "Authorization: Bearer $SPIDER_API_KEY" \ -H "Content-Type: application/json" \ -d '{}'
200 OK · cache hit · response shape
{
"url": "https://tripadvisor.com/",
"status": 200,
"data": {
"hotel_name": "string",
"rating": "string",
"review_title": "string",
"review_text": "string",
"reviewer": "string",
"date": "string",
"trip_type": "string",
"room_type": "string"
}
} # Tripadvisor Reviews Scraper
**Hotel name**: string
**Rating**: string
**Review title**: string
**Review text**: string
**Reviewer**: string
**Date**: string
**Trip type**: string
**Room type**: string
Quick start
Extract data in minutes.
Structured JSON from tripadvisor.com/Reviews with a single POST. Call it with no selectors and the model names the fields, or pass your own CSS to skip the AI.
tripadvisor-reviews-scraper.ts
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
stealth: 2,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.tripadvisor.com/Hotel_Review-g60763-d93450-Reviews-The_Peninsula_New_York-New_York_City_New_York.html");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close(); import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
stealth: 2,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.tripadvisor.com/Hotel_Review-g60763-d93450-Reviews-The_Peninsula_New_York-New_York_City_New_York.html");
await page.content(10000);
const data = await page.evaluate(`(() => {
const reviews = [];
document.querySelectorAll("[data-automation='reviewCard']").forEach(el => {
const title = el.querySelector("[data-automation='reviewTitle']")?.textContent?.trim();
const text = el.querySelector("[data-automation='reviewText']")?.textContent?.trim();
const rating = el.querySelector("[data-automation='reviewBubbleScore']")?.getAttribute("class");
const date = el.querySelector("[data-automation='reviewDate']")?.textContent?.trim();
if (title) reviews.push({ title, text: text?.slice(0, 300), rating, date });
});
return JSON.stringify({ total: reviews.length, reviews: reviews.slice(0, 10) });
})()`);
console.log(JSON.parse(data));
await spider.close(); curl -X POST https://api.spider.cloud/fetch/tripadvisor.com/ \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{}' import requests
resp = requests.post(
"https://api.spider.cloud/fetch/tripadvisor.com/",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={},
)
print(resp.json()) const resp = await fetch("https://api.spider.cloud/fetch/tripadvisor.com/", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({}),
});
const data = await resp.json();
console.log(data); ready to run · spider-browser · no selectors
Extraction
Fields you can pull.
Hotel nameRatingReview titleReview textReviewerDateTrip typeRoom type
Listings
Business intelligence
Extract ratings, reviews, and contact info from tripadvisor.com/Reviews listings.
Pagination
Review collection
Navigate through paginated reviews with scroll-based lazy loading.
Geo
Location targeting
Access location-specific results with geo-targeted residential proxies.
Related
More Reviews scrapers.
Start
Start scraping tripadvisor.com/Reviews.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.