Turn any TripAdvisor category and destination into a clean dataset. We extract hotels, restaurants, and attractions with names, addresses, phones, websites, ratings, price levels, and rankings — delivered as CSV, Excel, or Google Sheets.
Pick a category and a destination — we return the full, structured list for it.
Every property in a destination, with class, ranking, and contact details.
Dining across a city, by cuisine and rank, with reviews and contacts.
Things to do — tours, sights, and activities with ratings and rank.
Hotels, restaurants, attractions — with ratings, rankings, and contact details. No export button.
TripAdvisor is one of the largest sources of hospitality and travel data on the web — hotels, restaurants, and attractions worldwide, each with ratings, review counts, rankings, price levels, and contact details. For travel businesses, market analysts, and hospitality lead generation, it's a goldmine. But there's no export, and it's a demanding site to scrape at scale.
Our TripAdvisor scraping service handles it. You send the category (hotels, restaurants, attractions) and the destinations; we return a clean, deduplicated file with each listing's name, type, address, phone, website, rating, review count, price level, and ranking — public business data, structured and ready to use.
From a single city to a whole region, the output is the same: usable rows you can drop into a CRM, a market model, or an outreach tool. We handle the pagination, proxies, and cleanup — you skip the blocks.
A 4.5 rating means little without context. TripAdvisor's ranking — "#3 of 210 hotels" — tells you how a place actually stacks up in its market. We capture both, so you can sort a destination by competitive position, not just star average.
That makes the dataset useful for benchmarking, competitor mapping, and spotting the strongest (or weakest) players in a market at a glance.
Every public business field on a TripAdvisor listing.
| Name | Type | Rating | Reviews | Rank |
|---|---|---|---|---|
| The Bayfront Hotel | Hotel | 4.6 | 2,043 | #3 of 210 |
| Ocean Breeze Resort | Hotel | 4.4 | 1,510 | #8 of 210 |
| Little Havana Grill | Restaurant | 4.7 | 3,880 | #5 of 4,120 |
| Sunset Rooftop Bar | Restaurant | 4.5 | 2,214 | #22 of 4,120 |
Send the category (hotels / restaurants / attractions) and the destinations.
Our scraper walks every listing across pagination and locations, capturing public fields.
Duplicates removed, phones and URLs normalized, empty listings dropped.
A ready-to-use CSV, Excel, or Google Sheet — usually within 24–48 hours.
Build outreach lists of hotels or restaurants in a market, with phone and website.
Map ratings, rankings, and density across destinations before you launch or invest.
Feed structured hotel and restaurant data into booking, supply, or partnership pipelines.
Compare ratings and review volume across a market or brand portfolio.
Analyze a city's hospitality landscape by category and price level.
Enrich an existing hospitality list with ratings, rankings, and contacts.
TripAdvisor is demanding to scrape. We manage proxies and anti-bot so the job finishes.
Scraped live the day we run it — not a resold, out-of-date database.
Deduplicated, normalized, and validated — no junk rows, no cleanup.
No tools, no proxies, no maintenance. Send the brief, get the file.
Name, type, address, phone, website, rating, review count, ranking, and price level — the public business data on each listing.
We focus on business data and ratings/counts. Full review text is copyrighted, so we scope any review-level request carefully with you.
Hotels, restaurants, and attractions, in any destination worldwide.
CSV, Excel (.xlsx), or a shared Google Sheet — deduplicated and ready to use.
We collect publicly visible business information and don't republish copyrighted review text. You are responsible for lawful use.
It depends on the number of listings and destinations. Most one-time datasets start around $49. Send your target for a quote.
Tell us your category and destination. We'll scrape a free 20-row TripAdvisor sample so you can check the quality first.