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TripAdvisor Restaurants Search Export
Scrape all restaurants from a TripAdvisor Search URL! @mail and #phone included.
Trusted worldwide by the best
Export restaurants from TripAdvisor — right now
Do not waste time on repetitive, error-prone and time-consuming tasks.
Get it done fast and perfect.
Extract Restaurants
Capture TripAdvisor restaurants — from any TripAdvisor Search URL, worldwide.
Find Emails
Automatically extract restaurant email addresses from their TripAdvisor pages.
Export
Seamlessly export data to CSV, Google Sheets or an S3 bucket.
Download
Download structured data in CSV, Excel or JSON format.
Built for Agents
Run it from your stack.
Or hand it to your agent.
TripAdvisor Restaurants Search Export ships with a Python SDK, a one-line CLI and a native MCP server your agents can plug into directly — no rate limits to dodge, no bot mitigation to bypass, no parsing errors to chase down.
# install once (Python 3.10+)
pip install lobstrio
# check your token
lobstr whoami
# find the scraper
lobstr crawlers search "TripAdvisor"
# one call — launch, wait, download
lobstr go tripadvisor-restaurants-search-export \
"<any TripAdvisor URL>" \
--param max_results=200 \
-o results.csv17 data attributes per restaurant
Every scrape returns structured data you can export as CSV, JSON, or via API.
Direct URL to the restaurant listing on TripAdvisor
Unique internal identifier for the restaurant on TripAdvisor
Name of the restaurant as listed on TripAdvisor
Average TripAdvisor rating out of 5
Total number of customer reviews on TripAdvisor
Price range indicator (e.g. $, $$, $$$)
Cuisine types and dining features listed on TripAdvisor
Full formatted address of the restaurant
Latitude coordinate of the restaurant
Longitude coordinate of the restaurant
Fast
20 restaurants per minute
Lightning-fast performance
Solid
99.95% task success rate
Dependable, reliable data every time
Cost-competitive
$0.5 per 1000 restaurants
Top affordability worldwide
Built to run.
Most scrapers break in silence. This one doesn't — and we show it, openly.
incident-free runs · last 90 days
Tracked from every run. Incidents stay on the record even after they're fixed.