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URL: https://apify.com/jdtpnjtp/tripadvisor-reviews-bulk

โ‡ฑ TripAdvisor Reviews Scraper - Bulk Hotels, Restaurants ยท Apify


๐Ÿ‘ TripAdvisor Reviews Scraper - Bulk Hotels, Restaurants avatar

TripAdvisor Reviews Scraper - Bulk Hotels, Restaurants

Pricing

from $3.50 / 1,000 tripadvisor review row extracteds

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TripAdvisor Reviews Scraper - Bulk Hotels, Restaurants

Bulk-pull every review from any TripAdvisor hotel, restaurant or attraction. Hand a list of TripAdvisor location IDs or URLs (up to 200 per run) and get every individual review as its own dataset row - no subscription, $0.0008 per review.

Pricing

from $3.50 / 1,000 tripadvisor review row extracteds

Rating

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Developer

๐Ÿ‘ Data Forge

Data Forge

Maintained by Community

Actor stats

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Bookmarked

2

Total users

1

Monthly active users

a month ago

Last modified

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Pull every review from a list of TripAdvisor hotels, restaurants or attractions in one run. Hand the actor a batch of TripAdvisor location IDs or URLs, and get every individual review as its own clean dataset row - ready for CSV, Excel, sentiment analysis or a dashboard. No subscription, you only pay per review.


What this actor does

  • Bulk by design - up to 200 locations per run, up to 5000 reviews each.
  • IDs or URLs, mixed - paste numeric location_ids or full Hotel_Review / Restaurant_Review / Attraction_Review URLs; IDs are auto-extracted.
  • Real filters - language (or all languages), star rating, traveler type (families / couples / solo / business / friends), free-text keyword search, and sort order.
  • One flat row per review - rating, title, full text, reviewer, dates, trip type, helpful votes, photos. No nested objects to flatten.
  • You only pay for reviews - locations that fail get a single free diagnostic row; the run keeps going.

Input

FieldTypeRequiredDescription
locationsarrayYesUp to 200 TripAdvisor location_ids or review-page URLs (mixed).
maxReviewsPerLocationintegerNoCap per location (prefill 50; up to 10000).
languagestringNoReview language, or all for every language (default en).
sortstringNomost_relevant / newest / oldest / highest / lowest.
ratingFilterarrayNoKeep only chosen star ratings (1-5). Empty = all.
travelerTypestringNofamilies / couples / solo / business / friends.
textSearchstringNoKeep only reviews containing this text.
stopOnLocationErrorbooleanNoAbort the whole run on the first failing location (default off).

Example: { "locations": ["1218720", "https://www.tripadvisor.com/Restaurant_Review-g187147-d12947099-Reviews-Septime-Paris.html"], "maxReviewsPerLocation": 100, "language": "en", "sort": "most_relevant" }

Output

One row per review. Columns: location_id, location_input, review_id, rating, title, text, language, published_date, stay_date, trip_type, reviewer_name, reviewer_location, helpful_votes, photos. Diagnostic rows (a whole location failed) carry error_code + error_message instead. A run-summary OUTPUT record reports locations succeeded/failed, reviews pulled and the estimated cost. Live per-review pricing is shown on this actor's Apify Store page.

Why this actor

  • Reviews specialist - built for one job and does it at scale: thousands of reviews across hundreds of places in a single run.
  • Export-ready - flat columns render as a real table you can sort, filter and download as CSV/Excel/JSON in one click.
  • Honest billing - failed locations are free; you pay only for review rows actually delivered.
  • Mix IDs and URLs - no pre-processing; throw in whatever you have.

More TripAdvisor tools

Part of the USP Ultimate TripAdvisor suite - pick the actor that fits the job:

Prefer the raw API across all 21 TripAdvisor endpoints with your own key? See the USP Ultimate TripAdvisor API on RapidAPI.

Need help? Enterprise plans? Custom scraping?

I personally support every customer - drop a message on any channel.

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