Tripadvisor Reviews Scraper avatar
Tripadvisor Reviews Scraper

Pricing

$2.00 / 1,000 reviews

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Tripadvisor Reviews Scraper

Tripadvisor Reviews Scraper

Developed by

Maximillian Copelli

Maintained by Apify

Get and download reviews for chosen places on Tripadvisor. Extract the review text, URL, rating, date of travel, published date, basic reviewer info, owner's response, helpful votes, images, review language, place details. Download reviews in XML, JSON, CSV.

4.3 (6)

Pricing

$2.00 / 1,000 reviews

80

Monthly users

413

Runs succeeded

>99%

Response time

8.5 hours

Last modified

6 days ago

Start URLs

startUrlsarrayOptional

Paste here a URL(s) of a specific place you want to get reviews from.

Limit reviews for each place

maxItemsPerQueryintegerOptional

Use a large value (for example 1 million) to get all reviews from each place. If you want to set a limit across all reviews use 'Options' -> 'Maximum charged results'

Scrape reviewer info

scrapeReviewerInfobooleanOptional

Scrape reviewer info (name, profile picture, location etc.). You should only extract reviewer's info if you have a legit reason to do so.

Default value of this property is true

Only reviews since date

lastReviewDatestringOptional

It is a date where the scraper stops loading older reviews. Select the date in format YYYY-MM-DD or {number} {unit} (e.g. '3 days' or '1 week')

Review ratings

reviewRatingsarrayOptional

Select and filter only the desired review ratings. For all ratings, select the 'All ratings' option. Useful if you want to scrape only reviews with certain ratings.

Default value of this property is ["ALL_REVIEW_RATINGS"]

Reviews languages

reviewsLanguagesarrayOptional

Select the desired reviews languages. Note: English reviews are prioritized over other languages, expect your reviews to first come in English and then in other languages.

Default value of this property is ["ALL_REVIEW_LANGUAGES"]

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$2.00