We benchmarked 4 web scraping providers on Tripadvisor review pages with 2,000 total requests, measuring success rate, completion time, and data extraction quality.
Tripadvisor reviews benchmark
You can read more about our Tripadvisor benchmark methodology.
Pros and cons and benchmark results of the best Tripadvisor scrapers
Oxylabs led on Tripadvisor with a 91% success rate and the fastest completion time at 7s per request. Reviews were parsed from rendered HTML using CSS selectors. It handled the largest share of test URLs without failure, and the low latency makes it a practical option for high-volume Tripadvisor scraping where speed matters.
Decodo completed Tripadvisor at a 76% success rate and 16s average completion time. While it handled the majority of URLs, some pages did not render fully enough for the CSS selectors to match, which accounted for most of the failures. Its completion time was comparable to Zyte, making it a reasonable alternative where a slightly lower success rate is acceptable.
SerpAPI offers a dedicated Tripadvisor Search Engine Results API that returns structured JSON from Tripadvisor search pages, including listings for hotels, restaurants, and attractions. The API is purpose-built for search pages rather than individual review extraction, making it a different fit from the review scraping APIs tested in this benchmark. For users who primarily need search result data from Tripadvisor alongside other search engines, SerpAPI provides a unified structured interface without requiring HTML parsing.
Zyte came in at 86% success on Tripadvisor, averaging 15s per request. It delivered stable results throughout the test with no major gaps across the URL set. Like all providers on this domain, extraction relied on CSS selector parsing of browser-rendered HTML. The consistent performance across different page types and review counts suggests reliable rendering under varied conditions.
Nimble finished at 73% on Tripadvisor with the slowest average completion time at 38s. The gap in both speed and success rate compared to the other three providers points to differences in how its rendering engine processes Tripadvisor’s dynamic page structure. Pages with longer review threads or heavy JavaScript appeared to cause the most extraction failures.
How does Tripadvisor compare to other review platforms for scraping?
Tripadvisor sits in the middle of the difficulty scale among the platforms in our reviews scraping benchmark. The highest success rate on Tripadvisor was 91%, which falls between the results we saw in our Amazon review scraping benchmark (96%) and and our Yelp review scraping benchmark (77%) at the lower end.
Unlike Amazon and Trustpilot, where some providers offer structured JSON APIs that return parsed review data with 10-39 fields, no provider returned structured JSON for Tripadvisor in our benchmark. All extraction relied on HTML rendering and CSS selector parsing.
Tripadvisor was more accessible than Yelp and Google Maps. Every provider in this benchmark extracted at least some data from Tripadvisor, which was not the case which was not the case on Yelp or Google Maps, where multiple providers recorded 0% success rates.
What review fields can you extract from Tripadvisor?
All four providers in this benchmark returned rendered HTML, which we parsed using CSS selectors to extract the following fields per review:
- Reviewer name: The display name of the reviewer
- Rating: Star rating (1-5), extracted from the rating element’s class or aria-label
- Review text: The full review body
- Review date: When the review was posted
- Review title: The headline of the review
Tripadvisor review pages also display additional data that can be extracted with more advanced selectors or dedicated APIs, including trip type (family, couples, solo, business), visit date, reviewer location, helpful vote count, management responses, and attached photos. None of the providers in this benchmark returned these as structured fields, since all relied on HTML parsing with a standard selector set.
Tripadvisor reviews benchmark methodology
We ran 500 Tripadvisor review page URLs through 4 web scraping providers, producing 2,000 total requests. Providers were selected from web scraping companies with at least 100 employees. Each provider received an identical URL set, and we evaluated three metrics: success rate, completion time, and available metadata fields.
All four providers returned rendered HTML on Tripadvisor, which we parsed using CSS selectors to extract five standard review fields: reviewer_name, review_text, rating, review_date, and review_title. No provider returned structured JSON for this domain.
Validation
Responses were validated in three stages:
- Submission: The provider had to return an HTTP status code between 200-399, or 404.
- Execution: For providers with asynchronous processing, the job had to finish without timeout or error.
- Data check: The response had to include extractable review data, meaning at least one CSS selector had to return review content.
We pre-tested each provider with broken URLs, known 404 pages, and pages with no reviews to understand how they report these cases. When a provider correctly signaled a missing or empty page, the result was counted as valid.
A cross-provider check was then applied: if one provider returned no data on a URL where another provider successfully extracted reviews, that empty result was marked as a failure. This allowed us to separate pages with no reviews from cases where the provider failed to extract available data.
Completion time
We measured wall-clock time from the initial request to the final response, including any rendering or queue time.
URL selection
The 500 URLs were drawn from Tripadvisor attraction and restaurant review pages across a range of review counts and location types. Invalid formats and duplicates were removed before testing.
Provider configurations
Oxylabs used its Web Unblocker proxy, which returns rendered HTML. Review data was extracted using CSS selectors.
Zyte used its Extract API with browserHtml enabled, rendering pages through a headless browser. Review data was extracted from the returned HTML using CSS selectors.
Decodo used its web unblocker proxy with the X-SU-Headless header for JavaScript rendering. Review data was extracted from the returned HTML using CSS selectors.
Nimble used its Web API with render: true, which processes pages through a headless browser. Review data was extracted from the returned HTML using CSS selectors.
Test conditions
All providers operated under the same constraints:
- One request at a time, no parallel execution
- 2-second delay between requests
- HTTP 429 handled with 30-second backoff and up to 3 retries
- 300-second submission timeout
- 600-second execution timeout
- Single run per URL per provider
FAQ
Tripadvisor uses JavaScript rendering, CAPTCHAs, and request fingerprinting to detect automated access. All four providers in our benchmark used headless browser rendering to handle these protections. Adding delays between requests and handling HTTP 429 responses with retries helps maintain stable extraction.
Yes, Tripadvisor displays reviews in their original language by default. The same URLs and provider configurations work across all languages. Some reviews include a translated version which can also be extracted if the translation element is rendered on the page.
Both use a similar page structure with the same review card format. The CSS selectors used in this benchmark worked across hotel, restaurant, and attraction review pages without modification. The main difference is that hotel reviews may include sub-ratings (cleanliness, service, location, value) which require additional selectors to extract.
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