TripAdvisor Reviews Scraper

Yes — it's entirely legal to scrape publicly accessible data. We only collect what's publicly visible on TripAdvisor without any login. For more details, see our guide on the legality of web scraping.

No login required. The tool works entirely from public place URLs — no account, no cookies, no session needed.

Yes — the place URL is enough. Provide a TripAdvisor place URL (hotel, restaurant, or attraction) and we'll fetch all available public reviews and business data from that location.

We collect 47 attributes per review, including review text, title, rating, subratings (Food, Service, Value, Atmosphere), publish date, travel date, trip type, user details, owner responses, photos, helpful votes, language breakdowns, and complete place information.

All available reviews from any TripAdvisor place — whether it's 50 reviews or 5,000+ reviews. We extract the complete review history with all associated data points and metadata.

Unlimited places with 1 credit = 1 review, processing up to 650+ reviews per minute. You can scrape as many locations as needed. Pricing starts at $2 / 1,000 reviews depending on your plan — try the simulator here.

Yes — owner responses are included automatically. We capture response text, response date, response language, and responder information whenever a business owner has replied to a review.

Yes — complete language breakdowns included. We extract review counts for each language (English, Turkish, German, French etc.) showing your international audience distribution.

Absolutely — filter by rating, language, and recency. You can collect only reviews with specific ratings, in specific languages, or published within the last X hours.

You can export data as CSV, Google Sheets, Amazon S3, SFTP, or receive via email. You can also integrate the scraper to 3000+ 3rd party apps using Make.com native integration.

URL, such as https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 6 settings shape the run: see them in the playground.

47 data attributes per review, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business. Then they can no longer be downloaded. Download or deliver what you want to keep.

Around 650 reviews a minute for one squid. Your plan's slots run several squids at the same time.

99.95% of its runs had no incident over the last 90 days (2 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. Over the last 90 days, the median time to fix this one was 20h 45min. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, exported in full.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business, then they can no longer be downloaded; you can delete them sooner. Your account data: see the privacy notice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.