# How to Scrape TripAdvisor Reviews at Scale Without Coding in 2026 > Learn how to scrape TripAdvisor reviews at scale without coding. Step-by-step tutorial using Lobstr.io with filtering, scheduling, and Google Sheets export. - **Author**: Shehriar Awan - **Published**: 2026-02-09, updated 2026-02-05 (5 Feb 2026) - **Reading time**: 10 min - **Canonical**: https://www.lobstr.io/blog/scrape-tripadvisor-reviews --- ## 15-Second Summary This article explains how to __scrape TripAdvisor reviews at scale without coding__. It covers why __TripAdvisor's official API is useless__ (5 reviews per listing), why building your own scraper is a nightmare, and why ready-made no-code scrapers are the way to go. You'll see how to __scrape TripAdvisor reviews using Lobstr.io step by step__, including filtering by language, rating, and recency, plus how to automate exports to Google Sheets. It also covers the __legal side of scraping TripAdvisor__ and how to chain it with the TripAdvisor Restaurants Search Export for a complete workflow. --- So you finally made it here? 🙂 I know you've tried all those broken scripts on GitHub, workarounds with Chrome extensions, and dozens of TripAdvisor reviews scrapers that don't work at scale. ![15-Second Summary](https://d37gzvgyugjozl.cloudfront.net/image16_fa944b4b24.png "width=1295;height=775") Well, I have the solution you're looking for (as always 😉). In this article, I'll walk you through the step-by-step process of __scraping TripAdvisor reviews at scale__, affordably, and without any nerdy workarounds or coding. But why do you need to scrape them if you can get them from the official API? ## Why scrape TripAdvisor instead of using TripAdvisor's API? If you're here, you probably already know why you need TripAdvisor reviews. Competitor analysis, sentiment tracking, market research, reputation monitoring… I'm not gonna bore you with the obvious. The real question is: __why can't you just use the official API?__ ### Does TripAdvisor offer an official API for reviews collection? TripAdvisor does offer an official API called the [TripAdvisor Content API](https://tripadvisor-content-api.readme.io/reference/overview). Sounds promising until you see the limitation. __You only get 5 recent reviews per listing.__ ![Why scrape TripAdvisor instead of using TripAdvisor's API? - Does TripAdvisor offer an official API for reviews collection?](https://d37gzvgyugjozl.cloudfront.net/image19_f78aa4dba2.png "width=1288;height=504") If you're analyzing a hotel with 3,000 reviews, the official API gives you access to 0.16% of the data. Good luck drawing any meaningful insights from that. __That's exactly why you need a scraper.__ But is it even legal to scrape TripAdvisor reviews? ## Is it legal to scrape TripAdvisor reviews? > __Disclaimer__ > This section is for general informational purposes only. It's based on publicly available sources and practical interpretation, not legal advice. > Laws vary by country and change over time. If compliance, contracts, or platform risk matter to you, talk to a qualified legal professional. __Let me break this down into two parts:__ * Does TripAdvisor allow scraping? * Is it actually legal? ### Does TripAdvisor allow scraping? No. Their [Terms of Service](https://tripadvisor.mediaroom.com/us-terms-of-use) __explicitly prohibit it__. They ban the use of any robot, spider, AI system, or automated means to access, scrape, or collect any content from the platform. ![Is it legal to scrape TripAdvisor reviews? - Does TripAdvisor allow scraping?](https://d37gzvgyugjozl.cloudfront.net/image5_23d49cc026.png "width=1613;height=669") They also prohibit bypassing robot exclusion headers and doing anything that puts unreasonable load on their servers. TripAdvisor really doesn't want you scraping their data. __But does that make it illegal?__ ### Is it legal to scrape TripAdvisor reviews? __Absolutely yes! It’s generally legal.__ __TripAdvisor reviews are publicly accessible__. You don't need an account to read them. Anyone can view them in a browser. Courts have consistently ruled that __scraping publicly available data is legal__. Violating a Terms of Service is a civil matter (breach of contract), not a criminal offense. ![Is it legal to scrape TripAdvisor reviews? - Is it legal to scrape TripAdvisor reviews?](https://d37gzvgyugjozl.cloudfront.net/image7_c1cf9dfc11.png "width=1176;height=737") I've covered the legal landscape of web scraping in detail, including key court cases and regulations, in our legal series. 👉 [Is web scraping illegal?](https://www.lobstr.io/blog/category/legal) __But legal doesn't mean reckless__. You still need to: * Respect rate limits and not overload TripAdvisor's servers * Comply with GDPR if scraping data involving EU citizens * Avoid republishing reviews as your own content (that's copyright infringement) * Use the data responsibly with no harassment, impersonation, or shady stuff Scraping for internal analysis, sentiment tracking, market research? You're fine. Republishing scraped reviews on your own website? That's where you get into trouble. But how do I actually scrape TripAdvisor reviews at scale? ## 2 ways to scrape TripAdvisor reviews Practically, you've got two options: * Build your own scraper * Use a ready-made scraper ### Build your own scraper This one's for the nerds. People who enjoy mass destruction. Even if you're one of them, good luck. ![2 ways to scrape TripAdvisor reviews - Build your own scraper](https://d37gzvgyugjozl.cloudfront.net/image3_b1b4e023db.png "width=1885;height=745") __TripAdvisor doesn't like being scraped.__ They've got a consistently evolving anti-bot mechanism that'll drain your resources trying to keep up. __Painful, costly, and not sustainable at scale.__ > If you still want to go down this rabbit hole, ping me on [LinkedIn](https://pk.linkedin.com/in/shehriar-ahmad-awan) and I'll write a full tutorial on how to __scrape TripAdvisor reviews using Python__. ### Use a ready-made scraper This is what smart people do. ![2 ways to scrape TripAdvisor reviews - Use a ready-made scraper](https://d37gzvgyugjozl.cloudfront.net/image13_489b6dd74a.png "width=1351;height=859") Even in ready-made tools, you've got APIs and no-code options. Since this article focuses entirely on no-code, I'll skip the nerd stuff. I'll do a __full comparison of the best TripAdvisor reviews scrapers__ right after this article. For now, let me tell you about the absolute best i.e. Lobstr.io. ### Best TripAdvisor reviews scraper: Lobstr.io [Lobstr.io](https://Lobstr.io) is a no-code cloud scraping platform with __30+ ready-made scrapers__. One of them is the TripAdvisor Reviews Scraper. ![2 ways to scrape TripAdvisor reviews - Best TripAdvisor reviews scraper: Lobstr.io](https://d37gzvgyugjozl.cloudfront.net/image4_6cd01d030f.png "width=1561;height=702") [Scrape all reviews from any TripAdvisor listing at scale](https://www.lobstr.io/store/tripadvisor-reviews-scraper) #### Features * __50+ data points__ per review including review text, rating, travel details, helpful votes, and owner responses * __Full reviewer and place metadata __like user profile, contribution count, place rating, rating distribution, and review counts by language * __Dedicated TripAdvisor Restaurants Search Export__ for collecting listings with emails and phone numbers before scraping reviews * __Filter reviews__ by language, rating, and recency * Schedule recurring runs for review monitoring * Export to CSV, Google Sheets, Amazon S3, SFTP, or email * Cloud-based, no installation required * API access for developers * 3000+ integrations via Make.com #### Data ```md | review_id | title | text | rating | | subratings (Food, Value, Service, Atmosphere) | published_date | travel_date | trip_type | | helpful_votes | likes_count | status | lang | | original_language | url | photos | room_tip | | owner_response_id | owner_response_text | owner_response_lang | owner_response_published_date | | user_id | user_name | username | user_profile_link | | user_avatar_photo_sizes | user_location | user_location_name | user_total_contributions | | user_total_likes | user_helpful_votes | user_is_following | is_user_verified | | place_id | place_name | place_category | place_type | | place_city | place_state | place_web_url | place_rating | | place_total_reviews | place_rating_count_1 | place_rating_count_2 | place_rating_count_3 | | place_rating_count_4 | place_rating_count_5 | review_counts_by_language | place_parent_geo_id | | publish_platform | owner_connection_to_subject | is_local_provider | is_tools_provider | | scraping_time | functions | | | ``` #### Pricing ![2 ways to scrape TripAdvisor reviews - Pricing](https://d37gzvgyugjozl.cloudfront.net/image9_52c56a2f10.png "width=1137;height=671") * 100 reviews free every month * Starts at $2 per 1,000 reviews * Drops to __$0.5 per 1,000 reviews at scale__ ## How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] Scraping TripAdvisor reviews with Lobstr.io takes less than 2 minutes. Here's the process: 1. Create a Squid 2. Add tasks 3. Adjust behavior 4. Launch 5. Enjoy ### Step 1: Create a Squid A Squid is just a scraper instance. To create one: ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 1: Create a Squid](https://d37gzvgyugjozl.cloudfront.net/image8_351bc48c81.gif) * Log in to your Lobstr.io dashboard * Click the red "New Squid" button * Type "TripAdvisor" in the search bar * Select `TripAdvisor Reviews Scraper` That's it. Your Squid is ready to configure. ### Step 2: Add tasks A task is simply your input. In this case, __it's a TripAdvisor place URL__… could be a hotel, restaurant, attraction, whatever. You can add them one by one using the `Add+` button. Paste the URL, click add, done. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 2: Add tasks image10](https://d37gzvgyugjozl.cloudfront.net/image1_902467193c.gif) But if you've got hundreds or thousands of places to scrape reviews from, adding them manually is a waste of time. Just save all your URLs in a `TXT` or `CSV` file and upload it using the `Upload file` button. 👉 [How to upload a list of tasks?](https://lobstr.crisp.help/en/article/how-to-upload-a-list-of-tasks-iv9pu0/) __But where do I get hundreds of TripAdvisor listing URLs__ in the first place? Glad you asked. Here's what I personally do. I usually scrape restaurant reviews. And I hate manually browsing TripAdvisor and collecting listing URLs one by one. So I use Lobstr.io's `TripAdvisor Restaurants Search Export` instead. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 2: Add tasks image11](https://d37gzvgyugjozl.cloudfront.net/image2_2f65bd25fb.png) [Scrape all restaurant listings from any TripAdvisor search](https://www.lobstr.io/store/tripadvisor-restaurants-search-export) It collects all restaurant listings from a TripAdvisor search along with all the data about each restaurant… including phone and email. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 2: Add tasks image12](https://d37gzvgyugjozl.cloudfront.net/image14_8a3dd35349.png) Once that run finishes, I simply upload the output file to the TripAdvisor Reviews Scraper. It automatically extracts the listing URLs from the file. Once your tasks are added, click `Save` to move to the next step. ### Step 3: Adjust behavior __The `Settings` tab controls how your scraper behaves__. There are two sections here: Basic and Advanced. I'm not gonna bore you explaining every option including the unnecessary ones for this scraper. Let me cover the ones you'll actually use. #### Basic settings ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Basic settings](https://d37gzvgyugjozl.cloudfront.net/image10_7331671e04.png) __Review Language__… self-explanatory. It helps you filter reviews by language. __Filter by Rating__ helps you uncover the praises and the dirt. You can use it to see only the negative reviews or only the 5-star praise. __Reviews from Last X Hours__ lets you set a recency filter. You can use this to set a time limit so you only get fresh ones. #### Advanced settings Here you can choose __how many reviews you want to collect per listing__ (Max Results Per Task) or in total (Max Unique Results). ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Advanced settings image14](https://d37gzvgyugjozl.cloudfront.net/image15_d1be92684b.png) Plus you can decide how fast the scraper should run via Slots. __Increasing slots means increasing the number of bots__ deployed per run. Minimum and default is 1. __Max is 50 if you're on the Team plan__. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Advanced settings image15](https://d37gzvgyugjozl.cloudfront.net/image17_5eb6d79a4d.png) Once done, click `Save`. Next is the `Notifications` tab where you can choose to receive email alerts when a run completes or pauses due to an error. ### Step 4: Launch In the Launch tab, you've got two options: * Manually * Repeatedly __`Manually` means instant launch__. Keep it selected and click `Save & Extract`. The scraper starts collecting reviews immediately. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 4: Launch image16](https://d37gzvgyugjozl.cloudfront.net/image12_0d6c6744f1.png) __But what if you want to monitor reviews over time?__ That's where `Repeatedly` comes in. Switch to `Repeatedly` and set how often the scraper should run. You can schedule it to run every few minutes, hourly, daily, weekly, or monthly. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 4: Launch image17](https://d37gzvgyugjozl.cloudfront.net/image11_cfc8ab7036.gif) Pair this with the "Reviews from Last X Hours" filter and you've got yourself an automated review monitoring system. ### Step 5: Enjoy Once a run finishes, click the `Download` button to__ export your results as a CSV file__. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 5: Enjoy image18](https://d37gzvgyugjozl.cloudfront.net/image18_0acb9ac974.gif) Open it in Excel, Google Sheets, whatever you prefer. But downloading files manually every time? I don’t like doing it. __Lobstr.io lets you automate delivery__. Click the `Delivery` icon in the top right corner and set up your preferred export method. ![How to scrape TripAdvisor reviews using Lobstr.io [Step by Step Guide] - Step 5: Enjoy image19](https://d37gzvgyugjozl.cloudfront.net/image6_95836ceead.gif) __Google Sheets is my personal favorite.__ You can also use SFTP, Amazon S3, or simply add an email address and receive a CSV file right in your mailbox after every run. 👉 [How to export data to Google Sheets?](https://lobstr.crisp.help/en/article/how-to-export-data-to-googlesheet-q9onsm/) And if you want to plug this data into your CRM or any other tool, Lobstr.io's official Make.com integration __connects you to 3000+ apps__. ## What can you do with scraped TripAdvisor reviews? You've got the reviews. Now what? You can use Lobstr.io's official[ Make.com integration](https://www.make.com/en/integrations/lobstr) or the API to automate this entire workflow. Chain the TripAdvisor Reviews Scraper with TripAdvisor Restaurants Search Export and an AI agent to build a complete __Reputation Management system__. You've got all the business data including contact details for lead generation. You've got reviews data for finding problems, opportunities, patterns. All thanks to Lobstr.io. All you need is an __AI agent that can understand this data__ and give you actionable insights. > If you want me to build a complete agent to do exactly that, ping me on[ LinkedIn](https://pk.linkedin.com/in/shehriar-ahmad-awan). ## Conclusion That's a wrap on __how to scrape TripAdvisor reviews at scale__ without coding or dealing with broken tools. If you want me to cover a related topic or do a full comparison of TripAdvisor scrapers, ping me on[ LinkedIn](https://pk.linkedin.com/in/shehriar-ahmad-awan). --- ## Scrapers in this article - [TripAdvisor Restaurants Search Export](https://www.lobstr.io/store/tripadvisor-restaurants-search-export): Scrape all restaurants from a TripAdvisor Search URL! @mail and #phone included. (1 credit per result) - [TripAdvisor Reviews Scraper](https://www.lobstr.io/store/tripadvisor-reviews-scraper): Collect all reviews with 47 data attributes from any TripAdvisor place. All place URLs accepted. (1 credit per result) ## Related articles - [How to scrape @mails of Restaurants in Paris on TripAdvisor?](https://www.lobstr.io/blog/how-to-scraping-mails-restaurants-in-paris-on-tripadvisor) Tags: No Code, TripAdvisor, Tutorials _Canonical HTML: https://www.lobstr.io/blog/scrape-tripadvisor-reviews_ More for agents: https://www.lobstr.io/llms.txt, pricing in Markdown: https://www.lobstr.io/pricing.md