How to Scrape TripAdvisor Reviews at Scale Without Coding in 2026

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.

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?

You only get 5 recent reviews per listing.

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?

Let me break this down into two parts:

1. Does TripAdvisor allow scraping?
2. Is it actually legal?

Does TripAdvisor allow scraping?

They ban the use of any robot, spider, AI system, or automated means to access, scrape, or collect any content from the platform.

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.

I've covered the legal landscape of web scraping in detail, including key court cases and regulations, in our legal series.

But legal doesn't mean reckless. You still need to:

1. Respect rate limits and not overload TripAdvisor's servers
2. Comply with GDPR if scraping data involving EU citizens
3. Avoid republishing reviews as your own content (that's copyright infringement)
4. 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:

1. Build your own scraper
2. 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.

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.

Use a ready-made scraper

This is what smart people do.

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

Features

1. 50+ data points per review including review text, rating, travel details, helpful votes, and owner responses
2. Full reviewer and place metadata like user profile, contribution count, place rating, rating distribution, and review counts by language
3. Dedicated TripAdvisor Restaurants Search Export for collecting listings with emails and phone numbers before scraping reviews
4. Filter reviews by language, rating, and recency
5. Schedule recurring runs for review monitoring
6. Export to CSV, Google Sheets, Amazon S3, SFTP, or email
7. Cloud-based, no installation required
8. API access for developers
9. 3000+ integrations via Make.com

Data

| 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 | | |
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Pricing

1. 100 reviews free every month
2. Starts at $2 per 1,000 reviews
3. 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:

1. Log in to your Lobstr.io dashboard
2. Click the red "New Squid" button
3. Type "TripAdvisor" in the search bar
4. 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.

But if you've got hundreds or thousands of places to scrape reviews from, adding them manually is a waste of time.

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.

It collects all restaurant listings from a TripAdvisor search along with all the data about each restaurant… including phone and email.

Once that run finishes, I simply upload the output file to the TripAdvisor Reviews Scraper. It automatically extracts the listing URLs from the file.

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

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).

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.

Step 4: Launch

In the Launch tab, you've got two options:

1. Manually
2. Repeatedly

But what if you want to monitor reviews over time?

Pair this with the "Reviews from Last X Hours" filter and you've got yourself an automated review monitoring system.

Step 5: Enjoy

Open it in Excel, Google Sheets, whatever you prefer.

But downloading files manually every time? I don’t like doing it.

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.

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?

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.

Conclusion

That's a wrap on how to scrape TripAdvisor reviews at scale without coding or dealing with broken tools.