Tripadvisor: scrapers and the official API, compared

Route map

Each line is one way to get Tripadvisor data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Which route for which job

The catalogue Actors for Tripadvisor return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Field matrix: who returns what

Every tool with a published output schema, against the 6 fields most Tripadvisor jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Tripadvisor Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 10 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Travel teams use Tripadvisor data to compare destinations, research accommodation and track recurring themes in guest feedback. Place records support market comparisons; review records support closer analysis of what visitors describe.

Choose a place finder when you need hotels, restaurants or attractions by destination. Choose a review extractor when the work depends on guest comments, travel context or management replies.

Checklist

• Match the record type to the task. The Guest Review & Rating Extractor publishes review fields, while the Hotel, Restaurant & Attraction Finder covers places and reviews.
• Check pricing granularity. placePriceRange and priceRange are not dated booking quotes.
• Check how reviews link back to places. reviewUrl, url and placeId appear in different schemas, so confirm which identifiers your chosen tool returns.

Where the data is incomplete

The review extractor lists reviewTitle, reviewRating and travelDate. Confirm the output before planning sentiment or topic analysis.

A tool's modification date also does not tell you when a particular rating, review or price range was collected.

Official API route

Terms and personal data

Limit collection to public review data and check Tripadvisor's terms and attribution conditions before reuse. This is general information, not legal advice.

Read Tripadvisor's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open the recommended Tripadvisor tool and check whether its documented scope supports your chosen place or review task.
2. Use its documented input format to request a small collection for a destination or place, keeping any supported filters narrow.
3. Inspect the resulting dataset for place identity, review content and source links before exporting it or expanding the collection.

Call TripAdvisor Guest Review & Rating Extractor from code

The example input uses the Actor's published defaults; set your own Tripadvisor query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "startUrls": [
        "https://www.tripadvisor.com/Hotel_Review-g60763-d675616-Reviews-The_Plaza_New_York-New_York_City_New_York.html"
    ],
    "maxReviews": 5,
    "sortBy": "mostRecent",
    "ratingFilter": [],
    "tripTypeFilter": [],
    "monthFilter": [],
    "reviewLanguage": []
}

run = client.actor("vexaloom-labs/tripadvisor-guest-review-and-rating-extractor").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "startUrls": [
        "https://www.tripadvisor.com/Hotel_Review-g60763-d675616-Reviews-The_Plaza_New_York-New_York_City_New_York.html"
    ],
    "maxReviews": 5,
    "sortBy": "mostRecent",
    "ratingFilter": [],
    "tripTypeFilter": [],
    "monthFilter": [],
    "reviewLanguage": []
};

const run = await client.actor("vexaloom-labs/tripadvisor-guest-review-and-rating-extractor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~tripadvisor-guest-review-and-rating-extractor/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"startUrls":["https://www.tripadvisor.com/Hotel_Review-g60763-d675616-Reviews-The_Plaza_New_York-New_York_City_New_York.html"],"maxReviews":5,"sortBy":"mostRecent","ratingFilter":[],"tripTypeFilter":[],"monthFilter":[],"reviewLanguage":[]}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/tripadvisor-guest-review-and-rating-extractor",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Tripadvisor

• Topic groupLocal business data: every website compared
• ToolWhich Tripadvisor route fits your job?
• ToolTripadvisor cost by Apify plan, rows and runs

Related websites

• Booking.com3 Actors
• Expedia1 Actor
• Google Maps17 Actors

Sources

• TripAdvisor Guest Review & Rating Extractor on Apify Store
• TripAdvisor Hotel, Restaurant & Attraction Finder on Apify Store
• Tripadvisor Content API documentation
• Tripadvisor terms