Tripadvisor Scraper [Just 💰$0.41]

What does Tripadvisor Scraper do?

Tripadvisor Scraper extracts structured place data from tripadvisor.com — including contact details, prices, location data, and seller ratings. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (contact information) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ⭐ Ratings and review counts: rating, subRatings, reviewCount and ratingHistogram for every place that has them.
• 📍 Coordinates: latitude, longitude and distanceKm on each place that has a location, ready for a map.
• 🏘️ Address: address, neighborhood, postalCode and country as separate fields for every place that lists them.
• 📇 Contact details: contactLinks, telephone and email where the place publishes them.
• 🍽️ Cuisines and place types: placeType, cuisines, servesCuisine and accommodationType tell you what kind of place each place is.
• 💲 Price level: priceLevel, priceRange, priceFrom and priceRangeUsd show how expensive each place is.
• 🔍 Keyword search: search tripadvisor.com by keyword with the query input, in the place you name in location.
• 🧭 Radius search: search around a point with lat, lon and radiusKm.
• 🔗 Paste-mode: paste tripadvisor.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.

What data can you extract from tripadvisor.com?

Each result includes Core place fields (recordType, nearby, reviewTags, id, locationId, placeName, placeType, and placeUrl, and more), detail fields when enrichment is enabled (detailFetched, detailStatus, and description), and contact information (contactLinks, telephone, and email). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — What to list. Accepted values: "restaurants", "hotels" or "attractions" (anything else ends the run with a message and no results). Use a JSON array (e.g. ["restaurants","hotels"]) for several. Required if no Start URLs are provided.
• location — City, region or country to list places in (e.g. "Boston"), a Tripadvisor geo ID, or a Tripadvisor location URL. Required together with Category when no Start URLs are given. Use a JSON array for several locations.
• maxResults — Maximum total results (0 = unlimited). In incremental mode the actor watches the top-N ranked results (N = maxResults), so new places ranked beyond that window are not reported; raise maxResults for wider coverage. (default: 100)
• startUrls — Tripadvisor list pages to scrape directly, one task per URL (results are merged and deduped). Supported: Hotels, Restaurants and Attractions pages with a location, e.g. https://www.tripadvisor.com/Restaurants-g60745-Boston_Massachusetts.html. When at least one URL is recognized, Start URLs replace the Category/Location fields. (default: [])
• includeDetails — Open each place's page for extra fields: rating histogram, sub-ratings, owner status, neighborhood, email and full address. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• scrapeReviews — Deliver each place's reviews as separate dataset rows (recordType "review"), one row per review, after the place rows. Reviews are read newest first. (default: false)
• maxReviewsPerPlace — Most reviews to collect for each place (for each language when several languages are set). Used with Scrape Reviews. (default: 20)
• reviewRatings — Collect only reviews with these star ratings. Leave empty for every rating. (default: [])
• ...and 26 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "restaurants",
  "location": "Boston",
  "radiusKm": 25,
  "maxResults": 50
}

Incremental tracking — Only emit places that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "restaurants",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "restaurants-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "restaurants",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured place records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example place record

{
  "listingId": "10751e414bdae23beaebe8673c6f050eda05c1e348bfd81496780846aacabbf9",
  "searchQuery": "restaurants",
  "contentQuality": "serp_only",
  "detailFetched": false,
  "source": "tripadvisor.com",
  "contentId": "322981",
  "contentType": "restaurant",
  "name": "Regina Pizzeria",
  "url": "https://www.tripadvisor.com/Restaurant_Review-g60745-d322981-Reviews-Regina_Pizzeria-Boston_Massachusetts.html",
  "portalUrl": "https://www.tripadvisor.com/Restaurant_Review-g60745-d322981-Reviews-Regina_Pizzeria-Boston_Massachusetts.html",
  "routeUrl": "https://www.tripadvisor.com/Restaurant_Review-g60745-d322981-Reviews-Regina_Pizzeria-Boston_Massachusetts.html",
  "sourceLocation": {
    "input": "Boston",
    "geoId": 60745,
    "name": "Boston, Massachusetts, United States",
    "mode": "area"
  },
  "listPosition": 1,
  "rating": 4.5,
  "reviewCount": 3035,
  "primaryInfo": "$ • Italian • Pizza",
  "secondaryInfo": "Open now",
  "photoUrls": [
    "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/24/d5/07/ac/amazing-pizza-variety.jpg?w=1200&h=800&s=1"
  ],
  "badge": {
    "type": "TRAVELLER_CHOICE",
    "year": "2026"
  },
  "detailStatus": "not_requested",
  "scrapedAt": "2026-10-03T22:59:25.566Z",
  "tags": [
    "Italian",
    "Pizza",
    "Restaurants"
  ],
  "address": "11 1/2 Thacher Street, Boston, MA 02113-1539",
  "latitude": 42.365463,
  "longitude": -71.056755,
  "location": "Boston, Massachusetts, United States",
  "telephone": "+1 617-227-0765",
  "postalCode": "02113-1539",
  "country": "United States",
  "priceLevel": "$",
  "cuisines": [
    "Italian",
    "Pizza"
  ],
  "openStatus": "OPEN",
  "hasDelivery": true,
  "hasReservation": false
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape tripadvisor.com

1. Go to Tripadvisor Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract place data from tripadvisor.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed places on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape tripadvisor.com?

Tripadvisor Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.007 per run
• Per result: $0.00041 per place record

Example costs:

• 10 results: $0.011
• 25 results: $0.017
• 100 results: $0.048
• 200 results: $0.089
• 500 results: $0.21

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of places that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 places per run, daily polling (30 runs/month). Costs scale linearly with the number of places.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.11	$0.01	$0.10 (89%)	$0.36
15% — moderate broad query	$0.11	$0.02	$0.09 (80%)	$0.67
30% — high-volume aggregator	$0.11	$0.04	$0.07 (66%)	$1.13

Full re-scrape monthly cost at the same cadence: $3.29. First month with incremental costs $0.46 / $0.76 / $1.20 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from tripadvisor.com?

The number of results depends on the search query and available places on tripadvisor.com. Use the maxResults parameter to control how many results are returned per run.

Does Tripadvisor Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed places on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Tripadvisor Scraper with other apps?

Yes. Tripadvisor Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Tripadvisor Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Tripadvisor Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape tripadvisor.com?

This actor extracts publicly available data from tripadvisor.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on tripadvisor.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Tripadvisor's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Tripadvisor or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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