# Tripadvisor Scraper \[Just 💰$0.41] (`blackfalcondata/tripadvisor-scraper`) Actor

Scrape Tripadvisor hotels, restaurants and attractions for any city or place ID. Every record has name, rating, review total and link; hotels and restaurants add street address and GPS coordinates. Optional detail pages add phone and rating breakdown.

- **URL**: https://apify.com/blackfalcondata/tripadvisor-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Travel, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.07 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does Tripadvisor Scraper do?

Tripadvisor Scraper extracts structured place data from [tripadvisor.com](https://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](https://console.apify.com/sign-up?fpr=1h3gvi) 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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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

```json
{
  "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](https://apify.com/blackfalcondata/tripadvisor-scraper?fpr=1h3gvi) 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](https://docs.apify.com/platform/actors/paid-actors/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](https://apify.com/integrations?fpr=1h3gvi) 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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) 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](https://apify.com/blackfalcondata/tripadvisor-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

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- [1188.lv Business Directory Scraper](https://apify.com/blackfalcondata/1188-lv-scraper?fpr=1h3gvi) — Scrape 1188.lv — Latvia's business directory. Search by keyword or city and get the phone number.
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### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — 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](https://apify.com/pricing?fpr=1h3gvi).

### 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

tripadvisor scraper, tripadvisor api, apify tripadvisor, tripadvisor data extraction, tripadvisor.com scraper, tripadvisor.com data, tripadvisor.com api.

# Changelog

This Actor's version history is a separate document: https://apify.com/blackfalcondata/tripadvisor-scraper/changelog.md

# Actor input Schema

## `query` (type: `string`):

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` (type: `string`):

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` (type: `integer`):

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.

## `startUrls` (type: `array`):

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.

## `includeDetails` (type: `boolean`):

Open each place's page for extra fields: rating histogram, sub-ratings, owner status, neighborhood, email and full address.

## `descriptionMaxLength` (type: `integer`):

Truncate description to N chars. 0 = no truncation.

## `compact` (type: `boolean`):

Core fields only (for AI-agent/MCP workflows).

## `descriptionFormat` (type: `string`):

Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `scrapeReviews` (type: `boolean`):

Deliver each place's reviews as separate dataset rows (recordType "review"), one row per review, after the place rows. Reviews are read newest first.

## `maxReviewsPerPlace` (type: `integer`):

Most reviews to collect for each place (for each language when several languages are set). Used with Scrape Reviews.

## `reviewRatings` (type: `array`):

Collect only reviews with these star ratings. Leave empty for every rating.

## `reviewsLanguages` (type: `array`):

Two-letter language codes (ISO 639-1, e.g. en, it, de). Each code gives its own pass over a place's reviews and includes Tripadvisor's machine translations into that language. Check originalLanguage and translationType on each review row to tell original text from translations. Leave empty for one unfiltered pass.

## `lastReviewDate` (type: `string`):

Stop collecting a place's reviews once they are older than this date. A date (YYYY-MM-DD, e.g. 2026-01-31) or a relative value such as "30 days", "2 weeks", "3 months" or "1 year". Leave empty for no cutoff.

## `scrapeReviewerInfo` (type: `boolean`):

Add the reviewer (name, profile, hometown, contribution counts) to each review row. Turn off to leave the user field empty.

## `includeReviewTags` (type: `boolean`):

Add reviewTags to each place row: the theme phrases Tripadvisor lists for its reviews (e.g. "pizza", "worth the wait"). Opens each place's page.

## `includeNearby` (type: `boolean`):

Add nearby to each place row: the restaurants, hotels and attractions Tripadvisor lists nearby, with rating, review count, award and distance. The distance unit is not stated by Tripadvisor for every list (values are consistent with miles; distances Tripadvisor shows with a unit are converted to miles). Opens each place's page.

## `incrementalMode` (type: `boolean`):

Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state.

## `stateKey` (type: `string`):

Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.

## `skipReposts` (type: `boolean`):

When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection).

## `emitUnchanged` (type: `boolean`):

When incremental mode is on, also emit listings whose content has not changed since the last run.

## `emitExpired` (type: `boolean`):

When incremental mode is on, also emit listings that were seen before but are no longer found.

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode.

## `notificationLimit` (type: `integer`):

Maximum number of listings included in each notification message (1–20).

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. api.slack.com/messaging/webhooks.

## `whatsappPhoneNumberId` (type: `string`):

Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024).

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}).

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `lat` (type: `number`):

GPS latitude. Pair with lon.

## `lon` (type: `number`):

GPS longitude. Pair with lat.

## `radiusKm` (type: `integer`):

Search radius in kilometres around the given coordinates.

## Actor input object example

```json
{
  "query": "restaurants",
  "location": "Boston",
  "maxResults": 100,
  "startUrls": [],
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "scrapeReviews": false,
  "maxReviewsPerPlace": 20,
  "reviewRatings": [],
  "reviewsLanguages": [],
  "scrapeReviewerInfo": true,
  "includeReviewTags": false,
  "includeNearby": false,
  "incrementalMode": false,
  "skipReposts": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "notifyOnlyChanges": false,
  "notificationLimit": 5
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "restaurants",
    "location": "Boston",
    "maxResults": 100,
    "descriptionFormat": "all",
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/tripadvisor-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "restaurants",
    "location": "Boston",
    "maxResults": 100,
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/tripadvisor-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "restaurants",
  "location": "Boston",
  "maxResults": 100,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/tripadvisor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/tripadvisor-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3GOXslitYVZGK29xU/builds/A361fEHdIAcViSzAb/openapi.json