# TripAdvisor Email Scraper - Business Emails & Phones (`jurassic_jove/tripadvisor-email-scraper`) Actor

Extract verified emails, phones & social links from TripAdvisor restaurants, hotels & attractions at $0.05/lead. The only TripAdvisor scraper with email enrichment for B2B lead generation and cold outreach.

- **URL**: https://apify.com/jurassic\_jove/tripadvisor-email-scraper.md
- **Developed by:** [Data Runner](https://apify.com/jurassic_jove) (community)
- **Categories:** Automation, Lead generation, Travel
- **Stats:** 15 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 lead scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## TripAdvisor Email Scraper 📧🏨

Extract **verified business emails, phone numbers, and social media links** from TripAdvisor restaurants, hotels, and attractions. The only TripAdvisor scraper that visits each business website to find real contact information.

### Why this scraper?

Other TripAdvisor scrapers only extract what's visible on TripAdvisor pages. **This scraper goes further** — it visits each business's actual website to extract:

- ✅ **Email addresses** (from contact pages, footers, mailto: links)
- ✅ **Phone numbers** (direct business lines)
- ✅ **Social media profiles** (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok)
- ✅ **Ratings & reviews** from TripAdvisor
- ✅ **Address, price range, cuisines** and more

### How it works

1. **Search** — Enter a business type and location (e.g., "Italian restaurants in Miami")
2. **Scrape** — The bot crawls TripAdvisor search results and detail pages
3. **Enrich** — For each business with a website, it extracts emails and social links
4. **Export** — Download your leads as CSV, JSON, or Excel

### Use cases

- 🎯 **Cold email outreach** — Build targeted prospect lists for hospitality businesses
- 📊 **Market research** — Analyze restaurant/hotel density, ratings, and pricing by area
- 🏢 **Agency lead gen** — Find restaurants and hotels that need marketing, web design, or POS systems
- 🔍 **Competitor analysis** — Track competitors' online presence and contact info

### Input example

```json
{
    "searchTerms": ["Italian restaurants"],
    "locations": ["Miami, FL", "Fort Lauderdale, FL"],
    "contentType": "restaurants",
    "maxResults": 100,
    "scrapeEmails": true,
    "scrapeSocials": true
}
```

### Output example

```json
{
    "name": "Carbone Miami",
    "category": "Restaurant",
    "address": "49 Collins Ave, Miami Beach, FL 33139",
    "phone": "(305) 555-0123",
    "website": "https://carbonemiami.com",
    "emails": ["info@carbonemiami.com", "events@carbonemiami.com"],
    "socialLinks": {
        "facebook": "https://facebook.com/carbonemiami",
        "instagram": "https://instagram.com/carbonemiami"
    },
    "rating": 4.5,
    "reviewCount": 1842,
    "priceRange": "$$$$",
    "cuisines": ["Italian", "Steakhouse"],
    "tripAdvisorUrl": "https://www.tripadvisor.com/Restaurant_Review-...",
    "source": "TripAdvisor"
}
```

### Pricing

- **$0.05 per lead** (pay only for results, includes email enrichment)
- **$0.01 actor start fee**
- 100 leads = **$5.01**
- 1,000 leads = **$50.01**

No monthly subscription. No minimum commitment.

### Tips for best results

- Use **specific locations** (city + state) for more accurate results
- Start with **50 results** to test, then scale up
- Enable **email extraction** for the highest-value leads
- Lower **concurrency** (1-3) if you experience blocks

### Integrations

Export your leads directly to:

- Google Sheets, Excel, CSV
- Zapier, Make (Integromat)
- Your CRM via API or webhooks
- N8n automation workflows

### FAQ

**Q: Does this extract data from TripAdvisor directly?**
A: Yes, it scrapes business listings from TripAdvisor search results and detail pages, then enriches the data by visiting each business website.

**Q: How is this different from other TripAdvisor scrapers?**
A: Other scrapers only extract what TripAdvisor shows. We visit each business's actual website to find emails and social links that aren't on TripAdvisor.

**Q: Will I get blocked?**
A: The scraper uses datacenter proxies and respectful delays. For large runs (500+), consider lowering concurrency.

### Related tools

- [Google Maps Lead Generator](https://apify.com/jurassic_jove/google-maps-lead-generator) — Extract emails from Google Maps businesses

# Actor input Schema

## `searchTerms` (type: `array`):

Business types to search for (e.g., 'Italian restaurants', 'luxury hotels', 'museums')

## `locations` (type: `array`):

Locations to search (e.g., 'Tampa, FL', 'New York', 'Miami Beach')

## `contentType` (type: `string`):

Type of TripAdvisor listings to scrape

## `maxResults` (type: `integer`):

Maximum number of businesses to extract (each result costs $0.05)

## `scrapeEmails` (type: `boolean`):

Visit each business website to extract email addresses

## `scrapeSocials` (type: `boolean`):

Extract social media profiles (Facebook, Instagram, Twitter, LinkedIn, etc.)

## `maxConcurrency` (type: `integer`):

Number of pages to scrape in parallel (lower = less blocking risk)

## Actor input object example

```json
{
  "searchTerms": [
    "restaurants"
  ],
  "locations": [
    "Tampa, FL"
  ],
  "contentType": "restaurants",
  "maxResults": 50,
  "scrapeEmails": true,
  "scrapeSocials": true,
  "maxConcurrency": 3
}
```

# 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 = {
    "searchTerms": [
        "restaurants"
    ],
    "locations": [
        "Tampa, FL"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jurassic_jove/tripadvisor-email-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 = {
    "searchTerms": ["restaurants"],
    "locations": ["Tampa, FL"],
}

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

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

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

```

## CLI example

```bash
echo '{
  "searchTerms": [
    "restaurants"
  ],
  "locations": [
    "Tampa, FL"
  ]
}' |
apify call jurassic_jove/tripadvisor-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jurassic_jove/tripadvisor-email-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1p9gHNaH5fJhlwVAT/builds/AX2JeccgUkVYjuxva/openapi.json