Trivago Email Scraper

Trivago Email Scraper

Trivago Email Scraper – Collect verified Trivago emails fast with keyword & location filters! 🔍 Ideal for lead gen, outreach, travel research, and CRM import. Supports proxies & exports in CSV, JSON, Excel. Fast, Accurate & Affordable!

LEAD_GENERATIONTRAVELAUTOMATIONApify

Trivago Email Scraper - Fast, Accurate & Affordable ⚡️💼

Unlock the power of Trivago email scraping with the Trivago Email Scraper – your go-to solution for collecting emails from Trivago listings based on targeted keywords. Whether you're a digital marketer, lead generation specialist, or travel-tech business, this tool is Fast, Accurate & Affordable ⚡️👌.


🔍 Key Features

  • Keyword-Based Search: Search using custom keywords like john, marketing, or any other niche-specific term to extract Trivago email contacts.
  • Location Targeting: Filter results by city, region, or country for precise lead targeting.
  • Platform Selection: Exclusively designed to scrape Trivago listings.
  • Custom Email Domains: Choose which email domains to include (e.g., @gmail.com, @trivago.com).
  • Proxy Support: Integrated proxy settings to handle high-volume scraping safely and efficiently.

📚 Input Parameters

1{
2  "keywords": ["john", "marketing"],
3  "location": "New York",
4  "platform": "Trivago",
5  "customDomains": ["@gmail.com"],
6  "proxyConfiguration": {
7    "useApifyProxy": true
8  }
9}
  • keywords:
    A list of keywords to narrow down relevant listings (e.g., ["john", "marketing"]).

  • location:
    (Optional) Filter listings by location for geo-targeted scraping.

  • platform:
    Set to "Trivago" by default.

  • customDomains:
    Customize which email domains you'd like to extract (default: @gmail.com).

  • proxyConfiguration:
    Optional proxy settings for enhanced scraping performance and anonymity.


📈 Output Structure

The output data is returned in a structured format:

  • keyword: The search term used for filtering.
  • title: The listing or host title associated with the email.
  • description: Content or context in which the email was found.
  • url: Direct link to the Trivago listing page.
  • email: The extracted email address.

Example Output JSON

1[
2  {
3    "keyword": "john",
4    "title": "John's Travel Lodge",
5    "description": "Reach us at johntravelny@gmail.com for reservations.",
6    "url": "https://www.trivago.com/lodge/johns-travel-ny/123456",
7    "email": "johntravelny@gmail.com"
8  }
9]

🛠️ How to Use

  1. Set Up Your Keywords & Domains:

    • Define your target keywords and email domains.
  2. Launch the Actor:

    • Click Run to begin the Trivago email scraping.
  3. Configure Proxy (Optional):

    • Use Apify Proxy or your custom proxy to avoid blocks.
  4. Export Your Data:

    • Download your email leads in JSON, CSV, or Excel formats.

👨‍💼 Best Use Cases

  • Travel Lead Generation: Build targeted lists of Trivago email leads for hotel, lodge, and BnB listings.
  • Hospitality Outreach: Contact accommodation providers for collaboration or marketing.
  • Travel Market Research: Analyze contact data to explore trends and behaviors across regions.
  • CRM Integration: Import scraped emails directly into your outreach systems.

💬 Support & Feedback

Have any issues or suggestions for improving the Trivago Email Scraper? Reach out through our support channels – we’d love to help you get the most out of your scraping workflow!

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!