Wayfair Email Scraper

Wayfair Email Scraper

Wayfair Email Scraper – Extract Wayfair emails quickly & accurately! 🎯 Search by keywords, location & domain to find targeted contacts. Supports Wayfair listings ✅ Proxy support for uninterrupted scraping. 📊 Export in JSON, CSV, Excel – ideal for lead gen, e-commerce & market research! 🚀

LEAD_GENERATIONECOMMERCEAUTOMATIONApify

Wayfair Email Scraper - Fast, Accurate & Affordable ⚡️👌

Unlock the power of Wayfair email scraping with the Wayfair Email Scraper! Fast, Accurate & Affordable, this tool helps you collect Wayfair emails based on specified keywords—ideal for marketers, researchers, and businesses looking to expand their reach.


🔍 Key Features

  • Keyword-Based Search: Enter keywords like "john", "marketing", and more to find specific Wayfair email addresses.
  • Location Filtering: Refine results by specifying the location.
  • Platform Selection: Specifically scrapes Wayfair listings.
  • Custom Email Domains: Customize the email domains to be included in the search (default is @gmail.com).
  • Proxy Support: Use proxies to avoid rate-limiting issues and scrape seamlessly.

📚 Input Parameters

1{
2  "keywords": ["john", "marketing"],
3  "location": "New York",
4  "platform": "Wayfair",
5  "customDomains": ["@gmail.com"],
6  "proxyConfiguration": {
7    "useApifyProxy": true
8  }
9}

The Wayfair Email Scraper uses the following input parameters for customization:

  • keywords:

    • A list of keywords to search for (e.g., ["john", "marketing"]).
  • location:

    • Filter search results by location (optional).
  • platform:

    • Scrapes from Wayfair (this is the only available option).
  • customDomains:

    • A list of custom email domains to filter the results (e.g., @gmail.com).
  • proxyConfiguration:

    • Optional setting for configuring proxy usage.

📈 Output Structure

The output data is structured as follows:

  • keyword: The search keyword used.
  • title: The name of the business or listing associated with the email address.
  • description: A description containing the extracted email address.
  • url: The link to the Wayfair page where the email was found.
  • email: The extracted email address.

Example Output JSON

1[
2  {
3    "keyword": "john",
4    "title": "John's Furniture",
5    "description": "Contact us at johnfurniture@gmail.com",
6    "url": "https://www.wayfair.com/store/johns-furniture",
7    "email": "johnfurniture@gmail.com"
8  }
9]

🛠️ How to Use

  1. Input Keywords and Email Domains:

    • Enter the desired keywords (e.g., ["john", "marketing"]) and custom email domains.
  2. Run the Actor:

    • Click on Run to start the email scraping process from Wayfair.
  3. Enable Proxies (Optional):

    • If you need to scrape at a high volume, set up proxies to avoid rate-limiting issues.
  4. Download & Use the Data:

    • After scraping, you can download the results in formats like JSON, CSV, or Excel for outreach, marketing, or further analysis.

👩‍🎓 Best Use Cases

  • Lead Generation: Build a list of Wayfair emails for marketing and outreach.
  • E-Commerce Research: Identify key suppliers and retailers in the Wayfair marketplace.
  • Market Research: Gather contact details of furniture and home decor businesses.
  • Data Aggregation: Integrate Wayfair email data into your CRM or email marketing tool.

💬 Support & Feedback

Need help with the Wayfair Email Scraper or have feedback to improve it? We would love to hear from you! Contact us through our support channels for any questions or suggestions.

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!