Zomato Email Scraper

Overview

This actor scrapes Zomato for email addresses based on search keywords and location. It's designed for lead generation, allowing you to extract contact details from Zomato listings.

Key Features

• Keyword-based search: Find emails associated with specific names or terms (e.g., "john", "marketing").
• Location filtering: Narrow results to a specific city or area.
• Domain filtering: Specify which email domains to collect (defaults to @gmail.com).
• Proxy support: Configure proxies to avoid rate limits during large scrapes.
• Structured output: Returns data in a consistent JSON format with source URLs.

Input Parameters

Configure the actor using the following input fields in JSON format:

{
  "keywords": ["example", "terms"],
  "location": "City Name",
  "platform": "Zomato",
  "customDomains": ["@gmail.com"],
  "proxyConfiguration": { "useApifyProxy": true }
}

• keywords (required): Array of search terms.
• location (optional): Geographic filter for listings.
• platform: Fixed as "Zomato".
• customDomains: Array of email domains to target.
• proxyConfiguration: Optional proxy settings for avoiding blocks.

Output Structure

The actor outputs an array of objects. Each result contains:
* keyword: The search term that produced this result.
* title: Name of the Zomato listing or business.
* description: Text snippet containing the found email.
* url: Source Zomato page URL.
* email: The extracted email address.

Example output:

[
  {
    "keyword": "john",
    "title": "John's Restaurant",
    "description": "Contact us at johnsrestaurant@gmail.com",
    "url": "https://www.zomato.com/johns-restaurant",
    "email": "johnsrestaurant@gmail.com"
  }
]

How to Use

1. Set your keywords and optional location in the input.
2. Adjust customDomains if you need emails other than @gmail.com.
3. For large runs, enable proxyConfiguration to prevent IP blocking.
4. Run the actor. Results can be downloaded as JSON, CSV, or Excel.
5. Use the data for outreach, CRM integration, or market research.

Common Use Cases

• Building contact lists for restaurant marketing.
• Finding decision-makers for partnerships or promotions.
• Aggregating restaurant owner emails for market analysis.
• Feeding contact data into email automation or CRM systems.