Swiggy Email Scraper

Overview

This actor scrapes email addresses from Swiggy restaurant listings. It's designed for lead generation, allowing you to build contact lists by searching with keywords and filtering by location and email domain.

Key Features

• Keyword Search: Find listings by entering relevant keywords (e.g., "pizza", "catering").
• Location Filtering: Target specific cities or regions.
• Domain Filtering: Limit results to emails from specific domains like @gmail.com.
• Proxy Support: Built-in proxy configuration to handle larger scraping jobs and avoid IP blocks.

Input Parameters

Configure the actor using a JSON input. Here are the main parameters:

{
  "keywords": ["keyword1", "keyword2"],
  "location": "City Name",
  "customDomains": ["@domain.com"],
  "proxyConfiguration": { "useApifyProxy": true }
}

• keywords (required): An array of search terms.
• location (optional): A city or region to narrow results.
• customDomains (optional): An array of email domains to filter by.
• proxyConfiguration (optional): Enable Apify Proxy for smoother, larger-scale runs.

Output

The actor outputs an array of objects in JSON, CSV, or Excel formats. Each object contains the following fields:

[
  {
    "keyword": "pizza",
    "title": "Mario's Pizzeria",
    "description": "Contact us at orders@mariospizza.com for large orders.",
    "url": "https://www.swiggy.com/restaurants/marios-pizzeria-mumbai",
    "email": "orders@mariospizza.com"
  }
]

How to Use

1. Set Input: Provide your keywords and optionally set location, customDomains, and proxyConfiguration.
2. Run the Actor: Start the run. It will scrape Swiggy for listings matching your criteria and extract email addresses.
3. Get Results: Download the dataset in your preferred format once the run completes.

Typical Use Cases:
* Generating leads for restaurant partnerships or B2B sales.
* Conducting market research on Swiggy-listed businesses.
* Building contact lists for food-tech startups.