Zomato Email Scraper - Domain Filter & Deduplication

Zomato Email Scraper

Zomato Email Scraper helps you collect publicly available email addresses from Zomato using keywords and filters you choose. It’s a practical Zomato email extractor and Zomato lead generation tool for marketers, analysts, and researchers who want faster business contact extraction without manual browsing. 🚀

What Does Zomato Email Scraper Do? 🤖

Zomato Email Scraper scrapes public Zomato pages using your keywords, optional location targeting, and email-domain filters to find relevant contacts. During a run, it collects profile titles, descriptions, URLs, and matching email addresses, then exports the results to your Apify dataset in a structured format. This makes Zomato data extraction much easier than manually checking listings one by one. It’s useful for Zomato contact scraper workflows, restaurant email scraper tasks, and broader restaurant directory scraper projects. ✅

What Can Zomato Email Scraper Extract? 📊

This actor captures a focused set of fields designed for lead generation and research. Each row represents a scraped lead from Zomato, with the keyword that surfaced it, the profile title, supporting description text, the page URL, and the email address found in publicly available data. Great for Zomato leads extraction and local business email scraper use cases. 📧

Data Type	Field Name	Description
Discovery	keyword	The keyword that led to this result
Identity	title	The page title or profile name
Context	description	The visible description text associated with the result
Navigation	url	Direct link to the Zomato page
Contact	email	Email address found in the public page content

Key Features of Zomato Email Scraper ⚡

• ✅ Keyword-Driven Search: Use your own keywords to focus on the most relevant Zomato listing scraper results and improve lead quality.
• 📍 Location Targeting: Add a location filter to narrow results to a specific city, region, or market.
• 📧 Custom Domain Filtering: Limit results to selected email domains such as @gmail.com or @yahoo.com for more targeted outreach.
• 🔄 Built-In Proxy Support: Designed for reliable scraping of publicly available sources with built-in proxy support for steadier runs.
• 📊 Structured Dataset Output: Every result is saved in a clean dataset that’s easy to review, export, or analyze.
• 💾 Progress Saving: The actor saves progress during the run so you can resume more easily if a run is interrupted.
• ⚙️ Configurable Limits: Set maxEmails to control how many emails you want collected per run and manage scraping time.
• 🚀 Scalable Automation: Built for web scraping tools workflows that need repeatable, keyword-based data collection at scale.

How to Use Zomato Email Scraper 🚀

1. Open the Actor — Find Zomato Email Scraper in Apify Store.
2. Add Keywords — Enter one or more keywords to guide the search.
3. Set Optional Filters — Add a location and custom email domains if you want tighter results.
4. Choose a Limit — Set maxEmails to control how many results the actor should collect.
5. Run the Actor — Start the task and monitor live logs in the Apify Console.
6. Review Results — Open the Dataset tab to inspect and export the scraped leads.
7. Reuse the Data — Import the output into your CRM, spreadsheet, or lead generation workflow.

No coding required.

Zomato Email Scraper Output Format 📦

The actor saves results to your Apify dataset in structured JSON format, ready for export or downstream analysis.

⬇️ Input Example

{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}

Parameter	Type	Required	Default	Description
keywords	Array	✅ Yes	["manager", "founder"]	A list of keywords or queries to search for.
location	String	No	""	Location to filter search results.
customDomains	Array	No	["@gmail.com", "@yahoo.com"]	List of custom email domains to match in the extracted results.
maxEmails	Integer	No	20	Maximum number of emails to collect before the actor stops.

⬆️ Output Example

[
  {
    "keyword": "restaurant manager",
    "title": "Cafe Delhi Heights",
    "description": "Casual dining restaurant serving Indian and continental dishes",
    "url": "https://www.zomato.com/ncr/cafe-delhi-heights-saket",
    "email": "contact@cafedelhiheights.com"
  }
]

Field	Label	Format	Description
keyword	Keyword	text	The keyword that produced the result.
title	Title	text	The page title or profile name.
description	Description	text	The visible description text for the result.
url	Url	link	Direct URL to the Zomato page.
email	Email	text	Publicly available email address found in the result.

🎯 Use Cases of Zomato Email Scraper

B2B Lead Generation: Build targeted lists of restaurant and hospitality contacts from Zomato profiles for outreach campaigns, partnerships, and sales prospecting.

Email Marketing Campaigns: Collect relevant contact details for newsletters, promotions, and segmented email outreach in the restaurant niche.

Market Research: Use Zomato data extraction to study businesses, locations, and keyword patterns across different regions and categories.

CRM Enrichment: Add public contact details from Zomato to existing records for richer customer profiles and stronger business contact extraction.

Local Business Prospecting: Find restaurant owners, managers, and decision-makers faster with a restaurant email scraper that reduces manual work. 🔎

How Much Will Zomato Email Scraper Cost You? 💰

This actor uses Apify’s standard pay-per-use model, so your cost depends on the run and the amount of data collected. For larger jobs, use maxEmails to cap the number of results and keep spending predictable. If you’re testing Zomato automation workflows, start small, then scale up as needed. You can also monitor usage in the Apify Console while the run is in progress.

Is It Legal to Scrape Zomato? ⚖️

This actor works with publicly available data only, meaning it does not require private access or hidden accounts. Scraping public web data is generally lawful, but you are responsible for following applicable laws and Zomato’s terms, including privacy and anti-spam rules where relevant. Use the results for legitimate research, marketing, or lead generation purposes. For questions or requests, contact insightflowofficial@gmail.com.

Zomato Email Scraper Input Parameters 📋

{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}

Parameter	Type	Required	Default	Description
keywords	Array	✅ Yes	["manager", "founder"]	A list of keywords or queries to search for.
location	String	No	""	Location to filter search results.
customDomains	Array	No	["@gmail.com", "@yahoo.com"]	Email domains you want the actor to match while collecting leads.
maxEmails	Integer	No	20	Maximum number of emails to collect. The actor stops once this limit is reached.

During the Actor Run ⏱️

You’ll see live logs in the Apify Console while the actor runs, including progress updates as it processes your keywords and filters. Results are saved incrementally, so you can inspect the dataset before the run finishes. Run duration depends on how broad your keywords are and how many emails you allow with maxEmails. If results are limited, try broader terms, more domains, or a wider location scope. 🔁

Final Note ✉️

Start collecting Zomato emails in minutes with the Zomato Email Scraper — a simple, scalable way to automate restaurant lead generation and public contact extraction. Questions or feedback? Reach out at insightflowofficial@gmail.com.

FAQ — Zomato Email Scraper ❓

How does the Zomato Email Scraper find emails?

It uses your keywords and filters to surface public Zomato pages, then extracts email addresses that are openly visible in the page content. It does not guess emails or fill in missing contact details.

What types of Zomato profiles can I scrape?

You can scrape public Zomato pages that include visible contact information in the accessible page content. If a page does not show an email, it will not produce one.

What makes the Zomato Email Scraper useful for lead generation?

It speeds up business contact extraction by turning a manual search process into a repeatable workflow. That makes it especially helpful for marketers, researchers, and anyone building restaurant or local business lead lists.

Can I use this actor as a restaurant email scraper?

Yes. It’s well suited for restaurant email scraper tasks, especially when you want to find contacts from public Zomato pages using keywords and optional location filtering.

How much does it cost to use the Zomato Email Scraper?

Costs depend on your Apify usage and the size of the run. Use maxEmails to set a clear cap and keep each run aligned with your budget.

How do I get better results from Zomato data extraction?

Use more specific keywords, try related terms, add relevant email domains, and adjust the location filter if needed. Broader inputs often help when your first run returns fewer results than expected.

Is the Zomato Email Scraper good for Zomato automation?

Yes. It’s designed for repeatable Zomato automation workflows where you need structured, exportable data without manual searching.

What if I need help or want a custom feature?

If you need support, feedback, or a tailored solution, contact insightflowofficial@gmail.com.

🆘 Support & Feedback

Found a bug, have a question, or need a custom feature for the Zomato Email Scraper?

• 🐞 Bug Reports: Share the issue with our team so we can investigate it
• ✨ Feature Requests: Send ideas for new filters, output improvements, or workflow enhancements
• 📧 Email: insightflowofficial@gmail.com

MX Lookup

Every address is checked at the DNS level: the actor resolves the mail domain's MX records and reports what it found.

Field	Meaning
mxFound	true when the domain publishes at least one mail server
mxHost	The lowest-preference (primary) mail server
mxRecords	Every MX record found, in preference order
mxProvider	Who runs the mail: Google Workspace, Microsoft 365, Zoho, Proton, ...
mxStatus	found, no_records, no_such_domain, timeout, error, or skipped

Inputs

• MX Lookup - turn the check on or off (default: on).
• Only keep contacts whose domain has an MX record - drop unreachable domains. Only a definite negative (no_records / no_such_domain) drops a contact; a timeout or resolver error is treated as unknown and the lead is kept.
• MX lookup timeout (seconds) - per-domain DNS budget, 1-15s.

This is a domain-level check. It confirms the domain can receive mail; it does not verify that an individual mailbox exists.