Yelp Email Scraper

🔎 Yelp Email Scraper – Overview

Yelp Email Scraper is an Apify Actor designed to discover publicly available email addresses associated with Yelp-related search results. It lets you enter specific keywords, optionally narrow the search by location, choose the email domains you want to collect, and filter out unwanted profile descriptions.

The Yelp Email Scraper is useful for lead generation, local business research, outreach preparation, market research, prospect discovery, and building structured contact datasets from publicly indexed Yelp information.

Instead of manually searching Yelp results and opening profiles one by one, the actor processes your keyword and email-domain combinations automatically and stores discovered contact records in an Apify dataset.

💡 Yelp Email Scraper at a glance

• Search Yelp-related results using targeted keywords
• Extract publicly visible email addresses matching selected domains
• Optionally filter searches by city, state, country, or region
• Use multiple keywords and multiple email domains in one run
• Exclude unwanted descriptions using words or phrases
• Save results incrementally to an Apify dataset
• Automatically avoids duplicate email addresses
• Free users are limited to 100 collected emails
• Paid users do not have the actor's 100-email free-tier ceiling

The easiest way to start is to provide several practical keywords such as Restaurant, Seller, or Supplier, select an email suffix such as @gmail.com, and run the actor.

For better coverage, use several closely related search terms instead of relying on one broad keyword. For example, Restaurant Owner, Restaurant Manager, Catering Business, and Food Supplier can target different parts of the same market.

---

🚀 Yelp Email Scraper – Key Features

The Yelp Email Scraper focuses on targeted email discovery rather than collecting unrelated Yelp profile information. Its controls are designed to help you define the audience you want before the extraction begins.

✨ Key Features

• Keyword-based Yelp email discovery
• Multiple search keywords per run
• Multiple email-domain filters
• Optional geographic targeting
• Exclude-word and exclude-phrase filtering
• Duplicate email protection
• Per keyword + domain collection target
• Incremental dataset storage
• Resume-friendly run progress
• Structured lead output

🎯 Targeted Keyword Search

The actor accepts a list of search keywords, allowing you to create focused searches for specific industries, services, business types, or professional audiences.

Specific keywords generally create more targeted search intent than broad terms. Instead of entering only Fitness, you could use terms such as Fitness Trainer, Fitness Coach, Personal Trainer, or Online Fitness Coach.

🌍 Location-Based Search

The optional location field can narrow searches to a country, state, city, or other region.

For example, you can use:

• New York
• Chicago
• California
• United States

Leaving the location empty allows the search to run without a geographic filter.

📧 Custom Email Domains

The customDomains input lets you specify which email suffixes should be considered.

Examples include:

• @gmail.com
• @yahoo.com
• @outlook.com
• @hotmail.com

You can also use business-domain suffixes when your research requires them.

🚫 Exclude Unwanted Results

Use excludeWords to skip descriptions containing terms or phrases you do not want.

For example:

• crypto
• onlyfans
• adult
• casino

Single-word matching is case-insensitive and uses whole-word matching, while phrases are matched as phrases within the description text.

---

📊 Yelp Email Scraper – What Data You Can Extract

The Yelp Email Scraper stores each discovered lead as a structured dataset record. The actor's configured dataset view is designed around five primary fields that are useful for understanding where each email came from.

📦 Output / Data Fields

Field	Description
keyword	Search keyword that produced the result
title	Title associated with the search result
description	Description or search-result snippet containing the extracted information
url	Result URL
email	Email address discovered in the result

The keyword field helps you understand which search term generated a particular lead. This is especially useful when you run multiple business categories or market segments in one job.

The title, description, and url provide context around the discovered email. Together, they make the output easier to review, qualify, and organize before using the leads in another workflow.

The email field contains the extracted address that matches your selected domain suffix.

The actor also tracks already discovered email addresses during processing so the same email is not repeatedly added as a new lead.

---

⚙️ Yelp Email Scraper – How to Use It

Using the Yelp Email Scraper requires only a few practical inputs.

1. 🔑 Enter Your Keywords

The keywords field is required and accepts a list of search terms.

Example:

{
  "keywords": [
    "Restaurant",
    "Restaurant Owner",
    "Restaurant Manager",
    "Catering Business"
  ]
}

More specific keywords can help you build a more targeted lead dataset.

2. 🌎 Add a Location

The location field is optional.

Example:

{
  "location": "New York"
}

Use this when your campaign or research focuses on a particular geographical market.

3. 📩 Select Email Domains

The default domain is:

{
  "customDomains": [
    "@gmail.com"
  ]
}

You can provide several domains:

{
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ]
}

The actor processes keyword and domain combinations individually, giving you more control over the search coverage.

4. 🔢 Set the Email Target

Use maxEmails to control how many addresses the actor aims to collect for each keyword + email-domain combination.

The accepted range is 1 to 10,000, with a default value of 10.

For example, three keywords and two domains with maxEmails: 20 create six keyword-domain combinations. The actor can therefore target up to 20 results independently for each combination, subject to what is publicly available.

This is not a guarantee that every combination will produce the requested number of emails.

5. 🚫 Add Exclude Words

You can optionally provide terms that should cause a result description to be skipped.

Example:

{
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

6. ▶️ Run the Actor

After configuring your inputs, start the actor. Discovered records are pushed incrementally into the dataset while processing continues.

---

🔍 How to Extract Yelp Business Emails Using Specific Keywords

A practical way to use the Yelp Email Scraper is to think about your target audience first and then build a group of related queries.

For example, a restaurant-focused campaign could use:

Restaurant Owner
Restaurant Manager
Catering Company
Cafe Owner
Bakery Owner
Food Supplier

A broader business research campaign might use:

Seller
Supplier
Distributor
Retail Store
Local Business
Business Owner

Specific combinations help separate different search intents. They can also make your final dataset easier to segment because the original keyword is retained in every output record.

💡 Search strategy tip

• Start with several highly relevant keywords.
• Add location information when geography matters.
• Use multiple email domains when you need broader coverage.
• Review early results and refine your keywords.
• Use excludeWords when search snippets contain unwanted categories.

---

🧩 Can You Target a Specific City or Region?

Yes. The actor supports an optional location value that can narrow the search geographically.

For example:

{
  "keywords": [
    "Dental Clinic",
    "Dentist",
    "Dental Office"
  ],
  "location": "Los Angeles"
}

This can be helpful for local business prospecting, regional market research, and city-specific lead generation.

For broader discovery, simply leave location empty.

---

🔄 How the Keyword and Domain Combinations Work

The Yelp Email Scraper processes the provided keyword list together with the selected email-domain list.

Suppose you use:

{
  "keywords": [
    "Restaurant",
    "Catering"
  ],
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 25
}

The actor works through these four combinations:

• Restaurant + @gmail.com
• Restaurant + @yahoo.com
• Catering + @gmail.com
• Catering + @yahoo.com

Each combination has its own target. This means the limit is not simply one shared number across the entire matrix.

Actual results depend on the amount of publicly indexed information that matches the query and selected domain.

---

💼 Yelp Email Scraper – Use Cases

The actor can support several data collection and research workflows.

🎯 Use Cases

• Local business lead generation
• Sales prospect discovery
• Email-based outreach research
• Business directory research
• Market and competitor research
• Regional business prospecting
• Industry-specific contact discovery
• Agency prospect research
• Service-provider research
• Building segmented contact datasets

📈 Lead Generation

Sales teams and marketers can search for business categories and collect publicly available email addresses associated with relevant search results.

🏪 Local Business Research

Location filtering is useful when researching businesses in a particular city, state, country, or market.

🎯 Audience Segmentation

Because the keyword is preserved in the dataset, you can later group records by search intent, business category, product type, or target segment.

🔎 Market Research

Researchers can combine different keywords to study the types of businesses appearing for related searches and identify publicly available contact opportunities.

---

📝 Input

The actor supports the following user-facing inputs:

Input	Type	Required	Default	Limits / Notes
keywords	Array	Yes	Restaurant, Seller, Supplier	Search terms or queries
location	String	No	Empty	Country, state, city, or region
customDomains	Array	No	@gmail.com	Email suffixes to include
maxEmails	Integer	No	10	1–10,000
excludeWords	Array	No	Empty	Words or phrases to skip

A simple complete input example is:

{
  "keywords": [
    "Restaurant Owner",
    "Restaurant Manager",
    "Catering Business"
  ],
  "location": "New York",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto"
  ]
}

The only required field is keywords.

---

📤 Output

The actor produces structured records in the Apify dataset.

📄 Sample Output

{
  "keyword": "Restaurant Owner",
  "title": "Example Restaurant",
  "description": "Restaurant information and contact details...",
  "url": "https://www.yelp.com/...",
  "email": "example@gmail.com"
}

The output is designed for easy review in the Apify dataset and can be used as structured lead data for downstream workflows.

The configured dataset view presents the main fields in a table, including the result URL as a clickable link.

---

💰 Pricing and Result Limits

The provided Actor configuration does not specify a monetary price, so this README does not invent one.

The code does define different result limits based on the user's plan.

💳 Pricing / Usage Behavior

• Free users are limited to a maximum of 100 emails.
• If a free user requests more than 100, the actor applies the 100-email ceiling.
• Paid users are not restricted by this 100-email free-tier ceiling.
• maxEmails still controls the requested collection target.
• Results are charged through the actor's result events according to the configured Apify billing setup.
• No specific per-result price is stated in the provided configuration.

The requested maxEmails value remains subject to the actor's actual search results and stopping conditions.

---

🛠️ Tips and Best Practices

⚡ Important Notes

• Use several specific keywords instead of one extremely broad keyword.
• Combine related business terms for broader market coverage.
• Add a location when you need region-specific leads.
• Use several email domains when appropriate.
• Start with a smaller maxEmails value to test search quality.
• Use excludeWords to remove unwanted categories.
• Results may be lower than your requested target when relevant public information is unavailable.
• Large searches can require more runtime because the actor processes multiple keyword and domain combinations.
• The actor can stop a search combination when additional pages are no longer producing useful new email results.

The most important optimization is relevance. More keywords do not automatically mean better leads. A smaller set of highly targeted queries can produce a more useful dataset than many unrelated terms.

For example, Restaurant Owner is generally more specific for a restaurant-owner campaign than simply Business.

---

⏱️ What Happens When Results Become Sparse?

The Yelp Email Scraper does not continue indefinitely when searches stop producing useful new contacts.

Processing can end for a keyword-domain combination when there are consecutive pages without new emails, when result pages become empty, when later pages become inefficient, or when retrieval repeatedly fails.

This behavior helps avoid spending excessive processing time on searches that are no longer producing meaningful new data.

It also means that maxEmails is a target rather than a guarantee.

For the same reason, increasing maxEmails does not necessarily produce more results if the underlying search has already reached its available public matches.

---

🔁 Can the Yelp Email Scraper Resume Progress?

The actor persists its progress while processing and stores discovered email addresses to help prevent duplicates.

This allows the run state to be maintained as processing moves through the keyword and domain combinations.

The dataset is updated incrementally rather than waiting until every search has completed, which is useful for longer-running jobs.

---

📚 Frequently Asked Questions

❓ What is a Yelp Email Scraper?

A Yelp Email Scraper is a data extraction tool that searches Yelp-related indexed results for publicly available email addresses and saves matching contacts as structured dataset records.

❓ How does the Yelp Email Scraper find email addresses?

The actor processes search results related to Yelp and looks for email addresses that match the email-domain suffixes you specify.

❓ Can I scrape Yelp emails by city?

Yes. Enter a city, state, country, or other region in the location field to narrow the search geographically.

❓ Can I use multiple Yelp keywords?

Yes. The keywords input accepts a list, so you can search multiple business categories or related queries in the same run.

❓ Can I search for Gmail and Yahoo emails together?

Yes. Add multiple values to customDomains, such as @gmail.com and @yahoo.com.

❓ What is the maximum maxEmails value?

The configured input accepts values from 1 to 10,000.

❓ Is maxEmails a global run limit?

No. The actor processes the target independently for each keyword + email-domain combination.

❓ Is the requested number of emails guaranteed?

No. The actor can only return emails that are publicly available and discoverable for the selected searches and domains.

❓ Can I exclude unwanted keywords?

Yes. Use excludeWords to skip search-result descriptions containing specified words or phrases.

❓ Is the free-user limit 100 emails?

Yes. The actor applies a maximum of 100 emails for free users.

❓ Do paid users have the same 100-email ceiling?

No. The actor's code removes that free-tier ceiling for paid users, while your selected maxEmails target still controls collection behavior.

❓ What fields are included in the output?

The configured dataset view contains keyword, title, description, url, and email.

❓ Can I collect business emails for a specific industry?

Yes. Use industry-specific and role-specific keywords, such as Restaurant Owner, Hotel Manager, Dental Clinic, or another relevant business term.

❓ Why did my run return fewer emails than requested?

The selected searches may not contain enough publicly available matching email addresses. Narrow searches, limited email domains, geographic filters, and sparse search results can all reduce the final total.

❓ How can I improve Yelp email scraping results?

Use several relevant keywords, consider additional email domains, broaden the location, and remove unnecessary exclusion terms.

---

📞 Support

For questions, custom requirements, improvements, or bespoke actor development:

• contact me by email : alphascraper69@gmail.com