Bing Places Email Scraper

🔍 Bing Places Email Scraper – Overview

Bing Places Email Scraper is an Apify Actor designed to discover publicly indexed email addresses associated with Bing Places-related search results using targeted keywords, optional locations, and customizable email domains.

It is useful for local business research, lead generation, B2B prospecting, sales research, market research, directory research, and other workflows where publicly available business contact information can help identify relevant prospects.

The Actor lets you turn search terms such as Restaurant, Dentist, Plumber, Real Estate Agent, or Roofing Contractor into structured contact records. You can combine several keywords with different email domains and optionally narrow the search to a country, state, or city.

💡 Quick Start

• Add one or more business-related keywords.
• Optionally enter a location such as New York, London, or Toronto.
• Select the email domains you want to search.
• Set the maximum number of emails per keyword + domain combination.
• Optionally exclude unwanted words or phrases.
• Run the Actor and review the structured results in the Apify Dataset.

The Actor discovers emails from publicly indexed search-result descriptions. It does not claim access to private business information or private Bing Places data.

Because results depend on public search indexing, the requested number of emails is a target rather than a guarantee. If a particular keyword has limited indexed results or few publicly visible email addresses, the Actor may return fewer records.

🔹 Bing Places Email Scraper – Key Features

Bing Places Email Scraper combines targeted keyword search, geographic targeting, custom email domains, exclusion filters, duplicate prevention, and structured dataset output.

⚡ Key Features

• Search Bing Places-related indexed results using specific keywords.
• Discover matching email addresses from public search-result descriptions.
• Target cities, states, countries, or other geographic terms.
• Search multiple email domains in one Actor run.
• Set an independent email target for each keyword + domain combination.
• Exclude unwanted categories using words or phrases.
• Prevent duplicate email addresses from being added repeatedly.
• Push results incrementally into an Apify Dataset.
• Process multiple keywords and email domains automatically.
• Preserve progress during processing so the Actor can continue after an interruption.

🎯 Keyword-Based Business Search

Keyword selection is central to Bing Places Email Scraper.

Instead of relying on a single broad term, you can create a group of specific business or service keywords. This gives you more targeted search intent and allows different segments of local businesses to be researched within the same run.

For example, a local-services research workflow could use:

• Restaurant
• Dentist
• Dental Clinic
• Roofing Contractor
• Plumber
• Electrician
• Real Estate Agent
• Cleaning Service

Specific keywords can make it easier to focus your business lead generation workflow on the type of company or service you actually need.

🌎 Location Targeting

The optional location input lets you narrow the search using a geographic term.

Examples include:

• New York
• Los Angeles
• London
• Toronto
• California
• Germany
• Australia

You can leave the location empty when you want to search without a geographic filter.

Location targeting can be useful for local business prospecting, regional market research, city-specific lead generation, and service-area research.

📧 Custom Email Domains

The Actor supports multiple email-domain suffixes.

The default is:

@gmail.com

You can also add domains such as:

• @gmail.com
• @yahoo.com
• @outlook.com
• @hotmail.com
• @icloud.com
• Custom business domains such as @example.com

Each selected domain is processed with each keyword, creating separate keyword + domain search combinations.

🚫 Exclude Words and Phrases

The excludeWords option lets you prevent unwanted search-result descriptions from contributing email addresses.

For example:

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

Matching ignores letter case. A single-word exclusion is matched as a whole word, while a phrase is matched as a phrase.

When an excluded term appears in a result description, that entire result is skipped.

🔹 Bing Places Email Scraper – What Data You Can Extract

Bing Places Email Scraper produces structured lead records containing the search context and the discovered email address.

📊 Output / Data Fields

• keyword — The keyword used to find the search result.
• title — The title of the indexed search result.
• description — The public search-result description or snippet.
• url — The URL associated with the search result.
• email — The extracted email address matching the selected domain.
• network — The underlying pushed record also contains Bing Places.com.

The default Apify Dataset table displays five primary fields: keyword, title, description, url, and email.

The description is particularly useful because it provides context around the email discovery. Instead of receiving an email address without context, you can see the search-result text associated with it.

🧾 Sample Output

A representative record can look like this:

{
  "network": "Bing Places.com",
  "keyword": "Restaurant",
  "title": "Restaurant Business Listing",
  "description": "Restaurant information and contact details ... example@gmail.com ...",
  "url": "https://www.bing.com/...",
  "email": "example@gmail.com"
}

The actual title, description, URL, and email depend on the publicly indexed results available for your selected keyword, location, and domain.

🔹 Bing Places Email Scraper – How It Works

The general workflow of Bing Places Email Scraper is designed around search-engine discovery.

You provide search criteria, and the Actor works through the resulting keyword and email-domain combinations.

The workflow is:

• Read the configured keywords, location, domains, maximum target, and exclusions.
• Build a targeted search for each keyword + domain combination.
• Include the optional location when supplied.
• Process publicly indexed search results.
• Read the title, URL, and description from each result.
• Skip descriptions containing excluded words or phrases.
• Extract email addresses matching the selected domain suffix.
• Ignore email addresses already discovered during the run.
• Push new records to the Apify Dataset.
• Continue through the configured search combinations.

This means the Actor is primarily a search-result discovery tool. It should not be interpreted as direct access to private Bing Places records.

🔹 Bing Places Email Scraper – How to Use It

1. 🔑 Enter Business Keywords

The required keywords field accepts a list of search terms.

For example:

{
  "keywords": [
    "Restaurant",
    "Dentist",
    "Dental Clinic",
    "Plumber"
  ]
}

Using multiple specific terms can provide broader coverage than using only one generic keyword.

For example, Restaurant may be useful for broad research, while combinations such as Italian Restaurant, Pizza Restaurant, and Family Restaurant can create more specific search intent.

2. 🌍 Add a Location

Enter a country, state, city, or other geographic term when your research is location-specific.

Example:

Chicago

For global or unrestricted research, leave the field empty.

If a highly specific location produces sparse results, try a broader region or remove the location filter.

3. 📬 Select Email Domains

The default domain is @gmail.com.

You can expand the search:

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

You can also use business-specific domains where appropriate.

4. 🔢 Set maxEmails

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

The limit applies independently to each keyword + domain combination.

For example:

• 3 keywords
• 2 email domains
• maxEmails = 20

creates 6 keyword + domain combinations, with a target of up to 20 emails for each combination.

⚠️ Important: This is not a guaranteed total. The Actor can only collect emails that are publicly available in the indexed search results. Global duplicate prevention can also reduce the final number of unique records.

5. 🚫 Add Exclusion Terms

If certain categories are not relevant to your research, add them to excludeWords.

Example:

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

If a matching word or phrase occurs in a result description, that result is skipped before email extraction.

6. ▶️ Run the Actor

After configuring the inputs, start the run.

Results are pushed incrementally into the configured Bing Places Emails Dataset. Larger keyword, domain, and location combinations can require more processing time.

The input configuration specifies a default run timeout of 3600 seconds. Wider searches may benefit from increasing the run timeout through the available run options.

🔹 How to Scrape Bing Places Emails by Keyword

To use Bing Places Email Scraper for keyword-based local business research, start with clear business categories.

For example:

{
  "keywords": [
    "Dentist",
    "Dental Clinic",
    "Orthodontist"
  ],
  "location": "New York",
  "customDomains": [
    "@gmail.com",
    "@outlook.com"
  ],
  "maxEmails": 20
}

This configuration gives the Actor multiple business search intents and two email-domain targets for the selected location.

If results are limited, consider broadening the location, adding related business terms, or adding additional email domains.

🔹 How to Find Local Business Emails with Bing Places

Bing Places Email Scraper can support local business research when publicly indexed search results contain matching email addresses.

Useful keyword categories include:

• Restaurants and food businesses
• Dental practices
• Medical businesses
• Home improvement services
• Real estate businesses
• Automotive services
• Cleaning companies
• Beauty salons
• Fitness businesses
• Professional services

For example, a home-services researcher could search:

Plumber
Electrician
Roofing Contractor
HVAC Contractor

A real-estate research workflow could use:

Real Estate Agent
Property Manager
Real Estate Broker

The Actor returns only what can be discovered through its public indexed search process.

🔹 Can You Search Bing Places by City or Country?

Yes. The location field allows an optional geographic term to be included in the search.

For example:

location: Toronto

or:

location: United Kingdom

This can be useful when building location-focused business lead datasets.

If you are not targeting a particular area, leaving location empty allows the search to operate without a geographic filter.

🔹 Can You Search Multiple Email Domains?

Yes. You can supply multiple email-domain suffixes in customDomains.

For example:

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

The Actor processes each domain separately for each keyword.

This can increase search coverage when businesses or publicly indexed contacts use different email providers.

🔹 Bing Places Email Scraper – Use Cases

💼 Common Use Cases

• Local business lead generation — Research businesses by category and location.
• B2B prospecting — Build structured business contact datasets for legitimate prospecting.
• Sales research — Identify publicly indexed contact information associated with relevant businesses.
• Local market research — Explore businesses operating in a specific city, state, or country.
• Agency prospecting — Research potential clients in selected service categories.
• Restaurant research — Search restaurant-related keywords and locations.
• Home-service research — Find public contact information for contractors and service providers.
• Real estate research — Search real estate-related business categories.
• Business directory research — Turn targeted search terms into structured lead records.
• Audience research — Compare results across business categories, locations, and email domains.

These use cases are based on the Actor's actual keyword, location, domain, filtering, and structured-output functionality.

🔹 Bing Places Email Scraper – Input

The required input is keywords. The other settings provide optional targeting and filtering controls.

Input	Type	Default	Purpose
keywords	Array	Restaurant, Dentist	Business search terms
location	String	Empty	Optional geographic filter
customDomains	Array	@gmail.com	Email-domain suffixes
maxEmails	Integer	5	Target per keyword + domain
excludeWords	Array	Empty	Terms that exclude result snippets

📝 Complete Sample Input

{
  "keywords": [
    "Restaurant",
    "Italian Restaurant",
    "Catering Company"
  ],
  "location": "Los Angeles",
  "customDomains": [
    "@gmail.com",
    "@outlook.com"
  ],
  "maxEmails": 10,
  "excludeWords": [
    "crypto"
  ]
}

This searches three business-related keywords with two email domains and a Los Angeles location term.

🔹 Bing Places Email Scraper – Output Format

The configured dataset is named Bing Places Emails Dataset and uses a Scraped Leads table view.

The primary displayed fields are:

Field	Description
keyword	Keyword used for the search
title	Search-result title
description	Search-result description/snippet
url	Search-result URL
email	Extracted matching email

The pushed record also contains:

network: "Bing Places.com"

The dataset is updated incrementally as new email addresses are found.

🔹 Bing Places Email Scraper – Pricing and Limits

💰 Pricing / Limit Information

• maxEmails supports values from 1 to 10,000.
• The default maxEmails value is 5.
• The target is applied independently to each keyword + domain combination.
• Free-tier processing applies a maximum of 100 emails per keyword + domain combination.
• Paid users are not restricted by that free-tier result ceiling.
• Larger targets can require more search processing and may take longer.
• No fixed monetary Actor price is specified in the supplied configuration.

The requested limit should therefore be viewed as a collection target rather than a guaranteed number of final records.

🔹 Tips and Best Practices

💡 Important Notes

• Use specific business keywords instead of only broad categories.
• Combine related service terms for wider search coverage.
• Add multiple email domains when broader email discovery is appropriate.
• Use location targeting for city-specific or regional research.
• Remove restrictive location terms when results are too sparse.
• Use excludeWords to remove clearly irrelevant result categories.
• Start with a modest maxEmails value and evaluate result quality.
• Increase the run timeout for wider searches when necessary.
• Review the title and description before using an email for outreach.
• Remember that public indexing determines what the Actor can discover.

A useful strategy is to begin with several related keywords, evaluate the dataset, and then refine the search terms based on the quality and relevance of the returned business records.

🔹 Does Bing Places Email Scraper Remove Duplicate Emails?

Yes. The Actor tracks email addresses that have already been discovered and avoids registering the same email repeatedly.

This is especially useful when several keywords describe overlapping businesses. A business may appear in more than one search combination, but the same email address is not intentionally added again.

As a result, the number of unique final emails can be lower than the theoretical sum of all keyword + domain targets.

🔹 What Data Does Bing Places Email Scraper Extract?

The Actor extracts five primary dataset fields:

• Keyword
• Title
• Description
• URL
• Email

The underlying pushed record also includes the network field.

The email is extracted from the publicly available search-result description and must match one of the email-domain suffixes supplied in customDomains.

This makes the dataset useful for both contact discovery and contextual lead research.

🔹 Why Use Bing Places Email Scraper?

Bing Places Email Scraper provides a structured way to turn business-oriented search intent into an organized contact dataset.

Instead of manually reviewing individual search results, you can define several keywords, locations, email domains, and exclusion terms in advance.

🚀 Why Use This Actor

• Convert business keywords into structured contact records.
• Search multiple business categories in one run.
• Apply optional geographic targeting.
• Search multiple email-domain suffixes.
• Filter unwanted search-result descriptions.
• Reduce duplicate contact records.
• Receive incremental dataset output.
• Keep keyword and search-result context alongside discovered emails.

This workflow is particularly useful for local business research, B2B prospecting, market research, and structured lead-generation projects.

🔹 Frequently Asked Questions

❓ What is Bing Places Email Scraper?

Bing Places Email Scraper is an Apify Actor that searches publicly indexed Bing Places-related results using keywords and email-domain filters, then extracts matching email addresses from available search-result descriptions.

❓ How do I scrape Bing Places emails by keyword?

Enter business terms in keywords, optionally provide a location, select customDomains, and configure maxEmails. The Actor processes each keyword + domain combination.

❓ Can I find restaurant emails with Bing Places Email Scraper?

Yes. You can use terms such as Restaurant, Italian Restaurant, Pizza Restaurant, or Catering Company and optionally add a city or country.

❓ Can I search dentist and restaurant businesses together?

Yes. Multiple keywords can be supplied in the same input, allowing different business categories to be processed within one run.

❓ Can I search Bing Places emails by location?

Yes. The location input accepts a country, state, city, or other geographic term and adds it to the search.

❓ Can I search Gmail, Yahoo, and Outlook emails together?

Yes. Add multiple email-domain suffixes to customDomains.

❓ Why did the Actor return fewer emails than my maxEmails value?

The target is not a guarantee. The available public search index may contain fewer relevant results or matching email addresses. Narrow keywords, restrictive locations, duplicate emails, and exclusion filters can also reduce the final count.

❓ Does the Actor access private Bing Places information?

No. The Actor is designed around publicly indexed search results and does not claim access to private business information.

❓ Is maxEmails a total run limit?

No. It is applied independently to each keyword + domain combination. Global duplicate prevention can nevertheless reduce the number of unique records produced.

❓ Can I exclude specific business categories?

Yes. Add words or phrases to excludeWords. If an excluded term appears in a search-result description, that result is skipped.

❓ What is the best way to improve Bing Places email search results?

Use several specific business keywords, add relevant email domains, broaden restrictive locations when necessary, and avoid unnecessary exclusion terms. Testing different search intents can help identify which terms produce the most relevant public results.

❓ Does Bing Places Email Scraper guarantee an email for every business?

No. An email is only returned when a matching address is available in the publicly indexed search-result content and matches the configured domain criteria.

🔹 Responsible Data Use

Use Bing Places Email Scraper responsibly and in accordance with applicable privacy, data-protection, anti-spam, and platform rules.

The Actor is intended to work with publicly indexed information. Public availability does not automatically mean that every discovered email can be used for every type of communication.

Before using contact data for marketing, sales, or outreach, review applicable regulations and your organization's policies.

🔹 Support

For questions about Bing Places Email Scraper, input configuration, output fields, result quality, or custom Actor requirements, contact:

contact me by email : alphascraper69@gmail.com