Hotfrog Email Scraper

Hotfrog Email Scraper

Hotfrog Email Scraper is an Apify Actor designed to extract publicly indexed email addresses associated with Hotfrog business listings and search results. You provide one or more targeted keywords, optionally narrow the search by country, state, or city, choose the email domains you want to collect, and optionally exclude unwanted profile descriptions.

The Actor returns structured lead records containing the search keyword, result title, description, URL, and extracted email address. This makes the collected information suitable for business research, contact discovery, lead research, market analysis, and structured dataset creation.

Hotfrog Email Scraper is particularly useful when you want to search across multiple business-related terms rather than manually reviewing individual Hotfrog listings. More specific keyword combinations can help focus the search on the type of businesses or contacts you are researching.

What Is the Hotfrog Email Scraper?

The Hotfrog Email Scraper automates keyword-based email discovery from publicly indexed Hotfrog pages.

Instead of manually searching for businesses and checking individual listings for contact information, you can provide a list such as:

• Plumber
• Roofing Contractor
• Electrician
• Construction Company

The Actor processes each keyword together with your selected email-domain suffixes and can optionally apply a geographic filter.

The resulting dataset contains structured records with the context surrounding each discovered email, including the page title, description, and URL.

Email addresses are collected only when they are available in the indexed search information and match the configured email-domain suffixes. Results therefore depend on what is publicly indexed and available for the searches you provide.

Key Features

Feature	Description	User Benefit
Keyword-based search	Search Hotfrog using multiple keywords or queries	Target specific business categories or audiences
Location filtering	Optionally specify a country, state, or city	Narrow research to a geographic area
Custom email domains	Select email suffixes such as @gmail.com or @yahoo.com	Focus collection on relevant email types
Per-combination email target	Configure the maximum number of emails for each keyword and domain combination	Control collection depth
Exclude words	Skip descriptions containing specified words or phrases	Reduce unwanted results
Structured dataset	Results contain keyword, title, description, URL, and email	Simplify analysis and downstream workflows
Duplicate prevention	Previously collected email addresses are not added again	Keep the resulting email collection cleaner
Incremental dataset updates	Results are added to the Apify dataset during processing	Make collected records available as the run progresses

What Data Can You Extract?

Hotfrog Email Scraper focuses on email-oriented contact discovery from indexed Hotfrog results.

Each collected record can contain:

• Keyword — The search keyword that produced the result.
• Title — The title of the indexed Hotfrog result.
• Description — The available result description or snippet.
• URL — The URL associated with the result.
• Email — The email address matching one of your configured domain suffixes.

The description and title provide useful context around an email address, while the URL allows you to identify the associated source page.

The Actor does not claim that every Hotfrog listing contains an email address. A result is only collected when a matching email address is available in the indexed information being searched.

Why Use This Actor?

Manual business-directory research can become repetitive when you need to review many keywords or geographic areas. Hotfrog Email Scraper provides a structured way to perform this type of keyword-driven contact research.

You can combine several search dimensions:

• Multiple business or industry keywords
• Optional geographic targeting
• Multiple email-domain suffixes
• Exclusion terms
• Configurable email collection limits

For example, instead of searching only for Fitness, you can use more specific terms such as Fitness Trainer, Personal Trainer, Fitness Coach, and Online Fitness Coach.

This approach can help you create more focused search coverage while keeping the resulting records associated with their original search context.

Benefits

• Automated research — Reduce repetitive manual searching across Hotfrog-related results.
• Multiple keyword support — Process several business or search terms within one run.
• Geographic targeting — Use a location when your research requires regional focus.
• Domain targeting — Collect only email addresses matching your configured suffixes.
• Structured results — Receive consistent fields instead of manually copying contact information.
• Exclusion filtering — Remove snippets containing unwanted words or phrases.
• Dataset creation — Build an organized collection of business contact records for research and analysis.
• Duplicate reduction — The Actor tracks previously collected email addresses during processing.

How to Use the Hotfrog Email Scraper

The basic workflow is straightforward:

1. Enter one or more keywords in the keywords field.
2. Optionally enter a country, state, or city in location.
3. Add the email-domain suffixes you want to search for in customDomains.
4. Set maxEmails according to the desired collection depth.
5. Optionally add words or phrases to excludeWords.
6. Start the Actor.
7. Review the resulting dataset and use the structured records in your research workflow.

For initial testing, start with a small keyword list and a modest email target. After reviewing the results, you can broaden your keywords, add additional domains, or adjust the location filter.

Input

The Actor requires the keywords field. The other fields are optional and allow you to refine the search.

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["Company", "Business Owner"]	Keywords or queries used to search for relevant Hotfrog results
location	String	No	""	Optional country, state, or city used to narrow the search
customDomains	Array of strings	No	["@gmail.com"]	Email-domain suffixes to include in the search
maxEmails	Integer	No	5	Maximum email target for each keyword + domain combination; valid range is 1–10,000
excludeWords	Array of strings	No	[]	Words or phrases that cause matching descriptions to be skipped

Keywords

Use specific business terms when possible. Multiple targeted keywords can provide broader coverage than relying on one very general term.

Example:

{
  "keywords": [
    "Plumber",
    "Roofing Contractor",
    "Electrician",
    "Construction Company"
  ]
}

Location

The location field is optional. Leave it empty when you do not need geographic filtering.

Examples include:

• London
• Manchester
• United Kingdom
• Birmingham

Custom Email Domains

The default domain is @gmail.com. You can provide multiple suffixes, for example:

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

You can also specify other email-domain suffixes when they are relevant to your research.

Maximum Emails

maxEmails accepts an integer from 1 to 10000, with a default of 5.

The configured target is applied independently to each keyword and email-domain combination. For example, three keywords combined with two domains create six keyword-domain combinations, each with its own target.

The actual number collected can be lower because matching publicly indexed email addresses may not be available.

Exclude Words

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

For example:

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

Single-word exclusions are matched without regard to letter case and as whole words. Multi-word phrases are matched without regard to letter case.

Input Example

The following is a valid example using all available input fields:

{
  "keywords": [
    "Plumber",
    "Roofing Contractor",
    "Electrician"
  ],
  "location": "London",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

Output

Hotfrog Email Scraper produces structured dataset records. The public dataset view contains five main fields:

Field	Description
keyword	Keyword associated with the search that produced the record
title	Title of the indexed result
description	Description or snippet associated with the result
url	URL associated with the result
email	Extracted email address matching a configured domain suffix

This structure keeps each email connected to useful source context. The keyword field can help identify which search term generated a record, while title, description, and url provide additional information for review.

Output Example

A typical dataset item follows this structure:

{
  "keyword": "Plumber",
  "title": "Example Plumbing Services",
  "description": "Professional plumbing services serving London. Contact example@gmail.com for more information.",
  "url": "https://www.hotfrog.co.uk/company/example-plumbing-services",
  "email": "example@gmail.com"
}

The exact values and availability of fields depend on the indexed results returned for your search criteria.

Use Cases

Hotfrog Email Scraper can support several practical research and data-collection workflows.

• Business lead research — Find publicly indexed business contact emails associated with targeted categories.
• Market research — Explore businesses within selected industries or locations.
• Local business research — Narrow searches to specific cities, states, or countries.
• B2B research — Search for business categories and collect matching publicly indexed contact information.
• Industry research — Compare contact coverage across different business keywords.
• Dataset creation — Build structured contact datasets for analysis.
• Contact discovery — Identify email addresses associated with relevant indexed business pages.
• Research automation — Repeat keyword-based collection without manually reviewing every result.
• Data analysis — Use the keyword, title, description, URL, and email fields to organize and analyze results.

Users should ensure that their use of collected contact information complies with applicable laws, platform terms, and their own data-usage requirements.

Advantages

Hotfrog Email Scraper provides several configurable elements that are useful for targeted contact research:

• Multiple keywords can be processed in one run.
• Searches can be narrowed geographically.
• Multiple email domains can be specified.
• Email collection depth can be configured.
• Description-based exclusion filtering is available.
• Output is organized into a consistent dataset structure.
• Duplicate email addresses are avoided during collection.
• Results are pushed to the Apify dataset incrementally.

Limitations

The Actor depends on publicly indexed information, so results are not guaranteed to contain an email address for every Hotfrog business listing.

Important considerations include:

• Results depend on the availability of matching indexed Hotfrog information.
• A narrow keyword or location may produce few results.
• The selected email-domain suffixes determine which email addresses can match.
• excludeWords can intentionally remove otherwise matching results.
• The requested maxEmails value is a target rather than a guarantee that that number of addresses exists.
• Search coverage can vary between keywords, domains, and locations.
• Free-tier runs are subject to a maximum collection limit of 100 emails.

For broader coverage, consider using several specific keywords, relevant email domains, and an appropriate geographic scope.

Pros and Cons

Pros	Cons
Supports multiple keyword searches	Results depend on publicly indexed information
Optional location targeting	Narrow searches may return limited results
Custom email-domain filtering	Only configured domain suffixes are targeted
Exclusion words help filter unwanted descriptions	Exclusion terms can remove matching snippets
Structured five-field dataset	Requested email targets are not guaranteed
Duplicate email addresses are avoided	Email availability varies by source result

Comparison With Alternative Approaches

Capability	Hotfrog Email Scraper	Manual Research
Keyword-based collection	Supported	Requires repeated searches
Multiple keywords	Supported	Usually handled manually
Location filtering	Supported	Manual filtering/search refinement
Email-domain targeting	Supported	Requires manual checking
Exclusion filtering	Supported	Manual review required
Structured dataset	Supported	Requires manual formatting
Duplicate email tracking	Supported	Requires manual deduplication
Incremental dataset results	Supported	Manual collection

The main distinction is workflow automation: the Actor turns configured keyword and domain searches into structured dataset records, while manual research requires the user to perform and organize those steps individually.

Competitive Advantages

The practical strengths of Hotfrog Email Scraper come from its configurable search workflow rather than unsupported performance claims.

Users can combine:

• Targeted search keywords
• Geographic filtering
• Custom email-domain suffixes
• Per-combination email targets
• Description exclusion terms
• Structured output fields

This makes the Actor adaptable to different business research requirements without requiring users to manually organize every discovered contact.

Best Practices

• Start with a small test run before launching a broad collection.
• Use several specific keywords instead of relying only on broad terms.
• Choose email domains that match your research objective.
• Leave location empty when geographic filtering is unnecessary.
• Use a location when regional relevance is important.
• Keep excludeWords focused on genuinely unwanted descriptions.
• Review a sample of results before increasing the collection target.
• Increase keyword coverage when a search produces too few matches.
• Add relevant email domains when the default domain does not provide enough coverage.
• Treat maxEmails as a collection target, not a guarantee.

Troubleshooting

Invalid Input

Check that keywords is an array of strings and that maxEmails is an integer between 1 and 10000. Email-domain values should be provided as strings such as @gmail.com.

Empty Results

Try more specific or alternative keywords, remove an overly restrictive location, or add additional email domains. A search may also have limited publicly indexed matching information.

Partial Results

If fewer emails are returned than requested, the available indexed results may not contain enough matching addresses. Broader keyword coverage or additional domain suffixes may improve coverage.

Missing Email Addresses

Not every indexed Hotfrog result contains a publicly visible email address. The Actor only produces an email record when a matching address is available.

Too Many Unwanted Results

Use excludeWords to skip descriptions containing unwanted words or phrases. Review your exclusion terms carefully because matching descriptions are skipped completely.

Long Runs

Large keyword lists, multiple domains, and high email targets can require more processing. For wider runs, allow sufficient run time in Apify's run settings.

Frequently Asked Questions

What does the Hotfrog Email Scraper do?

It searches for publicly indexed Hotfrog information using your configured keywords and email-domain suffixes, then creates structured records when matching email addresses are found.

What data does the Hotfrog Email Scraper return?

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

Can I use multiple keywords?

Yes. The keywords field accepts an array of search terms, allowing you to target multiple business categories or related queries in one run.

Can I search a specific city or country?

Yes. Use the optional location field to narrow the search to a country, state, or city.

Can I search for different email domains?

Yes. Use customDomains to specify email suffixes such as @gmail.com, @yahoo.com, or @outlook.com.

What does maxEmails control?

It controls the target number of addresses for each keyword and email-domain combination. It accepts values from 1 to 10,000. The actual result count can be lower when matching public information is unavailable.

Can I exclude unwanted results?

Yes. Add words or phrases to excludeWords. If an exclusion term matches a result description, that description is skipped and no email is extracted from it.

Why did I receive fewer emails than requested?

The requested value is a target, not a guarantee. Results depend on the availability of publicly indexed Hotfrog information and matching email addresses.

Is the Actor suitable for automation?

Yes. Its configurable inputs and structured Apify dataset output make it suitable for repeatable keyword-based research workflows.

How should I start?

Begin with a few targeted keywords, a modest maxEmails value, and only the email domains relevant to your research. Review the dataset and then expand the configuration if necessary.

NLP Keywords

• Hotfrog Email Scraper
• Hotfrog email extraction
• Hotfrog contact scraper
• Hotfrog email finder
• Hotfrog.co.uk email scraper
• Hotfrog lead scraper
• Hotfrog contact extraction
• Hotfrog business leads
• Hotfrog professional contacts
• Hotfrog email addresses
• Hotfrog lead generation
• Hotfrog contact discovery
• Hotfrog search scraper
• Hotfrog data extraction
• Hotfrog public contact data
• Hotfrog keyword search
• Hotfrog location search
• Hotfrog business contact data
• Hotfrog structured dataset
• Hotfrog research data

Related Keywords

• scrape emails from Hotfrog
• extract emails from Hotfrog.co.uk
• find Hotfrog email addresses
• Hotfrog contact data scraper
• Hotfrog.co.uk contact finder
• Hotfrog lead generation scraper
• Hotfrog business email finder
• Hotfrog professional email finder
• Hotfrog keyword email extractor
• Hotfrog email lead scraper
• Hotfrog contact research tool
• Hotfrog email data extraction
• Hotfrog public email discovery
• Hotfrog business contact extraction
• Hotfrog location-based email search
• Hotfrog email search by keyword
• Hotfrog email search by domain
• Hotfrog contact dataset
• Hotfrog lead research tool
• Hotfrog email collection

Final Overview

Hotfrog Email Scraper provides a structured way to discover publicly indexed email addresses associated with Hotfrog search results. Users can configure multiple keywords, optional locations, custom email domains, collection targets, and exclusion terms to shape their research.

The resulting dataset connects each discovered email with its search keyword, title, description, and source URL. This makes the output useful for business research, contact discovery, market analysis, lead research, and structured data collection.

For better coverage, use specific related keywords, select relevant email domains, and adjust geographic filtering according to the research objective. Always review collected information and use it responsibly in accordance with applicable requirements.

Contact me: Alphascraper69@gmail.com