Paginasamarillas.es Email Scraper

Paginasamarillas.es Email Scraper

Paginasamarillas.es Email Scraper extracts publicly indexed email addresses associated with Paginasamarillas.es search results using targeted keywords and email-domain filters. It is designed for users who need structured business contact data for research, lead discovery, company research, and dataset creation.

You provide one or more search keywords, optionally add a country, city, or region, select the email domains to target, and optionally exclude results containing specific words or phrases. The Actor returns structured records containing the search keyword, result title, description, URL, and extracted email address.

The scraper is useful when you want to automate repetitive contact discovery from indexed Paginasamarillas.es pages rather than manually reviewing search results one by one.

What Is a Paginasamarillas.es Email Scraper?

A Paginasamarillas.es Email Scraper is a data extraction tool focused on finding email addresses that are publicly visible in indexed Paginasamarillas.es search-result descriptions.

The Actor uses your configured keywords and email-domain suffixes to identify relevant indexed results. You can refine the search geographically with the optional location field and filter out unwanted descriptions with exclusion terms.

The result is an Apify dataset containing structured contact records that can be reviewed and used in downstream research or data-analysis workflows.

The Actor does not guarantee that every Paginasamarillas.es listing contains an email address. Results depend on what is publicly indexed and available for the selected search criteria.

Key Features

Feature	Description	User Benefit
Targeted keyword search	Search using one or multiple keywords or queries.	Build focused business contact searches.
Paginasamarillas.es targeting	Results are limited to indexed Paginasamarillas.es pages.	Keep research focused on the intended source.
Location filtering	Optionally add a country, state, city, or other location.	Narrow searches geographically.
Custom email domains	Specify email suffixes such as @gmail.com or @yahoo.com.	Target the types of addresses you need.
Per-combination email limit	Configure the maximum number of emails for each keyword and domain combination.	Control collection depth.
Exclusion filtering	Skip descriptions containing configured words or phrases.	Reduce unwanted results.
Duplicate prevention	Previously collected email addresses are not added again.	Keep the dataset cleaner.
Structured dataset output	Results contain keyword, title, description, URL, and email.	Simplify analysis and downstream workflows.
Incremental dataset collection	Results are added to the Apify dataset as they are collected.	Make collected records available during the run.

What Data Can You Extract?

The Paginasamarillas.es Email Scraper produces five user-facing data fields:

• Keyword — The keyword associated with the search that produced the result.
• Title — The title of the indexed search result.
• Description — The publicly indexed description or snippet associated with the result.
• URL — The URL associated with the search result.
• Email — The email address identified in the result description that matches the configured email-domain filter.

These fields provide context around each extracted email instead of returning an email address without its associated search-result information.

Because the Actor works with indexed search-result information, the availability and completeness of individual fields can vary between results.

Why Use This Actor?

Manually searching business directories for contact information can involve repeated keyword searches, geographic refinement, domain filtering, and result review.

This Actor brings those steps into a configurable Apify workflow. You can provide several search terms and email domains in one run, optionally restrict the search by location, and define words that should exclude a result.

It is particularly useful when your research requires structured records rather than manually copied search results.

The Actor can also help create repeatable search configurations. For example, instead of running separate searches for every business category manually, you can provide multiple related keywords and let the Actor process them during one run.

Benefits

• Automated contact discovery — Reduce repetitive manual searching for publicly indexed business emails.
• Structured data collection — Receive records in a consistent dataset structure.
• Multiple keyword support — Search several business terms within one run.
• Domain targeting — Focus extraction on selected email-domain suffixes.
• Geographic refinement — Add a location when a more focused search is required.
• Result filtering — Exclude descriptions containing unwanted words or phrases.
• Duplicate control — Avoid repeatedly adding the same email address.
• Research-ready context — Keep the keyword, title, description, and URL alongside the email.

How to Use the Paginasamarillas.es Email Scraper

The basic workflow is straightforward:

1. Enter one or more keywords in the Keywords or Queries field.
2. Add a location if you want to narrow the search geographically.
3. Configure the email-domain suffixes you want to target.
4. Set the maximum number of emails for each keyword and domain combination.
5. Optionally provide exclusion words or phrases.
6. Start the Actor.
7. Review the resulting dataset containing the extracted contact records.

For better coverage, use several specific search terms instead of relying on one broad keyword. For example, a business-research workflow might use terms such as fontanero, empresa de fontanería, servicio de fontanería, and fontanería comercial.

Input

The Actor requires the keywords field. The remaining fields are optional and have defaults defined by the Actor configuration.

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["fontanero", "tienda"]	Search keywords or queries to process.
location	String	No	""	Optional country, state, city, or other geographic term used to narrow the search.
customDomains	Array of strings	No	["@gmail.com"]	Email-domain suffixes to target during extraction.
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 a result description to be skipped.

The keywords field accepts multiple values, making it possible to search different terms in a single run.

The location field can be left empty to search without a geographic filter.

For customDomains, use domain suffixes such as @gmail.com, @yahoo.com, or @outlook.com. You can also specify other domain suffixes relevant to your research.

The maxEmails setting applies independently to each keyword and email-domain combination. For example, three keywords and two domains represent six combinations. A configured target of 20 applies to each combination rather than creating one shared target of 20.

Input Example

{
  "keywords": [
    "fontanero",
    "empresa de fontanería",
    "servicio de fontanería"
  ],
  "location": "Madrid",
  "customDomains": [
    "@gmail.com",
    "@outlook.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

Use specific and relevant search terms to improve the focus of your research. If results are too limited, consider broadening the keywords or removing an overly restrictive location filter.

Output

Each collected result is written as a structured dataset record with the following fields:

Field	Description
keyword	The keyword used for the search that produced the result.
title	The title of the indexed search result.
description	The search-result description or snippet associated with the result.
url	The URL associated with the indexed result.
email	The email address extracted from the description and matching the configured domain criteria.

The dataset is displayed as a table in Apify, making it easy to inspect the collected records.

The Actor also prevents the same email address from being added repeatedly during the run, helping maintain a cleaner contact dataset.

Output Example

{
  "keyword": "fontanero",
  "title": "Fontanería Ejemplo",
  "description": "Servicios de fontanería y mantenimiento. Contacto: example@gmail.com",
  "url": "https://www.paginasamarillas.es/f/ejemplo/empresa.html",
  "email": "example@gmail.com"
}

The example above illustrates the output structure. Actual titles, descriptions, URLs, and email addresses depend on the publicly indexed results available for the selected search criteria.

Use Cases

Business Lead Research

Use targeted business keywords to discover publicly indexed contact addresses associated with relevant Paginasamarillas.es results.

Local Business Research

Add a city, country, state, or region to focus searches on a particular geographic market.

Market Research

Collect business contact information and associated result descriptions for market research and company discovery.

Business Intelligence

Combine keyword, description, URL, and email information into a structured dataset for further analysis.

Company Research

Search different business categories or service terms to identify relevant companies and their publicly indexed contact information.

Dataset Creation

Build structured contact datasets by combining multiple keywords and email domains in a single Actor run.

Research Automation

Use the Actor as part of repeatable Apify workflows where structured business-contact discovery is needed.

Competitive Advantages

The Actor provides several practical configuration options without requiring users to manage the search process manually.

• Multiple keywords can be processed in one run.
• Multiple email-domain suffixes can be targeted.
• Searches can be narrowed with a location.
• Exclusion terms can filter unwanted descriptions.
• The maximum email target can be configured.
• Output records preserve useful search-result context.
• Duplicate email addresses are avoided.

These capabilities make the Actor suitable for configurable Paginasamarillas.es contact research where both the search criteria and output context matter.

Advantages

• Flexible targeting: Combine keywords, locations, and email domains according to the research objective.
• Configurable collection depth: Set a maximum email target from 1 through 10,000 for each keyword and domain combination.
• Context-rich output: Each email is accompanied by its keyword, title, description, and URL.
• Filtering controls: Exclusion words and phrases provide additional control over which descriptions are processed.
• Repeatable workflow: The same input configuration can be reused for similar research tasks.

Limitations

• The Actor can only collect email addresses that are available in the indexed result information it processes.
• A search keyword does not guarantee that relevant businesses or email addresses will be found.
• Narrow keywords or restrictive locations can produce fewer results.
• The maxEmails value is a target limit, not a guarantee that the requested number of addresses exists.
• Email extraction is restricted to the configured domain suffixes.
• Exclusion terms can intentionally remove otherwise relevant results when a configured word or phrase appears in the description.
• On the free tier, the Actor applies a maximum of 100 emails when the configured limit is missing or exceeds 100.
• Results may be below the configured target when suitable indexed results are unavailable.

Pros and Cons

Pros	Cons
Supports multiple search keywords	Results depend on publicly indexed information
Supports location-based refinement	Narrow searches may return limited results
Supports custom email domains	Only configured email domains are targeted
Provides structured contact context	A requested email target is not guaranteed
Supports exclusion words and phrases	Filtering can remove otherwise relevant snippets
Helps automate repetitive searches	Results can vary with search availability

Comparison With Alternative Approaches

Capability	This Actor	Manual Search
Multiple keyword processing	Supported	Requires repeated searches
Email-domain targeting	Configurable	Usually handled manually
Location filtering	Supported	Requires manual search refinement
Exclusion filtering	Supported	Requires manual review
Structured output	Dataset with defined fields	Usually requires manual formatting
Duplicate prevention	Supported during collection	Requires manual checking
Repeatable configuration	Supported	Requires repeating search steps

This comparison describes workflow differences rather than guaranteeing a particular volume or quality of results.

Best Practices

• Start with a small maxEmails value to validate your search configuration.
• Use several specific keywords related to the business category you are researching.
• Use a location when geographic targeting is important.
• Remove the location filter when a regional restriction produces too few results.
• Include multiple relevant email domains when broader email coverage is needed.
• Review exclusion words carefully so useful descriptions are not unintentionally filtered.
• Validate important contact information before using it in downstream business processes.
• If results are sparse, broaden the search terms or use additional related keywords.
• For larger runs, allow sufficient execution time for the configured search scope.

Troubleshooting

Invalid input: Check that keywords, customDomains, and excludeWords are provided as arrays of strings and that maxEmails is an integer between 1 and 10,000.

Empty results: Try broader keywords, remove an overly specific location, or add additional email-domain suffixes.

Fewer emails than requested: The configured value is a maximum target, not a guarantee. There may simply be fewer suitable publicly indexed email addresses.

Unexpectedly filtered results: Review the excludeWords list. A matching word or phrase in a result description causes that description to be skipped.

Missing email addresses: Confirm that the desired domain is included in customDomains. An email using a different suffix will not match the configured domain criteria.

Partial results: Search coverage depends on the available indexed information. Consider expanding keywords or geographic scope when appropriate.

Free-tier limitation: If the configured maximum is above the free-tier ceiling, the Actor applies the applicable 100-email limit.

Frequently Asked Questions

What does the Paginasamarillas.es Email Scraper do?

It extracts publicly indexed email addresses associated with Paginasamarillas.es search results and returns them with the related keyword, title, description, and URL.

What input does the Actor require?

The required input is keywords, which is an array of search terms. Location, email domains, maximum email count, and exclusion terms are optional.

Can I use multiple keywords?

Yes. The keywords field accepts multiple search terms, allowing you to cover several related business categories or search intents in one run.

Can I target a specific city or country?

Yes. Enter the desired geographic term in location. Leave it empty when you do not want to apply a location filter.

Can I choose which email domains are collected?

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

How does maxEmails work?

The configured maximum is applied to each keyword and domain combination. It controls how many matching addresses the Actor attempts to collect for that combination.

What data does the Paginasamarillas.es Email Scraper return?

Each record contains keyword, title, description, url, and email.

Can I exclude unwanted results?

Yes. Add words or phrases to excludeWords. If a configured exclusion matches a result description, that description is skipped.

Why did the Actor return fewer emails than my limit?

The maximum is not a guarantee. There may be fewer matching publicly indexed results for your keywords, location, and selected email domains.

Is the Actor suitable for automated research workflows?

Yes. It is designed as a configurable Apify Actor and produces structured dataset records that can be reviewed or used in broader data workflows.

NLP Keywords

• Paginasamarillas.es email scraper
• Paginasamarillas email extraction
• Spanish business email scraper
• Paginasamarillas contact scraper
• business email extraction
• business contact data
• public business emails
• local business leads
• Spanish business directory
• company contact information
• email domain filtering
• keyword-based email extraction
• location-based business search
• business lead discovery
• structured contact dataset
• directory email extraction
• business research data
• company research
• contact data collection
• Paginasamarillas business data

Related Keywords

• Paginasamarillas.es scraper
• Paginasamarillas email finder
• Paginasamarillas contact extractor
• Spanish business email finder
• Spanish company email scraper
• Spain business lead scraper
• local business email extraction
• business directory email extractor
• Spanish directory scraper
• business contact scraper Spain
• Paginasamarillas lead generation
• business email research Spain
• company contact scraper
• public email data scraper
• keyword email scraper
• location-based email scraper
• business directory data extraction
• Spanish company data extraction
• email lead research
• business contact dataset

Final Overview

Paginasamarillas.es Email Scraper provides a configurable way to discover publicly indexed business email addresses associated with Paginasamarillas.es search results.

You can combine multiple keywords with optional location targeting, custom email-domain filters, configurable email limits, and exclusion terms. The resulting dataset preserves the email together with the keyword, result title, description, and URL, giving users useful context for research and analysis.

For the most useful results, begin with focused keywords, test a small collection limit, and adjust the location or email domains when coverage is limited. Keep in mind that the Actor can only return information available in the indexed results it processes, so configured limits should be treated as collection targets rather than guarantees.

Contact me: Alphascraper69@gmail.com