Pagesjaunes Email Scraper

Pagesjaunes Email Scraper

Pagesjaunes Email Scraper extracts publicly indexed email addresses associated with Pagesjaunes search results using targeted keywords, optional location filters, and configurable email domains. It returns structured contact records containing the search keyword, result title, description, URL, and extracted email address.

The Actor is designed for users who need to turn targeted Pagesjaunes searches into structured email datasets. You can provide multiple search terms, specify a country, city, or other location, choose which email domain suffixes to look for, and exclude descriptions containing unwanted words or phrases.

Results are added to the Apify dataset as they are collected, making the output practical for business research, lead research, contact discovery, market research, and other data-collection workflows.

What Is a Pagesjaunes Email Scraper?

Pagesjaunes Email Scraper is a keyword-based email extraction Actor focused on Pagesjaunes.fr search results. Instead of manually reviewing search results and copying publicly indexed contact information, you can configure search terms and let the Actor collect matching email addresses into structured records.

The Actor works with multiple keywords and multiple email domain suffixes. For example, you can search for terms such as restaurant, plombier, architecte, or other relevant business categories while targeting domains such as @gmail.com or @outlook.com.

An optional location can further narrow the search. This is useful when your research focuses on a particular city, region, or country.

The resulting dataset contains five user-facing fields: keyword, title, description, url, and email.

Key Features

Feature	Description	User Benefit
Keyword-based search	Search Pagesjaunes using one or multiple keywords	Build targeted contact datasets
Location filtering	Optionally add a country, state, city, or other location	Narrow searches geographically
Custom email domains	Specify email suffixes such as @gmail.com	Focus extraction on relevant domains
Multiple keyword support	Submit an array of search terms	Run several searches in one Actor run
Exclusion filtering	Skip descriptions containing selected words or phrases	Reduce unwanted matches
Configurable email target	Set maxEmails from 1 to 10,000	Control the intended collection size
Structured dataset	Returns consistent contact fields	Easier analysis and downstream processing
Duplicate prevention	Previously collected email addresses are not emitted again during the run	Keep results cleaner
Incremental results	Records are added to the dataset as they are collected	Review structured output during processing

What Data Can You Extract?

The Pagesjaunes Email Scraper returns contact information connected to matching search results.

Each dataset record includes:

• Keyword — The keyword that produced the matching result.
• Title — The title associated with the Pagesjaunes search result.
• Description — The publicly indexed result description used for email extraction.
• URL — The URL associated with the search result.
• Email — The email address matching one of your configured domain suffixes.

The output is intentionally structured around the information actually produced by the Actor. It does not claim to provide additional business fields that are not part of the documented dataset schema.

Why Use Pagesjaunes Email Scraper?

Manual contact research can require repeatedly searching for business categories, opening results, reviewing descriptions, identifying email addresses, and organizing the information into a usable dataset.

Pagesjaunes Email Scraper turns that repetitive search process into a configurable Actor workflow.

You can combine several search keywords with several email domains. For example, three keywords and two email domains create six keyword-domain search combinations. The configured email target applies independently to each combination.

This approach is useful when your research requires targeted contact discovery rather than a single broad search.

Benefits

Pagesjaunes Email Scraper provides several practical benefits for structured contact research:

• Automation — Reduce repetitive manual searching and copying.
• Targeted discovery — Use specific keywords to define the type of Pagesjaunes results you want to investigate.
• Geographic targeting — Add a location when research needs to focus on a particular area.
• Domain targeting — Select the email suffixes relevant to your project.
• Structured data — Receive consistent fields in the Apify dataset.
• Multiple searches — Process multiple keywords in a single run.
• Filtering — Exclude descriptions containing unwanted terms.
• Research-ready output — Use the resulting dataset for analysis, review, and other supported workflows.

How to Use the Pagesjaunes Email Scraper

Using the Actor is straightforward:

1. Open the Actor and provide one or more values in the keywords field.
2. Add a location if you want to narrow the search geographically.
3. Configure customDomains with the email suffixes you want to find.
4. Set maxEmails according to the desired target for each keyword-domain combination.
5. Optionally add excludeWords to skip unwanted descriptions.
6. Start the Actor run.
7. Review the resulting Pagesjaunes contact records in the dataset.

For initial testing, start with a small number of targeted keywords and a modest email target. Once you understand the type of results returned by your searches, you can broaden the configuration.

Input

The Actor requires keywords. The other fields are optional and provide additional control over the search.

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["restaurant", "plombier"]	Keywords or search queries used to find Pagesjaunes results
location	String	No	""	Optional country, state, city, or other geographic term
customDomains	Array of strings	No	["@gmail.com"]	Email domain suffixes to search for
maxEmails	Integer	No	5	Target number of addresses per keyword + domain combination; valid range is 1–10,000
excludeWords	Array of strings	No	[]	Words or phrases that cause matching descriptions to be skipped

The keywords field is an array, so multiple searches can be submitted in the same run.

Email domains should be entered as suffixes such as @gmail.com, @yahoo.com, @outlook.com, or another domain suffix relevant to your research.

The location field can remain empty when no geographic filter is required.

Input Example

{
  "keywords": [
    "restaurant",
    "plombier",
    "architecte"
  ],
  "location": "Paris",
  "customDomains": [
    "@gmail.com",
    "@outlook.com"
  ],
  "maxEmails": 10,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

This configuration searches for three business-related terms, narrows the searches to Paris, looks for two email domain suffixes, targets up to 10 addresses for each keyword-domain combination, and skips descriptions containing the specified exclusion terms.

Output

Pagesjaunes Email Scraper stores results in the Apify dataset using the following fields:

Field	Description
keyword	The keyword associated with the search that produced the result
title	The title of the matching search result
description	The indexed description associated with the result
url	The URL of the matching result
email	The extracted email address matching a configured domain suffix

The Actor prevents the same email address from being emitted more than once during the collection process.

The output is therefore suitable for reviewing Pagesjaunes contact discoveries as structured rows instead of manually collected text.

Output Example

{
  "keyword": "restaurant",
  "title": "Example Restaurant",
  "description": "Restaurant information and contact details including contact@example.com.",
  "url": "https://www.pagesjaunes.fr/example-restaurant",
  "email": "contact@example.com"
}

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

Use Cases

Pagesjaunes Email Scraper can support several practical research and data-collection scenarios.

• Local business research — Search for restaurants, tradespeople, professional services, and other business categories.
• Lead research — Discover publicly indexed business contact emails matching selected search criteria.
• Market research — Build datasets around specific business categories and locations.
• Regional research — Combine business keywords with cities, countries, or regions.
• Contact discovery — Search for email addresses associated with relevant Pagesjaunes results.
• Business intelligence — Organize publicly indexed contact information for further analysis.
• Dataset creation — Build structured collections of keyword, result, URL, description, and email data.
• Competitive research — Research businesses within selected categories or geographic areas.
• Research workflows — Collect structured contact records for subsequent manual review and analysis.

Competitive Advantages

The Actor offers several practical configuration options within one workflow:

• Multiple keywords can be processed in one run.
• Multiple email suffixes can be configured.
• Geographic filtering is available through the location field.
• Exclusion terms provide additional control over unwanted descriptions.
• Email targets can be adjusted using maxEmails.
• Results use a consistent five-field dataset structure.
• Duplicate email addresses are avoided during collection.

These capabilities give users control over both search targeting and the structure of the resulting contact dataset without requiring separate manual searches for every keyword.

Advantages

Pagesjaunes Email Scraper is particularly useful when the goal is targeted email discovery from Pagesjaunes search results.

Its main advantages include:

• Clear keyword-based input.
• Support for multiple search terms.
• Optional geographic targeting.
• Configurable email domains.
• Configurable collection targets.
• Description-based exclusion filtering.
• Structured Apify dataset output.
• Duplicate email prevention.
• Incremental dataset collection.

Limitations

There are several important limitations to understand before running large searches.

• Results depend on publicly indexed Pagesjaunes information available to the search process.
• An email address is only collected when it matches one of the configured domain suffixes.
• A keyword that is too narrow may produce few useful results.
• Adding exclusion terms can intentionally reduce the number of collected results.
• maxEmails is a target rather than a guarantee that the requested number of addresses will always be available.
• Free-tier runs are subject to a maximum of 100 collected emails. Paid runs do not have this code-level free-tier ceiling.
• Search availability can vary, so some keyword and location combinations may return fewer records than expected.

Pros and Cons

Pros	Cons
Supports multiple keywords	Narrow searches may produce fewer results
Supports multiple email domains	Only configured email suffixes are targeted
Optional location filtering	Results depend on publicly indexed information
Exclusion-word filtering	Exclusions can reduce the result set
Structured five-field output	maxEmails does not guarantee availability
Duplicate email prevention	Free-tier runs have a 100-email ceiling

Comparison With Alternative Approaches

Capability	Pagesjaunes Email Scraper	Manual / Typical Alternative
Keyword search	Configurable	User searches individually
Multiple keywords	Supported	Often requires repeated searches
Email-domain targeting	Supported	Usually handled manually
Location targeting	Supported	Manually added to searches
Exclusion filtering	Supported	Manual review may be required
Structured output	Dataset fields provided	May require manual organization
Duplicate prevention	Supported during collection	Requires manual checking
Collection target	Configurable	Manually controlled

This comparison focuses on workflow characteristics rather than claiming superiority over other tools or methods.

Best Practices

For better-targeted Pagesjaunes email research, consider the following practices:

• Use specific business or professional keywords instead of relying on one very broad term.
• Combine related keywords to expand relevant search coverage.
• Add a location when your research is geographically focused.
• Start with common email domains such as @gmail.com and add others when relevant.
• Use excludeWords only for terms you genuinely want to filter.
• Begin with a small maxEmails value when testing a new search strategy.
• Review sample results before increasing the collection target.
• If results are sparse, broaden the keyword or remove an overly restrictive location.
• Use multiple related terms rather than repeating nearly identical queries.
• Validate important contact information before using it in downstream business processes.

Troubleshooting

Invalid Input: Make sure keywords is provided as an array of strings. Check that maxEmails is an integer between 1 and 10,000.

Empty Results: Try broader keywords, remove an overly specific location, or add additional email domains. A search may simply have limited publicly indexed contact information.

Partial Results: Receiving fewer emails than requested does not necessarily indicate an input problem. The configured target represents the intended collection amount, while actual availability depends on matching indexed results.

Missing Email Addresses: Verify that the desired email suffix is included in customDomains. An address using another domain will not match the configured suffixes.

Too Many Exclusions: Review excludeWords if results are unexpectedly low. Any matching description is skipped, so broad exclusion terms can remove otherwise relevant results.

Free-Tier Limit: Free-tier runs have a maximum of 100 collected emails. If your requested target is higher, the free-tier ceiling can limit the final result count.

Frequently Asked Questions

What does the Pagesjaunes Email Scraper do? It searches for Pagesjaunes results using your keywords and extracts matching email addresses from publicly indexed result descriptions.

What input does the Pagesjaunes Email Scraper require? The required input is keywords, provided as an array of search terms. Location, email domains, maximum targets, and exclusion terms are optional.

Can I use multiple keywords? Yes. The keywords field accepts multiple strings, allowing you to search several business categories or related terms in one run.

Can I search a specific city or region? Yes. Use the optional location field to narrow searches using a country, state, city, or other geographic term.

Which email domains can I search? You can provide custom domain suffixes through customDomains, such as @gmail.com, @yahoo.com, or @outlook.com.

What does maxEmails control? It defines the intended number of addresses collected for each keyword and email-domain combination. It can be configured from 1 through 10,000.

Does maxEmails guarantee the requested number of emails? No. It is a collection target. The final number depends on how many matching publicly indexed addresses are available.

Can I exclude unwanted descriptions? Yes. Add words or phrases to excludeWords. Matching descriptions are skipped before an email is collected.

What data does the Actor return? The dataset contains keyword, title, description, url, and email.

Why did my run return fewer results than expected? The selected keyword, location, email domains, and exclusion terms can all affect coverage. Publicly indexed results may also contain fewer matching email addresses than your target.

Is the Actor suitable for automated workflows? Yes. The Actor accepts structured input and produces structured dataset records, making it suitable for repeatable data-collection workflows where the returned information meets your requirements.

NLP Keywords

• Pagesjaunes email extraction
• Pagesjaunes contact data
• Pagesjaunes business emails
• Pagesjaunes lead data
• Pagesjaunes search results
• Pagesjaunes business directory
• Pagesjaunes contact discovery
• Pagesjaunes email addresses
• Pagesjaunes data extraction
• Pagesjaunes lead generation
• French business directory
• business email extraction
• email domain filtering
• keyword-based email search
• location-based business search
• structured contact dataset
• public business information
• local business leads
• contact data collection
• business research data

Related Keywords

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• Pagesjaunes lead scraper
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• Pagesjaunes France scraper
• Pagesjaunes company email search
• Pagesjaunes local business leads
• Pagesjaunes keyword scraper
• Pagesjaunes location scraper
• Pagesjaunes email address extractor
• Pagesjaunes directory data scraper
• Pagesjaunes business contact extractor
• Pagesjaunes public contact data
• Pagesjaunes lead research tool

Final Overview

Pagesjaunes Email Scraper provides a structured way to search Pagesjaunes results for publicly indexed email addresses using configurable keywords, optional locations, custom email domains, and exclusion terms.

The Actor is designed around a simple workflow: define the businesses or services you want to research, optionally narrow the search geographically, select the email domains that matter to your project, and receive structured records containing the keyword, title, description, URL, and email.

For more focused research, use several specific keywords instead of relying on a single broad term. When results are limited, consider broadening the search terms, adjusting the location, or adding relevant email domains.

The resulting Apify dataset can then be reviewed and used as structured research data within your broader workflow.

Contact me: Alphascraper69@gmail.com