Annuaire-entreprises Email Scraper

Annuaire-entreprises Email Scraper

Annuaire-entreprises Email Scraper extracts publicly indexed email addresses from Annuaire-entreprises search results using targeted keywords and configurable email domain suffixes. It is designed for users who need structured contact data for business research, lead discovery, market research, company research, and dataset creation.

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

The Actor supports multiple keyword and domain combinations, making it possible to organize searches around different business terms and email types. Results are delivered as structured dataset records that can be reviewed and used in downstream research or data workflows.

What Is an Annuaire-entreprises Email Scraper?

Annuaire-entreprises Email Scraper is an email extraction and business research Actor focused on publicly indexed Annuaire-entreprises pages.

Instead of manually searching through company-related pages and copying publicly displayed email addresses, you can define your search criteria and let the Actor collect matching email addresses into a structured dataset.

The Actor searches for results associated with your keywords and configured email domains. Optional location filtering can narrow the search geographically, while exclusion words help remove result descriptions that contain terms you do not want to process.

This makes the Actor useful when your goal is to turn targeted Annuaire-entreprises search activity into organized contact data.

Key Features

Feature	Description	User Benefit
Multiple keywords	Search using a list of keywords or queries	Cover several business topics in one run
Location filtering	Optionally specify a country, state, or city	Narrow research to a geographic area
Custom email domains	Define email suffixes such as @gmail.com or @yahoo.com	Focus extraction on relevant email types
Per-combination email target	Configure maxEmails for each keyword and domain combination	Control the amount of data collected
Exclusion filtering	Skip descriptions containing configured words or phrases	Reduce unwanted matches
Duplicate prevention	Previously collected email addresses are not added again	Keep results cleaner
Structured dataset output	Results contain keyword, title, description, URL, and email	Simplify analysis and lead research
Multiple search combinations	Keywords and domains can be combined in the same run	Expand targeted research coverage

What Data Can You Extract?

The Actor returns five primary user-facing fields for each collected email address:

• Keyword — the keyword associated with the search that produced the result.
• Title — the title of the indexed result.
• Description — the available result description containing the extracted contact information.
• URL — the source result URL.
• Email — the email address matching one of your configured domain suffixes.

The output is intentionally structured so that each record connects an email address with its search context and source information.

This can help users understand where an email was discovered instead of receiving an unstructured list of addresses without context.

Why Use This Actor?

Manual business contact research can involve repeating similar searches, reviewing result descriptions, identifying relevant email addresses, and organizing the information afterward.

Annuaire-entreprises Email Scraper provides a configurable workflow for this type of research. Multiple keywords can be submitted together, optional geographic targeting can be applied, and email domain suffixes can be customized.

The structured dataset is particularly useful when you need to review contact information alongside the keyword and source URL that produced it.

The Actor is also suitable for iterative research. You can begin with a small keyword set, inspect the results, and then adjust keywords, domains, locations, or exclusion terms for subsequent runs.

Benefits

• Automated email collection — Reduce repetitive manual searching for publicly indexed contact information.
• Targeted research — Use specific business terms instead of relying on one broad keyword.
• Geographic filtering — Add a location when your research focuses on a particular market or area.
• Flexible domain selection — Search for specific email suffixes according to your research requirements.
• Structured results — Receive consistent fields for easier review and analysis.
• Multiple search combinations — Combine several keywords with several email domains.
• Cleaner datasets — Duplicate email addresses are not repeatedly added during collection.
• Exclusion control — Remove result descriptions containing unwanted words or phrases.

How to Use the Annuaire-entreprises Email Scraper

A typical workflow is straightforward:

1. Enter one or more keywords in the keywords field.
2. Optionally enter a location such as a country, state, or city.
3. Select the email domains you want to search for in customDomains.
4. Set maxEmails according to the amount of data you want to target.
5. Add excludeWords if certain descriptions should be skipped.
6. Start the Actor run.
7. Review the structured dataset containing the collected email records.

For better targeting, use several specific related search terms rather than relying only on a broad term.

For example, instead of using only entreprise, you could research more specific terms related to your target business segment.

Input

The Actor requires the keywords field. All other configuration fields are optional.

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["entreprise", "SIREN"]	Keywords or queries used for the search
location	String	No	Empty	Optional country, state, or city used to narrow results
customDomains	Array of strings	No	["@gmail.com"]	Email domain suffixes to search for
maxEmails	Integer	No	5	Target number of emails for each keyword + domain combination; range 1–10,000
excludeWords	Array of strings	No	[]	Words or phrases that cause matching descriptions to be skipped

The keywords field accepts multiple values. Specific terms generally provide more targeted search intent than very broad terms.

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

For customDomains, use complete suffixes such as @gmail.com, @yahoo.com, @outlook.com, or a company-specific domain suffix.

The maxEmails value controls the target for each keyword and domain combination rather than representing one shared target across the entire keyword/domain matrix. The actual number returned can be lower when matching publicly indexed results are unavailable.

Input Example

{
  "keywords": [
    "entreprise",
    "PME",
    "dirigeant"
  ],
  "location": "Paris",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

This example searches several business-related terms, narrows the search to Paris, checks three email domain suffixes, targets up to 20 addresses for each keyword/domain combination, and skips descriptions matching the specified exclusion terms.

Output

Each collected result is stored as a structured dataset record.

Field	Description
keyword	Keyword used for the search that produced the result
title	Title of the indexed search result
description	Result description associated with the source page
url	URL of the indexed result
email	Email address extracted from the result description

The dataset view is designed around these five fields, making the output suitable for reviewing source context together with contact information.

The Actor also prevents the same email address from being added repeatedly during a run. Therefore, the number of final records may differ from the theoretical sum of all configured targets when the same address appears across multiple searches.

Output Example

{
  "keyword": "PME",
  "title": "Example Company",
  "description": "Example company information with contact@example.com listed in the indexed description.",
  "url": "https://annuaire-entreprises.data.gouv.fr/...",
  "email": "contact@example.com"
}

The example values are illustrative. Actual titles, descriptions, URLs, and email addresses depend on the publicly indexed results available for the search criteria.

Use Cases

Annuaire-entreprises Email Scraper can support several research-oriented workflows:

• Business lead research — Find publicly indexed email addresses associated with targeted business searches.
• Market research — Collect contact-related data around specific company categories or business terms.
• Company research — Search using terms such as company types, business roles, or identifiers.
• Local market research — Combine business keywords with a city or region.
• B2B research — Search targeted business terminology and company-domain email addresses.
• Dataset creation — Build structured datasets containing email, source URL, title, description, and keyword context.
• Contact discovery — Identify publicly indexed email addresses associated with relevant search results.
• Research automation — Repeat structured searches using different keyword and domain combinations.

Use the Actor only in ways that comply with applicable laws, regulations, website terms, and your own data-use requirements.

Competitive Advantages

The practical strengths of this Actor come from its configuration and structured output:

• Multiple keywords can be processed in one run.
• Multiple email domains can be configured.
• Location can be added without requiring a separate Actor configuration.
• Exclusion words can remove unwanted descriptions before email extraction.
• Results retain their search keyword and source context.
• Email addresses are deduplicated during collection.
• The output is organized into a consistent five-field dataset.

These characteristics make the Actor suitable for focused research rather than requiring users to manually organize every discovered contact.

Advantages

• Flexible targeting: Combine keywords, locations, and email domains.
• Structured contact records: Every result retains useful search and source context.
• Configurable collection: Adjust the email target according to the size of your research task.
• Filtering support: Exclude unwanted descriptions using configurable terms.
• Research-friendly output: The dataset can be reviewed directly using consistent fields.

Limitations

• Results depend on publicly indexed information available for the requested search criteria.
• The Actor cannot guarantee that every company or profile has a publicly indexed email address.
• A configured maxEmails value is a target, not a guarantee that the requested number will be found.
• Narrow keywords or locations can produce fewer results.
• Exclusion terms can intentionally remove descriptions that would otherwise contain matching email addresses.
• Duplicate email addresses are not repeatedly added to the dataset.
• Free-tier usage applies a maximum of 100 collected emails when the configured target would otherwise exceed that limit.
• Actual results can therefore be lower than the theoretical number implied by the keyword/domain combinations.

Pros and Cons

Pros	Cons
Multiple keyword searches	Narrow searches may return limited results
Custom email domain targeting	Requested targets are not guaranteed
Optional location filtering	Results depend on publicly indexed information
Exclusion word filtering	Exclusions can remove otherwise matching descriptions
Structured five-field output	Duplicate addresses are not repeated
Suitable for targeted research	Free-tier collection is limited to 100 emails

Comparison With Alternative Approaches

Capability	This Actor	Manual / Typical Alternative
Keyword-based research	Supported	Usually requires repeated manual searches
Multiple keywords	Supported	Often handled separately
Custom email domains	Supported	Requires manual search refinement
Location filtering	Supported	Requires manually adding geographic terms
Exclusion filtering	Supported	Usually performed manually
Structured output	Keyword, title, description, URL, email	May require manual organization
Duplicate prevention	Supported during collection	Often requires separate cleanup
Dataset creation	Direct structured records	May require spreadsheet preparation

The Actor is intended to automate repetitive search and organization work while keeping the resulting records structured.

Best Practices

• Start with a small maxEmails value to evaluate the quality of your search terms.
• Use several specific keywords instead of depending on one very broad term.
• Use related business terms when researching a particular industry or role.
• Add a location when geographic relevance matters.
• Leave the location empty when you want broader search coverage.
• Select email domains that match your research objective.
• Add exclusion terms only when you are confident that matching descriptions should be omitted.
• Review the first results before expanding a large search.
• If results are sparse, broaden the keywords or remove an overly restrictive location.
• Validate important contact information before using it in downstream workflows.

Troubleshooting

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

Empty results: Try broader or more specific keywords depending on the research goal. You can also remove the location filter or test additional email domains.

Few results: A narrow keyword, location, or domain can reduce the number of matching results. Adding related search terms may increase coverage.

Missing email addresses: The Actor only extracts matching email addresses that are available in the indexed result descriptions. A source page may exist without exposing an email address in the indexed information.

Unexpectedly fewer records: The requested target is not a guarantee. Publicly indexed results may not contain enough matching email addresses, and duplicate addresses are not added repeatedly.

Excluded results: Review excludeWords if expected records are missing. A matching exclusion term causes the associated description to be skipped.

Partial runs: Review the resulting dataset and consider running another targeted search with different keywords or domains when additional coverage is required.

Frequently Asked Questions

What does the Annuaire-entreprises Email Scraper do?

It searches publicly indexed Annuaire-entreprises results using your configured keywords and email domains, then returns matching email addresses with their keyword, title, description, and URL.

What data does the Annuaire-entreprises Email Scraper return?

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

Can I use multiple keywords?

Yes. The required keywords field accepts an array of search terms, allowing multiple targeted searches in one run.

Can I search by location?

Yes. The optional location field accepts a country, state, or city and can be left empty for searches without a geographic filter.

Can I choose which email domains to search?

Yes. Use customDomains to provide email suffixes such as @gmail.com, @yahoo.com, @outlook.com, or other domain suffixes relevant to your research.

What does maxEmails control?

It specifies the target number of email addresses for each keyword and domain combination. It can be configured from 1 to 10,000 in the Actor input schema.

Does the Actor guarantee the requested number of emails?

No. maxEmails is a collection target. The available number depends on matching publicly indexed results, configured filters, and duplicate addresses.

How does excludeWords work?

If a result description contains an excluded single word or phrase, the description is skipped and no email is extracted from it. Matching is case-insensitive. Single words use whole-word matching, while phrases are matched as phrases.

Why did I receive fewer results than expected?

The search may not contain enough publicly indexed descriptions with matching email domains. Narrow keywords, locations, domain filters, exclusion terms, and duplicate addresses can also reduce the final dataset size.

Is the Actor suitable for automated research workflows?

Yes. Its structured input and dataset output make it suitable for repeatable research and data-collection workflows where publicly indexed business contact information is relevant.

NLP Keywords

• Annuaire-entreprises email scraper
• Annuaire-entreprises email extraction
• Annuaire-entreprises contact data
• Annuaire-entreprises business contacts
• Annuaire-entreprises lead extraction
• Annuaire-entreprises data extraction
• Annuaire-entreprises company research
• Annuaire-entreprises email finder
• French business email scraper
• French company contact scraper
• French business directory scraper
• business email extraction
• company email discovery
• public business contact data
• keyword-based email extraction
• location-based business search
• custom email domain search
• structured contact dataset
• business lead research
• company contact research

Related Keywords

• Annuaire entreprises scraper
• Annuaire entreprises email finder
• Annuaire entreprises contact scraper
• Annuaire entreprises data scraper
• Annuaire entreprises lead scraper
• France business email scraper
• French company email finder
• French business directory email extraction
• company email scraper France
• business directory email scraper
• company contact data extraction
• public company email extraction
• business lead data scraper
• email extraction by keyword
• email scraper with location filter
• custom domain email scraper
• business contact discovery tool
• company research scraper
• B2B email research scraper
• structured business contact extraction

Final Overview

Annuaire-entreprises Email Scraper provides a structured way to research publicly indexed business contact information using targeted keywords, optional geographic filters, custom email domains, and exclusion terms.

The Actor accepts multiple search keywords and returns organized records containing the keyword, result title, description, URL, and matching email address. Configurable collection targets and duplicate prevention help keep research runs organized, while exclusion filtering provides additional control over which descriptions are processed.

For broader coverage, use several relevant keywords and email domains. For focused research, combine specific business terms with a location and carefully selected filters. When results are limited, review the search criteria and adjust the terms rather than assuming the requested target will always be available.

Contact me: Alphascraper69@gmail.com