Npmjs Email Scraper

🔍 npm Email Scraper – Overview

npm Email Scraper is an Apify Actor built to discover publicly indexed email addresses associated with npm search results using targeted keywords, email domains, and optional geographic terms.

Instead of manually searching npm-related pages one query at a time, the npm Email Scraper lets you define a list of keywords and email suffixes, then builds targeted searches around those combinations. Matching contact emails are collected into a structured Apify Dataset together with the search keyword, result title, description, and URL.

The Actor is especially useful for developer research, npm package ecosystem research, technical prospecting, software-related lead discovery, developer outreach, and contact-data research where publicly indexed information is relevant.

💡 Why use npm Email Scraper?

• Search for npm-related contacts using specific keywords.
• Target different email providers or custom domains.
• Narrow searches by country, state, or city.
• Exclude unwanted terms from search-result descriptions.
• Collect structured email lead records in an Apify Dataset.
• Automatically avoid duplicate email addresses during a run.

The easiest workflow is simple: enter your keywords, optionally add a location, select the email domains you want to find, choose an email target, and run the Actor.

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🔹 npm Email Scraper – Key Features

The npm Email Scraper is designed around targeted search rather than broad, unfiltered contact collection. Its configuration gives you several ways to control search intent and improve the relevance of returned results.

⭐ Key Features

• Keyword-based npm contact discovery
• Multiple keywords per run
• Optional location targeting
• Multiple custom email domains
• Configurable email collection target
• Exclude-word and phrase filtering
• Duplicate email prevention
• Incremental Dataset output
• Resume support for interrupted runs
• Structured title, description, URL, and email fields

🎯 Keyword-Based Search

The required keywords input accepts multiple search terms. This makes it possible to target different developer roles, technical specialties, or npm-related topics in one run.

For example, instead of using only Developer, you can provide:

• Web Developer
• JavaScript Developer
• Node.js Developer
• Frontend Developer
• Backend Developer
• npm Package Developer

More specific keywords can make search intent clearer and help you build a more focused dataset.

📧 Custom Email Domains

The npm Email Scraper supports custom email suffixes instead of limiting searches to one provider.

Examples include:

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

Each selected domain is processed separately with each keyword.

🌍 Location Filtering

The optional location field allows you to add a country, state, or city to the search.

For example:

• United States
• California
• San Francisco
• London
• Canada

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

🚫 Exclude Unwanted Results

The excludeWords option helps remove search-result snippets containing terms you do not want.

For example:

• crypto
• onlyfans
• gaming

If an exclusion term appears in a matching result description, that entire snippet is skipped and no email is extracted from it.

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🔹 npm Email Scraper – What Data You Can Extract

The npm Email Scraper produces structured records from matching search results.

The primary contact information is the extracted email address, while additional fields provide context about where the address was discovered.

📊 Output Fields

• keyword — The keyword responsible for the search.
• title — The title of the matching search result.
• description — The publicly available search-result description or snippet.
• url — The URL associated with the search result.
• email — The discovered email address.
• network — The source identifier included by the Actor in each pushed record.

The configured Dataset view displays keyword, title, description, url, and email as its main table columns.

📋 Example Output

A representative record has this structure:

{
  "network": "npm.com",
  "keyword": "Web Developer",
  "title": "Example npm Result",
  "description": "Developer contact information ... developer@example.com",
  "url": "https://www.npmjs.com/...",
  "email": "developer@example.com"
}

Actual values depend on the publicly indexed results available for your chosen search terms.

The Actor extracts emails from search-result descriptions. Therefore, the presence and quantity of contact information depend on what is publicly indexed and visible in matching results.

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🔹 npm Email Scraper – How to Use It

Using the npm Email Scraper requires only a few input settings.

1. Enter Keywords

Add one or more keywords to the keywords field.

Example:

{
  "keywords": [
    "Developer",
    "Web Developer",
    "JavaScript Developer"
  ]
}

Using several related terms allows the Actor to search different combinations rather than relying on one broad phrase.

2. Add a Location

If geographic targeting is useful, enter a country, state, or city.

Example:

San Francisco

To search without geographic filtering, leave location empty.

3. Select Email Domains

Add the email suffixes you want to target.

Example:

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

Each domain is searched independently for each keyword.

4. Set maxEmails

The maxEmails input controls the target for each keyword + domain combination.

For example, if you provide:

• 3 keywords
• 2 email domains
• maxEmails = 20

the Actor processes 6 separate combinations and targets up to 20 emails for each combination, subject to available results and duplicate handling.

5. Add Exclusion Terms

If certain categories or words should be ignored, add them to excludeWords.

Example:

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

6. Start the Run

After configuring the inputs, start the Actor.

Results are pushed incrementally into the npm Emails Dataset, while discovered email addresses are tracked to help prevent duplicates.

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🔹 How to Scrape npm Emails by Keyword

To scrape npm emails by keyword, use the required keywords field with specific search terms related to your research objective.

For example:

{
  "keywords": [
    "Node.js Developer",
    "JavaScript Developer",
    "Frontend Developer"
  ],
  "customDomains": [
    "@gmail.com",
    "@outlook.com"
  ],
  "maxEmails": 10
}

The Actor creates targeted searches around each keyword and email-domain combination.

This approach can be useful for developer discovery, software ecosystem research, technical outreach, package research, and prospecting.

Keep in mind that maxEmails is a target rather than a guarantee. If publicly indexed search results do not contain enough matching addresses, the Actor cannot manufacture additional contacts.

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🔹 How to Find npm Developer Emails

If your goal is developer contact discovery, use specific role or technology keywords.

Useful examples include:

• Web Developer
• JavaScript Developer
• Node.js Developer
• Frontend Developer
• Backend Developer
• React Developer
• TypeScript Developer
• Software Developer
• npm Package Developer

You can combine these keywords with multiple email domains to expand the range of publicly indexed contact addresses considered by the search.

For more geographically focused research, add a city or country through the location field.

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🔹 Can I Search npm Contacts by Location?

Yes. The npm Email Scraper supports an optional location field.

You can enter a country, state, or city, such as:

United States

or:

New York

The location is incorporated into the targeted search.

If the resulting dataset is too small, try removing the location filter or using a broader geographic term. Narrow searches can naturally produce fewer publicly indexed results.

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🔹 Can I Search Multiple Email Domains?

Yes. The customDomains input accepts multiple email suffixes.

For example:

[
  "@gmail.com",
  "@yahoo.com",
  "@outlook.com",
  "@company.com"
]

The Actor processes each keyword and domain combination independently.

This can be useful when researching both common email providers and organization-specific domains.

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🔹 Does npm Email Scraper Remove Duplicate Emails?

Yes. The Actor keeps track of email addresses already discovered during the run and does not register the same email address repeatedly.

This helps reduce duplicate contact records when the same address appears across multiple search results or search combinations.

Duplicate prevention does not mean every record represents a unique person or organization. One publicly listed address can legitimately appear in multiple relevant contexts.

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🔹 npm Email Scraper – Use Cases

The npm Email Scraper can support research and prospecting workflows involving publicly indexed npm-related contact information.

💼 Use Case Ideas

• Developer research
• npm ecosystem research
• Software developer discovery
• JavaScript community research
• Node.js ecosystem research
• Technical prospecting
• Developer outreach research
• Software marketing research
• Package ecosystem analysis
• B2B technology research

💻 Developer Discovery

Technology companies, agencies, and researchers can use role-specific keywords to discover publicly indexed developer-related contacts.

📦 npm Ecosystem Research

Search terms related to developers, JavaScript, Node.js, packages, or other technical roles can help create focused research datasets.

📣 Technical Outreach

Organizations conducting legitimate developer-focused outreach can use publicly available contact information as part of their research process, subject to applicable privacy and anti-spam requirements.

🌎 Geographic Developer Research

Adding a location allows research to focus on particular cities, states, or countries.

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🔹 npm Email Scraper – Input

The Actor provides five user-facing inputs.

Input	Type	Required	Default	Purpose
keywords	Array	Yes	Developer, Web Developer	Search queries
location	String	No	Empty	Country, state, or city filter
customDomains	Array	No	@gmail.com	Email suffixes
maxEmails	Integer	No	5	Target per keyword + domain
excludeWords	Array	No	Empty	Skip unwanted snippets

keywords

This is the only required field.

It accepts a list of search keywords or queries. The Actor's configured examples focus on developer-related terms.

For broader coverage, provide several related terms.

location

An optional geographic filter.

Leave it blank when geographic targeting is unnecessary.

customDomains

A list of email suffixes to search for.

The default value is:

@gmail.com

maxEmails

An integer from 1 to 10,000.

The target applies independently to each keyword + domain combination.

excludeWords

An optional list of words or phrases.

Single words are matched as whole words, while phrases are matched as phrases. Matching is case-insensitive.

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🔹 npm Email Scraper – Output Format

The Actor stores collected records in the npm Emails Dataset.

The configured default Scraped Leads view presents these columns:

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

Each pushed record also includes a network value.

The description is particularly useful because it provides contextual information from the search result where the email was discovered.

The url provides the associated result destination, allowing users to review the source context when appropriate.

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🔹 npm Email Scraper – Pricing and Limits

The provided Actor configuration does not define a fixed monetary price.

The relevant Actor-level limits and behavior are:

💰 Pricing & Limit Information

• maxEmails accepts values from 1 to 10,000.
• The requested email target applies per keyword + domain combination.
• Free-tier runs cap the requested value at 100 emails per keyword + domain combination.
• Paid runs are not restricted by this specific free-tier ceiling.
• A higher target does not guarantee a higher number of results.
• Actual collection depends on publicly indexed search results.
• Wider searches may require more runtime.

The input documentation specifies a default run timeout of 3600 seconds. For broad searches, users may need to increase the timeout through the applicable run options.

No fixed subscription or per-run monetary amount should be assumed from the Actor configuration alone.

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🔹 npm Email Scraper – Tips and Best Practices

A strong search strategy starts with specific keywords and realistic targets.

💡 Recommended Tips

• Use multiple specific keywords instead of one generic keyword.
• Combine developer roles with technology-related terms.
• Test a small maxEmails value before running a large search.
• Add several relevant email domains when broader coverage is needed.
• Use a location when regional targeting matters.
• Remove the location when the search is too narrow.
• Use excludeWords to filter unwanted categories.
• Broaden your keywords when very few contacts are found.
• Review result quality before increasing collection targets.

For example, searching only Developer may be broader than searching for Node.js Developer, JavaScript Developer, and Web Developer.

Similarly, a city-specific search can produce fewer results than an unrestricted search.

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🔹 What Is npm Email Scraper Best Used For?

The npm Email Scraper is designed for targeted discovery of publicly indexed email addresses associated with npm-related search results.

It is particularly useful when you already know the type of developer, technical role, location, or email domain you want to research.

The combination of keyword targeting, location filtering, custom domains, exclusion rules, and structured output makes it possible to create focused contact datasets instead of manually collecting individual search results.

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🔹 Frequently Asked Questions

❓ What is npm Email Scraper?

npm Email Scraper is an Apify Actor that searches publicly indexed npm-related results and extracts matching email addresses based on keywords and selected email domains.

❓ How does npm Email Scraper find email addresses?

The Actor performs targeted search queries for npm-related results using the supplied keyword, email domain, and optional location. Matching email addresses are extracted from search-result descriptions.

❓ What data does npm Email Scraper extract?

The default Dataset view contains keyword, title, description, url, and email. Each pushed record also includes a network identifier.

❓ Can I search for npm developer emails?

Yes. Use terms such as Web Developer, JavaScript Developer, Node.js Developer, or other relevant technical roles.

❓ Can I use multiple keywords in npm Email Scraper?

Yes. keywords is an array, so multiple search terms can be processed in one run.

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

Yes. Add the desired suffixes to customDomains, such as @gmail.com, @yahoo.com, and @outlook.com.

❓ Can I use a custom company email domain?

Yes. The customDomains field accepts custom email suffixes in addition to common providers.

❓ Can npm Email Scraper target a city or country?

Yes. Enter the desired country, state, or city in the optional location field.

❓ Why did my npm email search return fewer contacts?

The Actor depends on publicly indexed search results. A narrow keyword, location, or email-domain selection can reduce available results.

Try broader keywords, additional domains, or remove the location filter.

❓ What does maxEmails mean in npm Email Scraper?

maxEmails is the target for each individual keyword + domain combination. It is not one shared target for the entire run.

❓ Does npm Email Scraper remove duplicate emails?

Yes. The Actor tracks previously discovered email addresses and avoids registering the same address repeatedly during the run.

❓ Can I exclude unwanted npm search results?

Yes. Add words or phrases to excludeWords. If a matching term appears in a result description, that snippet is skipped.

❓ Does maxEmails guarantee the requested number of contacts?

No. It is a collection target. The Actor can only return matching addresses that are publicly available in relevant search results.

❓ Is npm Email Scraper suitable for developer lead generation?

It can support developer research and prospecting workflows involving publicly indexed contact information. Always ensure your use complies with applicable privacy, anti-spam, and platform requirements.

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🔹 Support

If you need help improving your npm Email Scraper search strategy, start by testing a few focused keywords and a small email target.

For sparse results, consider broadening your keywords, adding relevant email domains, or removing the location filter. For unwanted results, use excludeWords to refine the search.

For custom requirements, improvements, or a bespoke Actor build, contact:

contact me by email : alphascraper69@gmail.com