Basis Email Scraper

Basis Email Scraper

Basis Email Scraper is an Apify Actor designed to find publicly available email addresses associated with relevant Basis search results using targeted keywords, optional locations, and configurable email domains.

You provide one or more search keywords, choose optional geographic targeting, specify the email domains you want to find, and optionally exclude results containing particular words or phrases. The Actor searches for relevant Basis pages and extracts matching email addresses from available result descriptions.

The resulting dataset contains the search keyword, result title, description, URL, and extracted email address. This makes the Actor useful for business research, contact discovery, market research, lead research, and structured dataset creation involving Basis-related profiles and organizations.

What Is a Basis Email Scraper?

A Basis Email Scraper automates the process of discovering publicly available email addresses connected with relevant Basis search results.

Instead of manually searching Basis-related pages and checking individual search results for contact information, you can provide targeted search terms and let the Actor collect matching email addresses into a structured Apify dataset.

The Actor supports multiple keywords and multiple email-domain suffixes. You can also provide a country, state, or city to narrow the search and use exclusion terms to skip descriptions containing unwanted words or phrases.

The output is organized into individual dataset records, making the collected information easier to review, filter, analyze, and use in downstream workflows.

Key Features

Feature	Description	User Benefit
🔍 Keyword-based search	Search using one or multiple keywords or queries	Target specific professions, services, industries, or topics
📧 Custom email domains	Specify domains such as @gmail.com, @yahoo.com, or your own domain suffixes	Focus collection on the email types you need
📍 Location targeting	Optionally provide a country, state, or city	Narrow searches to a geographic area
🚫 Exclude words	Skip result descriptions containing specified words or phrases	Reduce unwanted results
📊 Structured dataset	Results are stored with keyword, title, description, URL, and email	Makes collected data easier to analyze
🔄 Multiple combinations	Keywords and domains are processed as separate combinations	Expand coverage across different search intents
♻️ Progress persistence	Run progress and discovered email addresses are persisted	Helps the Actor continue after an interruption
🧹 Email deduplication	Previously discovered email addresses are tracked	Reduces duplicate email records

What Data Can You Extract?

The Basis Email Scraper returns structured contact-discovery data for each matching result.

The main data categories are:

• Search keyword — The keyword or query associated with the result.
• Result title — The title associated with the discovered search result.
• Description — The available result description containing the relevant information.
• URL — The URL associated with the result.
• Email — The email address matching one of your configured domain suffixes.

The Actor focuses specifically on email addresses found in relevant search-result descriptions. It does not claim that every email address associated with a Basis page will be discovered.

Why Use This Actor?

Manual contact discovery can involve repeating the same searches with different keywords, locations, and email-domain variations.

Basis Email Scraper provides a configurable workflow for this type of research. Instead of manually collecting individual records, you can define your search strategy and receive structured results in an Apify dataset.

It is particularly useful when your research requires several related search terms. For example, instead of searching only for IT service, you can use terms such as IT consultant, software developer, web developer, or technology company to explore different search intents.

The optional location field can further refine searches when geographic targeting is important.

Benefits

Using the Basis Email Scraper can provide several practical benefits:

• Automated contact discovery without manually reviewing every search result.
• Structured data collection with consistent output fields.
• Flexible search targeting through multiple keywords.
• Email-domain filtering for targeted contact research.
• Geographic targeting through the optional location field.
• Noise reduction through configurable exclusion words.
• Duplicate reduction through email tracking.
• Persistent progress for longer collection tasks.
• Scalable research workflows by combining multiple search terms and domains.

Results should always be reviewed and validated according to your own research requirements before being used for business or other purposes.

How to Use the Basis Email Scraper

Using the Actor is straightforward:

1. Enter one or more keywords in the keywords input.
2. Optionally enter a country, state, or city in location.
3. Add the email domains you want to search for in customDomains.
4. Set maxEmails for each keyword and email-domain combination.
5. Optionally add unwanted words or phrases to excludeWords.
6. Start the Actor run.
7. Review the resulting records in the Apify dataset.

For initial testing, start with a small number of focused keywords and a modest email limit. You can broaden the configuration after reviewing the quality and relevance of the results.

Input

The Actor accepts a JSON object containing one required field and four configurable fields.

The required field is keywords. The other inputs allow you to control geographic targeting, email-domain matching, collection limits, and result filtering.

Input Fields

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["IT service", "developer"]	Search keywords or queries to use for Basis discovery
location	String	No	""	Optional country, state, or city used to narrow searches
customDomains	Array of strings	No	["@gmail.com"]	Email-domain suffixes to search for
maxEmails	Integer	No	5	Maximum target per keyword + domain combination; allowed 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 search terms. More specific related terms can help target different search intents.

The location field can be left empty when geographic filtering is not needed.

The customDomains field can contain multiple email suffixes. Examples include @gmail.com, @yahoo.com, @outlook.com, or a relevant custom domain suffix.

The maxEmails value applies independently to each keyword + domain combination. For example, two keywords combined with three domains create six combinations, with the configured target applied to each combination.

The excludeWords field accepts words or phrases. Single-word exclusions are matched case-insensitively as whole words, while phrases are matched case-insensitively as phrases.

Input Example

{
  "keywords": [
    "IT service",
    "software developer",
    "web developer"
  ],
  "location": "Dhaka",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 10,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

This configuration searches several related technology terms, narrows the search to Dhaka, checks multiple email domains, targets up to 10 addresses for each keyword + domain combination, and skips descriptions containing the specified exclusions.

Output

The Actor stores results in the Basis Emails Dataset.

Each discovered email is associated with the keyword that produced the result and the corresponding result information. The output is designed to provide enough context to understand where an email address was found.

The dataset contains five primary fields.

Output Fields

Field	Description
keyword	The keyword or query used to find the result
title	Title of the matching search result
description	Description or snippet associated with the result
url	URL of the matching result
email	Extracted email address matching the configured domain

The description field is particularly useful for reviewing the context in which an email address was discovered.

The url field provides a reference to the associated result, allowing users to review the source context themselves.

Output Example

{
  "keyword": "IT service",
  "title": "Example IT Services",
  "description": "Example IT Services provides technology solutions. Contact us at example@gmail.com for more information.",
  "url": "https://basis.org.bd/example-profile",
  "email": "example@gmail.com"
}

The example above illustrates the documented output structure. Actual titles, descriptions, URLs, and email addresses depend on the available search results.

Use Cases

The Basis Email Scraper can support several research and data-collection workflows.

• Business lead research — Find publicly available contact information related to specific business terms.
• B2B research — Explore contacts associated with technology, professional services, and other targeted searches.
• Market research — Collect structured information for analyzing organizations or service categories.
• Supplier and service research — Search for businesses using specific service-related keywords.
• Geographic research — Use locations to focus discovery on a particular city, state, or country.
• Contact discovery — Identify publicly available email addresses matching selected domains.
• Business intelligence — Combine keyword, description, URL, and email information for further analysis.
• Dataset creation — Build structured datasets from multiple search combinations.
• Competitive research — Explore organizations associated with particular business or industry terms.
• Research automation — Reduce repetitive manual searching across multiple keyword combinations.

Advantages

The Actor offers practical configuration options for users who need targeted Basis contact research.

• Multiple keywords can be supplied in a single run.
• Multiple email domains can be configured.
• Location can be used to narrow search intent geographically.
• Exclusion words can remove unwanted descriptions from consideration.
• Results are stored in a structured dataset.
• Email addresses are tracked to reduce duplicate collection.
• Progress is persisted during the run.
• The output includes contextual information rather than only an email address.

Limitations

There are several important considerations when using the Actor:

• Results depend on publicly available information surfaced in relevant search results.
• An email address is not guaranteed to exist for every matching result.
• The requested maxEmails value is a target or cap, not a guarantee that the requested number of emails will be found.
• Narrow keywords can produce few or no relevant results.
• Narrow geographic targeting can reduce the available result pool.
• Exclusion terms may remove otherwise relevant results when their descriptions contain the specified terms.
• Results can vary depending on the information available for the selected search terms and domains.
• The Actor extracts email addresses matching the configured domain suffixes rather than attempting to identify every possible email format.

The Actor's input schema permits maxEmails from 1 through 10,000. Free-tier runs can have a 100-email configuration ceiling applied by the Actor; paid runs are not subject to that specific free-tier ceiling.

Pros and Cons

Pros	Cons
Multiple keyword support	Results depend on publicly available information
Custom email-domain targeting	Some searches may return few results
Optional geographic targeting	Narrow searches can reduce coverage
Exclusion filtering	Requested limits do not guarantee results
Structured dataset output	Results should be reviewed for relevance
Duplicate email tracking	Only configured email domains are targeted
Persistent progress	Availability of contact information varies

Comparison With Alternative Approaches

Capability	Basis Email Scraper	Manual Search
Multiple keyword searches	Supported	Requires repeated manual searches
Multiple email domains	Supported	Requires separate search variations
Location targeting	Supported	Requires manual query refinement
Exclusion filtering	Supported	Usually manual
Structured dataset	Supported	Requires manual organization
Duplicate tracking	Supported	Requires manual checking
Progress persistence	Supported	Usually manual
Contextual result fields	Keyword, title, description, URL, email	Depends on manual collection

The Actor is intended to automate structured collection rather than replace human review of important contact information.

Competitive Advantages

The main strengths of this Basis Email Scraper are its configurable search strategy and structured output.

Users can combine different keyword ideas with different email-domain suffixes, optionally narrow searches geographically, and exclude unwanted terms. This makes the Actor suitable for focused research rather than relying on a single broad search phrase.

The output also preserves the keyword, title, description, and URL alongside each email. This gives users additional context when reviewing collected contacts.

Best Practices

For better research workflows:

• Use specific keywords that describe the type of organization, professional role, service, or industry you want to research.
• Use several closely related keywords rather than relying on one broad term.
• Add relevant email domains when you need wider coverage.
• Use location when geographic targeting is important.
• Leave location empty when broader coverage is preferred.
• Start with a small maxEmails value to evaluate result quality.
• Use excludeWords carefully so useful results are not filtered unnecessarily.
• Review descriptions and URLs before relying on an extracted email.
• Broaden keywords when a run produces sparse results.
• Test your configuration before launching a larger research run.

Troubleshooting

Invalid Input

Check that keywords is provided as an array of strings. Verify that numeric settings such as maxEmails are within the documented range of 1–10,000.

Empty Results

Try broader or more specific related keywords. If a location is configured, temporarily remove it to determine whether geographic targeting is restricting the available results.

You can also add additional email domains if your research requires broader contact discovery.

Partial Results

A partial result set does not necessarily indicate an error. The requested number is a collection target or cap, while actual results depend on the available relevant information.

Try additional keywords, broader locations, or additional email domains when appropriate.

Missing Fields

Different search results can contain different amounts of publicly available information. Review the corresponding URL and description when a particular record contains limited context.

Unwanted Results

Add relevant words or phrases to excludeWords. Remember that excluded terms found in a result description cause that entire result description to be skipped for email extraction.

Longer Runs

Broad searches using many keyword and domain combinations can take longer. For wider runs, make sure the Apify run timeout is appropriate for the amount of work being requested. The configured default run timeout described by the Actor is 3600 seconds.

Frequently Asked Questions

What does the Basis Email Scraper do?

The Basis Email Scraper searches for relevant Basis results using your keywords and extracts publicly available email addresses matching the configured email domains.

What keywords should I use?

Use specific terms related to the people, businesses, services, industries, or topics you want to research. For example, technology research could use IT service, software developer, and web developer.

Can I use multiple keywords?

Yes. The keywords field accepts an array, allowing you to process multiple search terms in one run.

Can I search a specific city or country?

Yes. The optional location field accepts a country, state, or city and can be used to narrow the search.

Which email domains can I search?

You can provide email-domain suffixes through customDomains. The default is @gmail.com, while additional domains such as @yahoo.com and @outlook.com can be supplied.

Does maxEmails guarantee that many emails?

No. maxEmails controls the maximum target for each keyword + domain combination. The Actor can only collect addresses that are actually available in relevant results.

Can I exclude unwanted results?

Yes. Use excludeWords to specify words or phrases that should cause a result description to be skipped.

Does the Actor remove duplicate emails?

The Actor tracks discovered email addresses and avoids collecting the same email address again.

What data does the Basis Email Scraper return?

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

Can I use this Actor for business research?

Yes. Its keyword, location, domain, and exclusion settings make it suitable for structured business and contact research where publicly available information is relevant.

What should I do if I get too few results?

Try adding related keywords, broadening or removing the location filter, and adding additional email domains. Starting with several specific search terms can provide broader research coverage.

NLP Keywords

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Final Overview

Basis Email Scraper provides a configurable way to discover publicly available email addresses associated with relevant Basis search results.

With support for multiple keywords, optional location targeting, custom email domains, exclusion words, per-combination email limits, duplicate tracking, and structured dataset output, the Actor can support focused contact discovery and research workflows.

The most effective approach is to use several relevant and specific search terms, select email domains appropriate to your research, apply location filtering only when necessary, and review the resulting dataset for relevance and accuracy.

Contact me: Alphascraper69@gmail.com