Manageo Email Scraper

🔍 Manageo Email Scraper – Overview

Manageo Email Scraper extracts publicly discoverable email addresses from Manageo profiles based on the keywords, locations, and email domains you specify. It is designed for lead research, business prospecting, contact discovery, market research, and building structured contact datasets from Manageo search results.

Instead of manually opening profiles and looking for contact information, Manageo Email Scraper searches for relevant Manageo results, reads the available profile information, identifies matching email addresses, and stores the results in an Apify Dataset.

💡 Manageo Email Scraper at a glance

• Search Manageo profiles using multiple keywords
• Optionally narrow searches by country, state, city, or region
• Filter results by specific email domain suffixes
• Exclude profiles whose descriptions contain unwanted terms
• Remove duplicate email addresses across the run
• Store results incrementally in an Apify Dataset
• Use a configurable email target from 1 to 10,000 per keyword/domain combination
• Free users are limited to 100 emails by the Actor's plan handling

The easiest workflow is simple: enter specific keywords, optionally provide a location, choose the email domains you need, set the maximum number of emails, and start the Actor.

🔹 Manageo Email Scraper – Key Features

Manageo Email Scraper combines keyword targeting, geographic filtering, domain filtering, exclusion rules, and structured lead collection in one workflow.

🚀 Key Features

• Keyword-based discovery: Search using one or many business-related keywords.
• Location targeting: Add a city, country, state, or other geographic term when regional targeting is required.
• Custom email domains: Target domains such as @gmail.com, @yahoo.com, @outlook.com, or other suffixes.
• Exclude words: Skip profile snippets containing selected words or phrases.
• Per-combination limits: Set a maximum email target for every keyword + domain combination.
• Duplicate prevention: The same email address is not collected repeatedly during the run.
• Structured dataset: Results are stored with keyword, title, description, URL, and email information.
• Incremental storage: Records are pushed as they are discovered instead of waiting for the entire run to finish.
• Resume support: Run progress is retained so interrupted processing can continue from its stored position.

These features make Manageo Email Scraper suitable for both small targeted searches and larger keyword-based contact discovery jobs.

📊 Manageo Email Scraper – What Data Can You Extract?

The main purpose of Manageo Email Scraper is to turn relevant Manageo search results into structured lead records.

Each collected record contains the search context and information associated with the discovered result.

📦 Output / Data Fields

Field	Description
keyword	Keyword that produced the result
title	Title associated with the discovered result
description	Search-result description or profile snippet
url	URL associated with the result
email	Email address discovered in the result
network	Source network value identifying the Manageo source

The dataset view is configured to prominently display keyword, title, description, url, and email, making the results easy to inspect and process.

The Manageo Email Scraper does not claim to retrieve private contact information. Results depend on email addresses that are publicly exposed in the searchable information available to the Actor.

⚙️ Manageo Email Scraper – How to Use It

Using Manageo Email Scraper requires only a few input decisions. The quality of the search terms has a direct effect on the relevance and volume of the results.

📝 1. Add your keywords

Enter one or more keywords describing the businesses, professions, services, or topics you want to discover.

Specific combinations usually provide more focused results than very broad terms.

For example, instead of only searching:

fitness

consider:

fitness coach
fitness trainer
online fitness coach
fitness instructor

Multiple related keywords allow Manageo Email Scraper to cover different search intents.

📍 2. Add an optional location

Use the location field when you need geographic targeting.

Examples include:

New York
Paris
France
Texas
Chicago

Leave the field empty when geographic filtering is unnecessary.

✉️ 3. Choose email domains

The customDomains field controls which email suffixes the Actor searches for.

Example:

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

You can also use a company-specific domain when your search requires business email addresses.

🔢 4. Set the email limit

maxEmails accepts values from 1 to 10,000.

The limit is applied separately to each keyword + email-domain combination, rather than being one shared number for the entire run.

For example, with:

3 keywords × 2 email domains × 20 max emails

the Actor processes six combinations, with a target of up to 20 emails for each combination. Duplicate addresses can reduce the final unique count.

🚫 5. Add exclusions

Use excludeWords to skip unwanted profile descriptions.

For example:

["crypto", "onlyfans"]

A matching description is skipped so that an email is not collected from that result.

Single-word exclusions use whole-word matching, while phrases can match as text within the description. Matching is case-insensitive.

🔎 How to Extract Manageo Emails with Specific Keywords

The most practical way to use Manageo Email Scraper is to build a keyword set around the type of contact you need.

For business prospecting, combine a broad industry term with specific roles, services, or specialties.

For example:

web designer
web development agency
freelance web designer
ecommerce developer

You can then add several email domains:

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

This creates multiple search combinations and increases the number of opportunities for discovering relevant email addresses.

Location can be added when the project is limited to a market such as:

London
United Kingdom
Manchester

🎯 Search-quality tip

• More specific keywords can improve relevance.
• Related keyword variations can expand coverage.
• Removing a location can broaden discovery.
• Adding additional email domains can reveal different contact types.
• Narrow searches may naturally return fewer emails.

🧩 Can Manageo Email Scraper Search by Location?

Yes. Manageo Email Scraper supports an optional location input.

The field accepts a manually entered country, state, city, or similar geographic term. This allows users to combine business intent with geographic targeting.

For example:

Keyword: dental clinic
Location: Paris
Domain: @gmail.com

This approach can be useful when building location-specific prospect lists or researching businesses in a defined geographic market.

Leaving location blank removes that geographic keyword from the search and provides broader coverage.

🛠️ Manageo Email Scraper – Input

The following inputs are available in the Actor configuration.

Input	Type	Required	Default	Range / Notes
keywords	Array	Yes	skincare, cosmetics	One or more search terms
location	String	No	Empty	Country, state, city, or region
customDomains	Array	No	@gmail.com	Email suffixes to target
maxEmails	Integer	No	10	1–10,000 per keyword/domain combination
excludeWords	Array	No	Empty	Words or phrases to skip

📥 Sample Input

{
  "keywords": [
    "fitness coach",
    "personal trainer",
    "online fitness coach"
  ],
  "location": "New York",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

This configuration tells Manageo Email Scraper to search three keyword variations, apply the New York location, look for three email suffixes, target up to 20 emails for each combination, and skip descriptions containing the excluded terms.

📤 Manageo Email Scraper – Output

The collected records are stored in an Apify Dataset, where they can be reviewed and processed as structured data.

Sample Output

{
  "network": "Manageo.com",
  "keyword": "fitness coach",
  "title": "Example Fitness Coach",
  "description": "Example profile description containing a public email address.",
  "url": "https://example.com/profile",
  "email": "contact@example.com"
}

A real result will depend on what is publicly available for the searched terms and domains. The Actor does not guarantee that every searched profile contains an email address.

The dataset is particularly useful for downstream analysis because each record preserves the original search keyword alongside the discovered contact and result context.

💼 Manageo Email Scraper – Use Cases

Manageo Email Scraper can support a range of contact-discovery and research workflows where public email information is useful.

📌 Common Use Cases

• Lead generation: Build targeted prospect datasets around specific industries or services.
• B2B prospecting: Search professional and business-related keywords with company email domains.
• Local business research: Combine keywords with cities, regions, or countries.
• Market research: Collect publicly listed contact information for defined market segments.
• Agency prospecting: Discover businesses that may require marketing, design, development, or consulting services.
• Outreach list preparation: Create structured datasets that can be reviewed before use in an outreach workflow.
• Competitive research: Explore businesses and public contact information within selected categories.
• Data enrichment: Combine the collected email, URL, title, and description with information from other workflows.

Results should be reviewed for accuracy, relevance, and appropriate use before contacting individuals or organizations.

💰 Pricing and Usage Limits

The provided Actor configuration does not specify a fixed monetary price, so this README does not state an invented per-run or per-result price.

The Actor does include plan-dependent result handling.

💳 Important Usage Note

• Free users: The Actor applies a maximum of 100 collected emails.
• Paid users: The Actor does not impose that 100-email result ceiling.
• maxEmails still controls the requested collection target and accepts values from 1 to 10,000.
• Actual results may be lower than the requested target because matching public email addresses may not be available.

The final number of records also depends on duplicate emails, keyword relevance, available search results, email-domain availability, exclusions, and other search conditions.

✅ Tips and Best Practices for Manageo Email Scraper

Good input design usually matters more than simply increasing the email limit.

🎯 Use specific keyword variations

Build keyword groups around roles, business types, services, and specialties.

restaurant
restaurant owner
restaurant manager
restaurant consultant

This gives Manageo Email Scraper more search variations to work with.

🌎 Start with the right geographic scope

Use a city or country when geographic precision matters. Remove the location when broader discovery is preferred.

✉️ Test several email domains

Start with the domains most relevant to the project, then expand when results are sparse.

@gmail.com
@yahoo.com
@outlook.com
@hotmail.com

Business domains may also be useful for B2B-oriented searches.

🚫 Use exclusions carefully

Exclusion words can improve dataset relevance, but overly broad exclusions may remove useful results.

Use specific terms that clearly identify unwanted profiles.

📈 Understand per-combination limits

The maxEmails value is not a single global target.

For example:

5 keywords × 4 domains × 10 emails

creates 20 keyword/domain combinations, each with its own requested target. Duplicate prevention still applies across the run, so the final number of unique emails can be lower.

⚠️ Important

A higher maxEmails value does not guarantee more results. The Actor can only collect emails that are actually discoverable and match the selected search conditions.

🔄 Resume and Incremental Collection

Manageo Email Scraper saves progress during collection and pushes discovered records incrementally into the dataset.

This design is useful for longer jobs because the Actor does not depend entirely on completing every search before storing results.

The Actor also maintains a record of already discovered email addresses, helping prevent the same email from being added repeatedly during a run.

Collection may stop when the search produces insufficient new email results, when available result pages are exhausted, when repeated search failures occur, or when the configured target has been reached.

⚠️ Limitations

No scraper can guarantee a fixed number of contacts from a public source.

Important limitations for Manageo Email Scraper include:

• Only email addresses discoverable in the relevant searchable result information can be collected.
• A keyword may produce few or no matching email addresses.
• Narrow location filters can reduce the number of available results.
• Restrictive email-domain filters can reduce coverage.
• Exclusion terms can remove otherwise relevant profiles.
• Duplicate email addresses are ignored.
• The requested email target is a maximum target, not a guaranteed result count.
• Search availability and source content can change over time.

These limitations are normal for public web data extraction and should be considered when planning large lead-research projects.

❓ Frequently Asked Questions

🔍 What is Manageo Email Scraper?

Manageo Email Scraper is an Apify Actor for discovering publicly available email addresses associated with relevant Manageo search results using keywords, optional locations, and selected email domains.

📧 What email domains can Manageo Email Scraper search?

You can supply custom email suffixes through customDomains, including common providers such as @gmail.com, @yahoo.com, and @outlook.com, as well as other domains you need to target.

📍 Can Manageo Email Scraper target a specific city or country?

Yes. The optional location field can be used to narrow searches by a city, country, state, or region.

🔢 What is the maximum email limit?

The maxEmails input supports values from 1 to 10,000. The configured target applies independently to each keyword + domain combination.

🆓 Is there a free-user limit?

Yes. The Actor applies a 100-email maximum for free users. Paid users do not have that code-imposed 100-email ceiling.

🚫 How does the excludeWords filter work?

Manageo Email Scraper checks result descriptions for the supplied exclusion terms. Matching is case-insensitive. Single words are matched as whole words, while phrases are matched as text.

♻️ Does the Actor remove duplicate emails?

Yes. Email addresses already discovered during the run are tracked so the same address is not collected repeatedly.

📊 Where are the results stored?

Results are pushed to an Apify Dataset, where they can be viewed as structured records and used for downstream data workflows available through Apify.

🎯 Why did I receive fewer emails than my maxEmails value?

maxEmails is a target limit, not a guarantee. The available search results may contain fewer matching addresses, or duplicates, exclusions, location filters, and selected domains may reduce the final count.

💡 How can I improve Manageo Email Scraper results?

Use several specific keyword variations, consider removing an overly narrow location, test additional email domains, and keep exclusion rules focused. Combining related search terms is often more useful than relying on one broad keyword.

📞 Support

For questions, customization requests, or assistance related to Manageo Email Scraper, contact:

• contact me by email : alphascraper69@gmail.com